46
Water and Wastewater Conservation and Demand Management Plan 2014 -2019

Water and Wastewater Conservation and ... - Utilities … Plan July 7th 2014.pdfIncorporating Efficiency into the Selection and Evaluation of ... water and wastewater facilities that

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Water and Wastewater

Conservation and Demand Management Plan

2014 -2019

Contents

Our Organization 4

Vision Statement 5

Goals and Objectives 5

Background Information 6

Regulatory Requirements 6

Letter from the President and CEO 7

Executive Summary 9

Current Energy Situation 10

Leadership and Structure of Current Energy management 10

Existing Strategy for Finding Conservation Measures 10

Metering Improvements 11

Data Analytics 11

Facility Assessments 11

Increasing Awareness and Gathering Suggestions 11

Existing Strategy for Analyzing and Implementing Measures 11

Financial and Operational Benefits Analysis 12

Presentation of Findings 12

Establishing Operational Feasibility 12

Incentive Pre-Application 12

Implementation 12

Incentive Post-Application 13

2011 and 2012 Energy Benchmarks 14

What Wersquove Done in the Last Year 15

Preamble 15

Developed an Energy Management Team 15

Energy Management Meetings 15

Created a Centralized Location for Sewage Flow Data 16

1

Improved Metering Throughout the System 16

Produced Analytical Reports for our Largest Energy Consumers 16

Incorporating Efficiency into the Selection and Evaluation of Capital Investments 17

Performed Facility Assessments 17

Implemented Demand Reduction Measures 18

Encouraged Staff Involvement Regarding Conservation Suggestions 18

What wersquove done in the last 5 years 19

Preamble 19

Separation of Combined Sewers 19

Water Conservation Efforts 20

Saint Lawrence College Research Project 20

Active Leak Detection (ALD) 20

Water Conservation Demonstration Garden 22

Preventative Plumbing Program 22

Toilet Rebate 23

Water Efficiency Retrofit Incentive Program (WERIP) 23

Ravensview WWTP 23

River St SPS 24

What wersquore doing in the Next 5 years 25

Preamble 25

Measures Still Under Investigation 26

VFD implementation at King St WTP 26

Incorporating Rain into Control Strategy at River St 27

Pump Energy Indicator Assessments 28

Portsmouth Redirect 29

Reduced thermostat set-points at some of our un-manned facilities 30

Measures Planned to be Implemented and Their Savings Estimates 30

Metering Improvements 30

Dalton Avenue Pump Replacement 30

2

Point Pleasant WTP 31

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements 31

List of Acronyms 33

Appendices 34

Appendix A - Produced Analytical Reports for Our Largest Energy Consumers 34

Appendix B - Implemented Demand Reduction Measures 36

Third Avenue Reservoir 36

Dalton Avenue Sewage Pumping Station 37

Appendix C - VFD Analysis for Pump 4 at King St WTP 39

Appendix D - Description of Rates 45

Time of Use 45

Demand 45

3

Our Organization Utilities Kingston an asset management company is an Ontario Business Corporation wholly

owned by the City of Kingston responsible for managing operations and maintaining the utility

assets for the City of Kingston The diagram below shows our corporate structure The blue

lines represent management services and the grey lines ownership of assets

The City of Kingston owns the gas water and sewer assets and is the sole shareholder of

Kingston Hydro who owns the electric assets ll profits from Utilities Kingstonrsquos operations go

back to the ityrsquos Reserve Funds and are invested back into the city primarily in the form of

infrastructure improvements

Utilities Kingston is recognized as an industry leader in delivering innovative energy and water

conservation programs to its customers

In 2013 Utilities Kingston was presented with the Ontario Water Works Association

award for Excellence in Water Efficiency Programming

In 2014 we received the Electricity Distributorsrsquo ssociation ward for onservation

Leadership Excellence

In line with the multi utility model Utilities Kingstonrsquos Water and Wastewater Department has

leveraged the Energy onservation Departmentrsquos experience helping customers conserve

energy and water to help inform the development of this plan Their experience will be further

leveraged to maximize savings and incentives achieved throughout the implementation of this

plan

Utilities Kingston is also a partner and supporter of the Sustainable Kingston initiative helping

to achieve the ity of Kingstonrsquos vision of becoming anadarsquos Most Sustainable ity

4

Vision Statement Utilities Kingstonrsquos Water and Wastewater CDM Vision Statement

Our aim is to significantly reduce the environmental impact of Kingstonrsquos water and

wastewater services by continually improving the efficiency of our treatment collection and

distribution systems through the implementation of cost effective CDM measures into our

existing infrastructure processes planning and operations

Goals and Objectives Improve the efficiency of our facilities reducing both operational expense and

environmental impact

Lay out a structure for finding and implementing measures

Include best practices in all operational decision making and design

Establish benchmarks to mark and monitor improvement

5

Background Information Utilities Kingstonrsquos Water and Wastewater department has produced t his Conservation and

demand management plan in response to regulation 39711 under the Green Energy and Green

Economy Act having come into effect on January 1st of 2012 The regulation requires that all

public agencies as defined b y the regulation submit to the Ministry of Energy a summary of

energy consumption and greenhouse gas (GHG) emissions on or before July 1st annually and

make public a Conservation and Demand Management (CDM) Pl an on or before July 1st o f 2014

and every 5th anniversary thereafter Utilities Kingston is reporting on all water and wastewater

facilities that are managed and operated by Utilities Kingston but that are owned b y the City of

Kingston Utilities Kingston is not by definition a ldquoPublic gencyrdquo or a ldquoMunicipal Services

Boardrdquo but has produced this plan in order to maintain consistency with industry wide practice

and in accordance with the goals and vision of both our company and the City of Kingston This

CDM Plan is a living document and will be updated re-evaluated and re-posted o n every 5th

anniversary in order to monitor and evaluate the performance of our water and wastewater

facilities The regulation sets no predefined t emplate for the plan but has stated that it must

include these regulatory requirements

Regulatory Requirements The annual summary of energy consumption and GHG emissions The agencyrsquos goals and objectives for conservation Proposed mea sures (for any facilities but primarily f or pumping) consisting of a

Description of existing or planned efficiency or conservation measures including estimates of o Energy or demand savings o Lifetime o Costs and savings

Description of existing or planned renewable energy generation including estimates of o Electrical generation annually o Lifetime o Costs and savings

Description of existing or planned thermal technologies such as ground water or air source heat pumps or solar thermal air or water technologies including estimates of o Thermal energy harnessed o Lifetime o Costs and savings

Confirmation of approval from senior management

6

Letter from the President and CEO We at Utilities Kingston are very proud to assist our Shareholder The

City of Kingston in its goal of becoming anadarsquos most sustainable city

environmentally economically socially and culturally

With the implementation of regulation 39711 the government of

Ontario has initiated a focus on the environmental impact of public

sector facilities and buildings Utilities Kingston is supportive of this

regulation and works constantly to fulfill the goals of this regulation We

manage The City of Kingstonrsquos water and wastewater systems with a

goal that results in minimal impact on our surrounding environment

Conservation and efficiency plays a significant part in reducing that impact

Efficiency is literally at the core of this company It can be seen not only in our capital

expenditures but in the unique organizational structure of the corporation itself In most

municipalities individual utilities are stand-alone with each utility being managed by separate

organizations with separate finance billing metering warehousing and engineering

departments Utilities Kingston has combined all utilities under one roof water wastewater

gas electrical services and broadband fiber optics services This structure enables our different

divisions to work together and leverage each otherrsquos resources leading to timely and cost-

effective completion of duties This shared services model applies to our systems customer

care billing and accounting as well as equipment human resources and even our fleet (one call

one crew and one bill) In this way we can provide all services in the most economical and

energy efficient manner possible The combined capital and operational savings from this

convergence allows us to invest more into the quality and reliability of our services while

controlling costs for our customers

Our water and wastewater system is one of Kingstonrsquos largest energy consumers Unnecessary

consumption is wasteful of financial and environmental resources and for that reason

conservation and efficiency must be central to our system planning maintenance and

equipment procurement processes

This last year has brought several improvements to the structure of our water and Wastewater

department A Conservation and Demand Management (CDM) team with regular scheduled

meeting has been instituted a structurestrategy for finding and implementing CDM measures

has been established and benchmarking and statistical analysis of energy data have been

employed to better facilitate the efficient operation of our facilities We will continue to

investigate measures to integrate CDM into all that we do in the ongoing operations and capital

7

improvements of the infrastructure the citizens of The City of Kingston has entrusted us to

manage

Very Sincerely

Jim Keech

President and CEO Utilities Kingston

8

Executive Summary This Conservation and demand management plan was produced in response to regulation

39711 under the Green Energy and Green Economy Act As required by the regulation it

includes our facilities consumption data for the reporting year our goals and objectives for

conservation and demand management for the upcoming 5 years a list of proposed measures

and confirmation of approval from our senior management

This Document is structured in 4 main sections laying out our current energy situation our

efforts for developing an energy management structure the most noteworthy measures

implemented in the last 5 years and the measures that are proposed for the next 5 years

Section one is our current energy situation It defines our energy management leadership

structure the strategies for finding and implementing measures and includes the summary of

energy consumption and GHG emissions for the reporting year

Section two is what wersquove done in the last year It covers the steps wersquove taken to establish a

team with regular scheduled meetings and a structure by which to bring measures to

completion It exemplifies our efforts to create a method by which to find and ultimately

implement measures throughout the system These efforts include metering and data storage

improvements analytical reporting facility assessments and incorporating energy efficiency

into the selection and evaluation of capital investments

Section three is what wersquove done in the last 5 years It covers the noteworthy measures

implemented in that time period including the separation of our combined sewers and the

retrofits done to some of our larger facilities This section introduces the link between water

conservation and energy conservation and our water conservation and active leak detection

programs are noted for their significant energy savings

Section four is what wersquore going to do in the next 5 years It covers the measures that are still

being evaluated the planned measures for the next five years and includes an estimate of the

costs energydemand savings and the expected lifetime for each of the measures

9

Utilities Kingstonrsquos Water and Wastewater Conservation and Demand Management Plan

Current Energy Situation o Leadership and structure of current energy management o Existing strategy for finding conservation measures

o Existing strategy for analyzing and implementing conservation measures

o Energy benchmarks

Leadership and Structure of Current Energy management Kingstonrsquos water and wastewater system is an interconnected energy network Changes that

are made are not localized they often affect other parts of the system This is a significant

factor when it comes to facilities that are governed by highly regulated standards Itrsquos not just

the efficiency of the system under consideration we need to consider efficiency as well as

quality quantity and safety ecause of this it doesnrsquot make sense to bring in one person to

find analyze and implement measures for the whole system It was absolutely necessary to

establish a team There needed to be a merger between the knowledge of energy efficiency

and the knowledge of process management The team that was selected is led by the Director

of Water and Wastewater Operations and is comprised of four Supervisors and the Energy

Management Associate which is currently an Energy Systems Engineering Technology graduate

from St Lawrence College This team was established to find and evaluate viability of potential

investments quantify the potential savings for these investments and ensure implementation

of cost effective CDM measures throughout the system This team meets regularly to discuss

the viability of measures and to suggest ideas and possible opportunities to be investigated

Existing Strategy for Finding Conservation Measures Our current strategy for finding potential measures consists of four ongoing steps

1 Metering Improvements

2 Data analytics

10

3 Facility assessments 4 Increasing awareness and Gathering suggestions

Metering Improvements

Metering improvements are made on a consistent basis in order to increase the quality and

quantity of our facility data This will allow us to perform more accurate analyses having better

correlation strengths and ultimately provide us with more confidence in making conclusions

from the data

Data Analytics

For some of our larger facilities wersquove implemented ongoing data analytics to better aide us in

managing each facilityrsquos energy consumption The analyses include breaking down the energy

usage into its key components and looking for excessive consumption or performance

anomalies There is more on our data analytics for the facilities in Appendix A

Facility Assessments

Facility assessments are performed on the facilities that have been red flagged by data analytics

or where a potential measure has been proposed by staff The assessments are used to confirm

the causes of the anomalies or the excessive consumption and ultimately establish the ldquobase

caserdquo for a measure From here there are usually several DM measures that could be

implemented The possible measures are noted for further evaluation

Increasing Awareness and Gathering Suggestions

Increasing awareness and gathering suggestions from operational staff is an excellent way to

establish a solid list of potential measures The general staff are in the facilities day in and day

out and offer a wealth of knowledge and opinion on operational issues design constraints and

process inefficiencies

Existing Strategy for Analyzing and Implementing Measures Once a list of potential measures has been identified they need to be evaluated on their

operational impact and economic benefit This process consists of 6 general steps

1 Financial and Operational Benefits Analysis

2 Presentation of Findings

3 Establishing operational feasibility

4 Incentive pre-approval

5 Implementation

6 Incentive post-approval

11

Financial and Operational Benefits Analysis

A financial analysis is performed on each of the measures to establish their economic viability

The Energy management Associate works in collaboration with the Conservation and Demand

Management department to determine eligibility and EMampV requirements for potential

incentive applications The lifetime energy savings capital and installation costs as well as the

possible upfront incentive contribution are calculated and a payback period is determined

Payback periods of up to 5 years are considered but will be implemented according to order of

importance Economic viability is not the only factor considered there may also be operational

benefits or detriments to quality quantity or safety to weigh in on for example a newer higher

efficiency motor is also safer and more reliable or a cheaper measure with a shorter payback

may put limitations on the system These and similar advantages and disadvantages are noted

in the analysis

Presentation of Findings

The financial and operational benefits analysis is presented in business case format by the

Energy Management Associate to the Director of water and wastewater Operations The risk

payback and benefits are all considered and a decision is made whether to pursue

implementation of the measure

Establishing Operational Feasibility

Once it has been decided to pursue implementation operational feasibility must be

established This is done at the energy management meetings where the cost-effective

measures are discussed with the operational team to consider potential quality quantity or

safety concerns This will quite often lead to further investigation of operational impact

including research and additional site assessments Depending on the complexity andor

economic payback of the measure it may also be reasonable to seek additional advice from a

consultancy or a specialist Measures that are deemed both cost effective and operationally

feasible are agreed upon and move on to the next step

Incentive Pre-Application

Pre-project applications for financial incentives are made at this point Incentives for eligible

measures are calculated based on potential energy or demand savings Once the measure is

approved implementation can begin

Implementation

The cost-effective operationally feasible and incentive pre-approved measures get added to

the capital budget for the water and wastewater utilities At this point the measure will be

implemented based on order of importance factoring in emergency and operationalbudgetary

limitations

12

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

me

Addr

ess

Post

al

Code

Acco

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Num

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Met

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Num

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2012

Flo

w Vo

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Ene

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(m3 )

2011

ek

Wh

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Wh

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2012

kg

of

GHG

Note

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BAR

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T C

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T C

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K7L

4T2

2038

66E8

6019

358

1151

904

837

016

3211

06R

IVER

ST

SEW

AGE

PUM

PING

STA

TIO

N12

RIV

ER S

TK7

K 2A

120

7678

E523

9117

323

3064

276

225

5192

170

180

3039

86TH

IRD

AVE

NUE

WAT

ER R

ESER

VOIR

14

1 TH

IRD

AVE

K7K

2J8

1340

41E5

5648

1276

2005

032

285

013

315

719

248

YONG

E ST

SEW

AGE

PUM

PING

STA

TIO

N20

YO

NGE

STK7

M 1

E313

8843

E661

01-

477

3640

816

025

-46

Insu

ffici

ent F

low

Dat

a

1030

06E8

6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Contents

Our Organization 4

Vision Statement 5

Goals and Objectives 5

Background Information 6

Regulatory Requirements 6

Letter from the President and CEO 7

Executive Summary 9

Current Energy Situation 10

Leadership and Structure of Current Energy management 10

Existing Strategy for Finding Conservation Measures 10

Metering Improvements 11

Data Analytics 11

Facility Assessments 11

Increasing Awareness and Gathering Suggestions 11

Existing Strategy for Analyzing and Implementing Measures 11

Financial and Operational Benefits Analysis 12

Presentation of Findings 12

Establishing Operational Feasibility 12

Incentive Pre-Application 12

Implementation 12

Incentive Post-Application 13

2011 and 2012 Energy Benchmarks 14

What Wersquove Done in the Last Year 15

Preamble 15

Developed an Energy Management Team 15

Energy Management Meetings 15

Created a Centralized Location for Sewage Flow Data 16

1

Improved Metering Throughout the System 16

Produced Analytical Reports for our Largest Energy Consumers 16

Incorporating Efficiency into the Selection and Evaluation of Capital Investments 17

Performed Facility Assessments 17

Implemented Demand Reduction Measures 18

Encouraged Staff Involvement Regarding Conservation Suggestions 18

What wersquove done in the last 5 years 19

Preamble 19

Separation of Combined Sewers 19

Water Conservation Efforts 20

Saint Lawrence College Research Project 20

Active Leak Detection (ALD) 20

Water Conservation Demonstration Garden 22

Preventative Plumbing Program 22

Toilet Rebate 23

Water Efficiency Retrofit Incentive Program (WERIP) 23

Ravensview WWTP 23

River St SPS 24

What wersquore doing in the Next 5 years 25

Preamble 25

Measures Still Under Investigation 26

VFD implementation at King St WTP 26

Incorporating Rain into Control Strategy at River St 27

Pump Energy Indicator Assessments 28

Portsmouth Redirect 29

Reduced thermostat set-points at some of our un-manned facilities 30

Measures Planned to be Implemented and Their Savings Estimates 30

Metering Improvements 30

Dalton Avenue Pump Replacement 30

2

Point Pleasant WTP 31

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements 31

List of Acronyms 33

Appendices 34

Appendix A - Produced Analytical Reports for Our Largest Energy Consumers 34

Appendix B - Implemented Demand Reduction Measures 36

Third Avenue Reservoir 36

Dalton Avenue Sewage Pumping Station 37

Appendix C - VFD Analysis for Pump 4 at King St WTP 39

Appendix D - Description of Rates 45

Time of Use 45

Demand 45

3

Our Organization Utilities Kingston an asset management company is an Ontario Business Corporation wholly

owned by the City of Kingston responsible for managing operations and maintaining the utility

assets for the City of Kingston The diagram below shows our corporate structure The blue

lines represent management services and the grey lines ownership of assets

The City of Kingston owns the gas water and sewer assets and is the sole shareholder of

Kingston Hydro who owns the electric assets ll profits from Utilities Kingstonrsquos operations go

back to the ityrsquos Reserve Funds and are invested back into the city primarily in the form of

infrastructure improvements

Utilities Kingston is recognized as an industry leader in delivering innovative energy and water

conservation programs to its customers

In 2013 Utilities Kingston was presented with the Ontario Water Works Association

award for Excellence in Water Efficiency Programming

In 2014 we received the Electricity Distributorsrsquo ssociation ward for onservation

Leadership Excellence

In line with the multi utility model Utilities Kingstonrsquos Water and Wastewater Department has

leveraged the Energy onservation Departmentrsquos experience helping customers conserve

energy and water to help inform the development of this plan Their experience will be further

leveraged to maximize savings and incentives achieved throughout the implementation of this

plan

Utilities Kingston is also a partner and supporter of the Sustainable Kingston initiative helping

to achieve the ity of Kingstonrsquos vision of becoming anadarsquos Most Sustainable ity

4

Vision Statement Utilities Kingstonrsquos Water and Wastewater CDM Vision Statement

Our aim is to significantly reduce the environmental impact of Kingstonrsquos water and

wastewater services by continually improving the efficiency of our treatment collection and

distribution systems through the implementation of cost effective CDM measures into our

existing infrastructure processes planning and operations

Goals and Objectives Improve the efficiency of our facilities reducing both operational expense and

environmental impact

Lay out a structure for finding and implementing measures

Include best practices in all operational decision making and design

Establish benchmarks to mark and monitor improvement

5

Background Information Utilities Kingstonrsquos Water and Wastewater department has produced t his Conservation and

demand management plan in response to regulation 39711 under the Green Energy and Green

Economy Act having come into effect on January 1st of 2012 The regulation requires that all

public agencies as defined b y the regulation submit to the Ministry of Energy a summary of

energy consumption and greenhouse gas (GHG) emissions on or before July 1st annually and

make public a Conservation and Demand Management (CDM) Pl an on or before July 1st o f 2014

and every 5th anniversary thereafter Utilities Kingston is reporting on all water and wastewater

facilities that are managed and operated by Utilities Kingston but that are owned b y the City of

Kingston Utilities Kingston is not by definition a ldquoPublic gencyrdquo or a ldquoMunicipal Services

Boardrdquo but has produced this plan in order to maintain consistency with industry wide practice

and in accordance with the goals and vision of both our company and the City of Kingston This

CDM Plan is a living document and will be updated re-evaluated and re-posted o n every 5th

anniversary in order to monitor and evaluate the performance of our water and wastewater

facilities The regulation sets no predefined t emplate for the plan but has stated that it must

include these regulatory requirements

Regulatory Requirements The annual summary of energy consumption and GHG emissions The agencyrsquos goals and objectives for conservation Proposed mea sures (for any facilities but primarily f or pumping) consisting of a

Description of existing or planned efficiency or conservation measures including estimates of o Energy or demand savings o Lifetime o Costs and savings

Description of existing or planned renewable energy generation including estimates of o Electrical generation annually o Lifetime o Costs and savings

Description of existing or planned thermal technologies such as ground water or air source heat pumps or solar thermal air or water technologies including estimates of o Thermal energy harnessed o Lifetime o Costs and savings

Confirmation of approval from senior management

6

Letter from the President and CEO We at Utilities Kingston are very proud to assist our Shareholder The

City of Kingston in its goal of becoming anadarsquos most sustainable city

environmentally economically socially and culturally

With the implementation of regulation 39711 the government of

Ontario has initiated a focus on the environmental impact of public

sector facilities and buildings Utilities Kingston is supportive of this

regulation and works constantly to fulfill the goals of this regulation We

manage The City of Kingstonrsquos water and wastewater systems with a

goal that results in minimal impact on our surrounding environment

Conservation and efficiency plays a significant part in reducing that impact

Efficiency is literally at the core of this company It can be seen not only in our capital

expenditures but in the unique organizational structure of the corporation itself In most

municipalities individual utilities are stand-alone with each utility being managed by separate

organizations with separate finance billing metering warehousing and engineering

departments Utilities Kingston has combined all utilities under one roof water wastewater

gas electrical services and broadband fiber optics services This structure enables our different

divisions to work together and leverage each otherrsquos resources leading to timely and cost-

effective completion of duties This shared services model applies to our systems customer

care billing and accounting as well as equipment human resources and even our fleet (one call

one crew and one bill) In this way we can provide all services in the most economical and

energy efficient manner possible The combined capital and operational savings from this

convergence allows us to invest more into the quality and reliability of our services while

controlling costs for our customers

Our water and wastewater system is one of Kingstonrsquos largest energy consumers Unnecessary

consumption is wasteful of financial and environmental resources and for that reason

conservation and efficiency must be central to our system planning maintenance and

equipment procurement processes

This last year has brought several improvements to the structure of our water and Wastewater

department A Conservation and Demand Management (CDM) team with regular scheduled

meeting has been instituted a structurestrategy for finding and implementing CDM measures

has been established and benchmarking and statistical analysis of energy data have been

employed to better facilitate the efficient operation of our facilities We will continue to

investigate measures to integrate CDM into all that we do in the ongoing operations and capital

7

improvements of the infrastructure the citizens of The City of Kingston has entrusted us to

manage

Very Sincerely

Jim Keech

President and CEO Utilities Kingston

8

Executive Summary This Conservation and demand management plan was produced in response to regulation

39711 under the Green Energy and Green Economy Act As required by the regulation it

includes our facilities consumption data for the reporting year our goals and objectives for

conservation and demand management for the upcoming 5 years a list of proposed measures

and confirmation of approval from our senior management

This Document is structured in 4 main sections laying out our current energy situation our

efforts for developing an energy management structure the most noteworthy measures

implemented in the last 5 years and the measures that are proposed for the next 5 years

Section one is our current energy situation It defines our energy management leadership

structure the strategies for finding and implementing measures and includes the summary of

energy consumption and GHG emissions for the reporting year

Section two is what wersquove done in the last year It covers the steps wersquove taken to establish a

team with regular scheduled meetings and a structure by which to bring measures to

completion It exemplifies our efforts to create a method by which to find and ultimately

implement measures throughout the system These efforts include metering and data storage

improvements analytical reporting facility assessments and incorporating energy efficiency

into the selection and evaluation of capital investments

Section three is what wersquove done in the last 5 years It covers the noteworthy measures

implemented in that time period including the separation of our combined sewers and the

retrofits done to some of our larger facilities This section introduces the link between water

conservation and energy conservation and our water conservation and active leak detection

programs are noted for their significant energy savings

Section four is what wersquore going to do in the next 5 years It covers the measures that are still

being evaluated the planned measures for the next five years and includes an estimate of the

costs energydemand savings and the expected lifetime for each of the measures

9

Utilities Kingstonrsquos Water and Wastewater Conservation and Demand Management Plan

Current Energy Situation o Leadership and structure of current energy management o Existing strategy for finding conservation measures

o Existing strategy for analyzing and implementing conservation measures

o Energy benchmarks

Leadership and Structure of Current Energy management Kingstonrsquos water and wastewater system is an interconnected energy network Changes that

are made are not localized they often affect other parts of the system This is a significant

factor when it comes to facilities that are governed by highly regulated standards Itrsquos not just

the efficiency of the system under consideration we need to consider efficiency as well as

quality quantity and safety ecause of this it doesnrsquot make sense to bring in one person to

find analyze and implement measures for the whole system It was absolutely necessary to

establish a team There needed to be a merger between the knowledge of energy efficiency

and the knowledge of process management The team that was selected is led by the Director

of Water and Wastewater Operations and is comprised of four Supervisors and the Energy

Management Associate which is currently an Energy Systems Engineering Technology graduate

from St Lawrence College This team was established to find and evaluate viability of potential

investments quantify the potential savings for these investments and ensure implementation

of cost effective CDM measures throughout the system This team meets regularly to discuss

the viability of measures and to suggest ideas and possible opportunities to be investigated

Existing Strategy for Finding Conservation Measures Our current strategy for finding potential measures consists of four ongoing steps

1 Metering Improvements

2 Data analytics

10

3 Facility assessments 4 Increasing awareness and Gathering suggestions

Metering Improvements

Metering improvements are made on a consistent basis in order to increase the quality and

quantity of our facility data This will allow us to perform more accurate analyses having better

correlation strengths and ultimately provide us with more confidence in making conclusions

from the data

Data Analytics

For some of our larger facilities wersquove implemented ongoing data analytics to better aide us in

managing each facilityrsquos energy consumption The analyses include breaking down the energy

usage into its key components and looking for excessive consumption or performance

anomalies There is more on our data analytics for the facilities in Appendix A

Facility Assessments

Facility assessments are performed on the facilities that have been red flagged by data analytics

or where a potential measure has been proposed by staff The assessments are used to confirm

the causes of the anomalies or the excessive consumption and ultimately establish the ldquobase

caserdquo for a measure From here there are usually several DM measures that could be

implemented The possible measures are noted for further evaluation

Increasing Awareness and Gathering Suggestions

Increasing awareness and gathering suggestions from operational staff is an excellent way to

establish a solid list of potential measures The general staff are in the facilities day in and day

out and offer a wealth of knowledge and opinion on operational issues design constraints and

process inefficiencies

Existing Strategy for Analyzing and Implementing Measures Once a list of potential measures has been identified they need to be evaluated on their

operational impact and economic benefit This process consists of 6 general steps

1 Financial and Operational Benefits Analysis

2 Presentation of Findings

3 Establishing operational feasibility

4 Incentive pre-approval

5 Implementation

6 Incentive post-approval

11

Financial and Operational Benefits Analysis

A financial analysis is performed on each of the measures to establish their economic viability

The Energy management Associate works in collaboration with the Conservation and Demand

Management department to determine eligibility and EMampV requirements for potential

incentive applications The lifetime energy savings capital and installation costs as well as the

possible upfront incentive contribution are calculated and a payback period is determined

Payback periods of up to 5 years are considered but will be implemented according to order of

importance Economic viability is not the only factor considered there may also be operational

benefits or detriments to quality quantity or safety to weigh in on for example a newer higher

efficiency motor is also safer and more reliable or a cheaper measure with a shorter payback

may put limitations on the system These and similar advantages and disadvantages are noted

in the analysis

Presentation of Findings

The financial and operational benefits analysis is presented in business case format by the

Energy Management Associate to the Director of water and wastewater Operations The risk

payback and benefits are all considered and a decision is made whether to pursue

implementation of the measure

Establishing Operational Feasibility

Once it has been decided to pursue implementation operational feasibility must be

established This is done at the energy management meetings where the cost-effective

measures are discussed with the operational team to consider potential quality quantity or

safety concerns This will quite often lead to further investigation of operational impact

including research and additional site assessments Depending on the complexity andor

economic payback of the measure it may also be reasonable to seek additional advice from a

consultancy or a specialist Measures that are deemed both cost effective and operationally

feasible are agreed upon and move on to the next step

Incentive Pre-Application

Pre-project applications for financial incentives are made at this point Incentives for eligible

measures are calculated based on potential energy or demand savings Once the measure is

approved implementation can begin

Implementation

The cost-effective operationally feasible and incentive pre-approved measures get added to

the capital budget for the water and wastewater utilities At this point the measure will be

implemented based on order of importance factoring in emergency and operationalbudgetary

limitations

12

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

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Addr

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Post

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477

3640

816

025

-46

Insu

ffici

ent F

low

Dat

a

1030

06E8

6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Improved Metering Throughout the System 16

Produced Analytical Reports for our Largest Energy Consumers 16

Incorporating Efficiency into the Selection and Evaluation of Capital Investments 17

Performed Facility Assessments 17

Implemented Demand Reduction Measures 18

Encouraged Staff Involvement Regarding Conservation Suggestions 18

What wersquove done in the last 5 years 19

Preamble 19

Separation of Combined Sewers 19

Water Conservation Efforts 20

Saint Lawrence College Research Project 20

Active Leak Detection (ALD) 20

Water Conservation Demonstration Garden 22

Preventative Plumbing Program 22

Toilet Rebate 23

Water Efficiency Retrofit Incentive Program (WERIP) 23

Ravensview WWTP 23

River St SPS 24

What wersquore doing in the Next 5 years 25

Preamble 25

Measures Still Under Investigation 26

VFD implementation at King St WTP 26

Incorporating Rain into Control Strategy at River St 27

Pump Energy Indicator Assessments 28

Portsmouth Redirect 29

Reduced thermostat set-points at some of our un-manned facilities 30

Measures Planned to be Implemented and Their Savings Estimates 30

Metering Improvements 30

Dalton Avenue Pump Replacement 30

2

Point Pleasant WTP 31

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements 31

List of Acronyms 33

Appendices 34

Appendix A - Produced Analytical Reports for Our Largest Energy Consumers 34

Appendix B - Implemented Demand Reduction Measures 36

Third Avenue Reservoir 36

Dalton Avenue Sewage Pumping Station 37

Appendix C - VFD Analysis for Pump 4 at King St WTP 39

Appendix D - Description of Rates 45

Time of Use 45

Demand 45

3

Our Organization Utilities Kingston an asset management company is an Ontario Business Corporation wholly

owned by the City of Kingston responsible for managing operations and maintaining the utility

assets for the City of Kingston The diagram below shows our corporate structure The blue

lines represent management services and the grey lines ownership of assets

The City of Kingston owns the gas water and sewer assets and is the sole shareholder of

Kingston Hydro who owns the electric assets ll profits from Utilities Kingstonrsquos operations go

back to the ityrsquos Reserve Funds and are invested back into the city primarily in the form of

infrastructure improvements

Utilities Kingston is recognized as an industry leader in delivering innovative energy and water

conservation programs to its customers

In 2013 Utilities Kingston was presented with the Ontario Water Works Association

award for Excellence in Water Efficiency Programming

In 2014 we received the Electricity Distributorsrsquo ssociation ward for onservation

Leadership Excellence

In line with the multi utility model Utilities Kingstonrsquos Water and Wastewater Department has

leveraged the Energy onservation Departmentrsquos experience helping customers conserve

energy and water to help inform the development of this plan Their experience will be further

leveraged to maximize savings and incentives achieved throughout the implementation of this

plan

Utilities Kingston is also a partner and supporter of the Sustainable Kingston initiative helping

to achieve the ity of Kingstonrsquos vision of becoming anadarsquos Most Sustainable ity

4

Vision Statement Utilities Kingstonrsquos Water and Wastewater CDM Vision Statement

Our aim is to significantly reduce the environmental impact of Kingstonrsquos water and

wastewater services by continually improving the efficiency of our treatment collection and

distribution systems through the implementation of cost effective CDM measures into our

existing infrastructure processes planning and operations

Goals and Objectives Improve the efficiency of our facilities reducing both operational expense and

environmental impact

Lay out a structure for finding and implementing measures

Include best practices in all operational decision making and design

Establish benchmarks to mark and monitor improvement

5

Background Information Utilities Kingstonrsquos Water and Wastewater department has produced t his Conservation and

demand management plan in response to regulation 39711 under the Green Energy and Green

Economy Act having come into effect on January 1st of 2012 The regulation requires that all

public agencies as defined b y the regulation submit to the Ministry of Energy a summary of

energy consumption and greenhouse gas (GHG) emissions on or before July 1st annually and

make public a Conservation and Demand Management (CDM) Pl an on or before July 1st o f 2014

and every 5th anniversary thereafter Utilities Kingston is reporting on all water and wastewater

facilities that are managed and operated by Utilities Kingston but that are owned b y the City of

Kingston Utilities Kingston is not by definition a ldquoPublic gencyrdquo or a ldquoMunicipal Services

Boardrdquo but has produced this plan in order to maintain consistency with industry wide practice

and in accordance with the goals and vision of both our company and the City of Kingston This

CDM Plan is a living document and will be updated re-evaluated and re-posted o n every 5th

anniversary in order to monitor and evaluate the performance of our water and wastewater

facilities The regulation sets no predefined t emplate for the plan but has stated that it must

include these regulatory requirements

Regulatory Requirements The annual summary of energy consumption and GHG emissions The agencyrsquos goals and objectives for conservation Proposed mea sures (for any facilities but primarily f or pumping) consisting of a

Description of existing or planned efficiency or conservation measures including estimates of o Energy or demand savings o Lifetime o Costs and savings

Description of existing or planned renewable energy generation including estimates of o Electrical generation annually o Lifetime o Costs and savings

Description of existing or planned thermal technologies such as ground water or air source heat pumps or solar thermal air or water technologies including estimates of o Thermal energy harnessed o Lifetime o Costs and savings

Confirmation of approval from senior management

6

Letter from the President and CEO We at Utilities Kingston are very proud to assist our Shareholder The

City of Kingston in its goal of becoming anadarsquos most sustainable city

environmentally economically socially and culturally

With the implementation of regulation 39711 the government of

Ontario has initiated a focus on the environmental impact of public

sector facilities and buildings Utilities Kingston is supportive of this

regulation and works constantly to fulfill the goals of this regulation We

manage The City of Kingstonrsquos water and wastewater systems with a

goal that results in minimal impact on our surrounding environment

Conservation and efficiency plays a significant part in reducing that impact

Efficiency is literally at the core of this company It can be seen not only in our capital

expenditures but in the unique organizational structure of the corporation itself In most

municipalities individual utilities are stand-alone with each utility being managed by separate

organizations with separate finance billing metering warehousing and engineering

departments Utilities Kingston has combined all utilities under one roof water wastewater

gas electrical services and broadband fiber optics services This structure enables our different

divisions to work together and leverage each otherrsquos resources leading to timely and cost-

effective completion of duties This shared services model applies to our systems customer

care billing and accounting as well as equipment human resources and even our fleet (one call

one crew and one bill) In this way we can provide all services in the most economical and

energy efficient manner possible The combined capital and operational savings from this

convergence allows us to invest more into the quality and reliability of our services while

controlling costs for our customers

Our water and wastewater system is one of Kingstonrsquos largest energy consumers Unnecessary

consumption is wasteful of financial and environmental resources and for that reason

conservation and efficiency must be central to our system planning maintenance and

equipment procurement processes

This last year has brought several improvements to the structure of our water and Wastewater

department A Conservation and Demand Management (CDM) team with regular scheduled

meeting has been instituted a structurestrategy for finding and implementing CDM measures

has been established and benchmarking and statistical analysis of energy data have been

employed to better facilitate the efficient operation of our facilities We will continue to

investigate measures to integrate CDM into all that we do in the ongoing operations and capital

7

improvements of the infrastructure the citizens of The City of Kingston has entrusted us to

manage

Very Sincerely

Jim Keech

President and CEO Utilities Kingston

8

Executive Summary This Conservation and demand management plan was produced in response to regulation

39711 under the Green Energy and Green Economy Act As required by the regulation it

includes our facilities consumption data for the reporting year our goals and objectives for

conservation and demand management for the upcoming 5 years a list of proposed measures

and confirmation of approval from our senior management

This Document is structured in 4 main sections laying out our current energy situation our

efforts for developing an energy management structure the most noteworthy measures

implemented in the last 5 years and the measures that are proposed for the next 5 years

Section one is our current energy situation It defines our energy management leadership

structure the strategies for finding and implementing measures and includes the summary of

energy consumption and GHG emissions for the reporting year

Section two is what wersquove done in the last year It covers the steps wersquove taken to establish a

team with regular scheduled meetings and a structure by which to bring measures to

completion It exemplifies our efforts to create a method by which to find and ultimately

implement measures throughout the system These efforts include metering and data storage

improvements analytical reporting facility assessments and incorporating energy efficiency

into the selection and evaluation of capital investments

Section three is what wersquove done in the last 5 years It covers the noteworthy measures

implemented in that time period including the separation of our combined sewers and the

retrofits done to some of our larger facilities This section introduces the link between water

conservation and energy conservation and our water conservation and active leak detection

programs are noted for their significant energy savings

Section four is what wersquore going to do in the next 5 years It covers the measures that are still

being evaluated the planned measures for the next five years and includes an estimate of the

costs energydemand savings and the expected lifetime for each of the measures

9

Utilities Kingstonrsquos Water and Wastewater Conservation and Demand Management Plan

Current Energy Situation o Leadership and structure of current energy management o Existing strategy for finding conservation measures

o Existing strategy for analyzing and implementing conservation measures

o Energy benchmarks

Leadership and Structure of Current Energy management Kingstonrsquos water and wastewater system is an interconnected energy network Changes that

are made are not localized they often affect other parts of the system This is a significant

factor when it comes to facilities that are governed by highly regulated standards Itrsquos not just

the efficiency of the system under consideration we need to consider efficiency as well as

quality quantity and safety ecause of this it doesnrsquot make sense to bring in one person to

find analyze and implement measures for the whole system It was absolutely necessary to

establish a team There needed to be a merger between the knowledge of energy efficiency

and the knowledge of process management The team that was selected is led by the Director

of Water and Wastewater Operations and is comprised of four Supervisors and the Energy

Management Associate which is currently an Energy Systems Engineering Technology graduate

from St Lawrence College This team was established to find and evaluate viability of potential

investments quantify the potential savings for these investments and ensure implementation

of cost effective CDM measures throughout the system This team meets regularly to discuss

the viability of measures and to suggest ideas and possible opportunities to be investigated

Existing Strategy for Finding Conservation Measures Our current strategy for finding potential measures consists of four ongoing steps

1 Metering Improvements

2 Data analytics

10

3 Facility assessments 4 Increasing awareness and Gathering suggestions

Metering Improvements

Metering improvements are made on a consistent basis in order to increase the quality and

quantity of our facility data This will allow us to perform more accurate analyses having better

correlation strengths and ultimately provide us with more confidence in making conclusions

from the data

Data Analytics

For some of our larger facilities wersquove implemented ongoing data analytics to better aide us in

managing each facilityrsquos energy consumption The analyses include breaking down the energy

usage into its key components and looking for excessive consumption or performance

anomalies There is more on our data analytics for the facilities in Appendix A

Facility Assessments

Facility assessments are performed on the facilities that have been red flagged by data analytics

or where a potential measure has been proposed by staff The assessments are used to confirm

the causes of the anomalies or the excessive consumption and ultimately establish the ldquobase

caserdquo for a measure From here there are usually several DM measures that could be

implemented The possible measures are noted for further evaluation

Increasing Awareness and Gathering Suggestions

Increasing awareness and gathering suggestions from operational staff is an excellent way to

establish a solid list of potential measures The general staff are in the facilities day in and day

out and offer a wealth of knowledge and opinion on operational issues design constraints and

process inefficiencies

Existing Strategy for Analyzing and Implementing Measures Once a list of potential measures has been identified they need to be evaluated on their

operational impact and economic benefit This process consists of 6 general steps

1 Financial and Operational Benefits Analysis

2 Presentation of Findings

3 Establishing operational feasibility

4 Incentive pre-approval

5 Implementation

6 Incentive post-approval

11

Financial and Operational Benefits Analysis

A financial analysis is performed on each of the measures to establish their economic viability

The Energy management Associate works in collaboration with the Conservation and Demand

Management department to determine eligibility and EMampV requirements for potential

incentive applications The lifetime energy savings capital and installation costs as well as the

possible upfront incentive contribution are calculated and a payback period is determined

Payback periods of up to 5 years are considered but will be implemented according to order of

importance Economic viability is not the only factor considered there may also be operational

benefits or detriments to quality quantity or safety to weigh in on for example a newer higher

efficiency motor is also safer and more reliable or a cheaper measure with a shorter payback

may put limitations on the system These and similar advantages and disadvantages are noted

in the analysis

Presentation of Findings

The financial and operational benefits analysis is presented in business case format by the

Energy Management Associate to the Director of water and wastewater Operations The risk

payback and benefits are all considered and a decision is made whether to pursue

implementation of the measure

Establishing Operational Feasibility

Once it has been decided to pursue implementation operational feasibility must be

established This is done at the energy management meetings where the cost-effective

measures are discussed with the operational team to consider potential quality quantity or

safety concerns This will quite often lead to further investigation of operational impact

including research and additional site assessments Depending on the complexity andor

economic payback of the measure it may also be reasonable to seek additional advice from a

consultancy or a specialist Measures that are deemed both cost effective and operationally

feasible are agreed upon and move on to the next step

Incentive Pre-Application

Pre-project applications for financial incentives are made at this point Incentives for eligible

measures are calculated based on potential energy or demand savings Once the measure is

approved implementation can begin

Implementation

The cost-effective operationally feasible and incentive pre-approved measures get added to

the capital budget for the water and wastewater utilities At this point the measure will be

implemented based on order of importance factoring in emergency and operationalbudgetary

limitations

12

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

me

Addr

ess

Post

al

Code

Acco

unt

Num

ber

Met

er

Num

ber

2012

Flo

w Vo

lum

es

(meg

alite

rs)

2012

Ene

rgy

Cons

umpt

ion

(kW

h)

2012

Nat

ural

G

as

Cons

umpt

ion

(m3 )

2011

ek

Wh

per

meg

alite

r

2012

ek

Wh

per

meg

alite

r

2012

kg

of

GHG

Note

s

BAR

RET

T C

T SE

WAG

E PU

MPI

NG S

TATI

ON

723

BAR

RET

T C

TK7

L 5H

630

0742

117

J046

533

1354

1062

530

6678

1020

0BA

TH -

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

4054

BAT

H R

DK7

M 4

Y430

0242

741

J298

4685

-18

400

201

-17

7In

suffi

cien

t Flo

w D

ata

BATH

- LO

WER

DR

IVE

SEW

AGE

PUM

PING

STA

TIO

N41

46 L

OW

ER D

RK7

M 7

K130

0564

743

J203

8976

1070

60

2768

68BA

TH R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1298

BAT

H R

D

K7M

4X3

3001

2424

3J0

8580

621

433

409

9213

416

133

81C

ANA

SEW

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TREA

TMEN

T PL

ANT

1756

CAN

A BL

VDK7

L 4V

330

0870

389

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092

2969

510

056

123

8866

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WAT

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1753

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132

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409

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5783

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516

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589

6728

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865

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H130

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9955

1174

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4864

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1205

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2528

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9250

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187

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4930

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NNO

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ATER

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ERVO

IR

590

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Insu

ffici

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nerg

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Insu

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0013

212

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517

530

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621

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8373

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4617

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563

1713

616

131

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KING

ST

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ANT

300

KING

ST

WK7

L 2X

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8371

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RC

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Insu

ffici

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low

Dat

aPA

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270

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6019

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323

3064

276

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170

180

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285

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315

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Insu

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low

Dat

a

1030

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6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Point Pleasant WTP 31

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements 31

List of Acronyms 33

Appendices 34

Appendix A - Produced Analytical Reports for Our Largest Energy Consumers 34

Appendix B - Implemented Demand Reduction Measures 36

Third Avenue Reservoir 36

Dalton Avenue Sewage Pumping Station 37

Appendix C - VFD Analysis for Pump 4 at King St WTP 39

Appendix D - Description of Rates 45

Time of Use 45

Demand 45

3

Our Organization Utilities Kingston an asset management company is an Ontario Business Corporation wholly

owned by the City of Kingston responsible for managing operations and maintaining the utility

assets for the City of Kingston The diagram below shows our corporate structure The blue

lines represent management services and the grey lines ownership of assets

The City of Kingston owns the gas water and sewer assets and is the sole shareholder of

Kingston Hydro who owns the electric assets ll profits from Utilities Kingstonrsquos operations go

back to the ityrsquos Reserve Funds and are invested back into the city primarily in the form of

infrastructure improvements

Utilities Kingston is recognized as an industry leader in delivering innovative energy and water

conservation programs to its customers

In 2013 Utilities Kingston was presented with the Ontario Water Works Association

award for Excellence in Water Efficiency Programming

In 2014 we received the Electricity Distributorsrsquo ssociation ward for onservation

Leadership Excellence

In line with the multi utility model Utilities Kingstonrsquos Water and Wastewater Department has

leveraged the Energy onservation Departmentrsquos experience helping customers conserve

energy and water to help inform the development of this plan Their experience will be further

leveraged to maximize savings and incentives achieved throughout the implementation of this

plan

Utilities Kingston is also a partner and supporter of the Sustainable Kingston initiative helping

to achieve the ity of Kingstonrsquos vision of becoming anadarsquos Most Sustainable ity

4

Vision Statement Utilities Kingstonrsquos Water and Wastewater CDM Vision Statement

Our aim is to significantly reduce the environmental impact of Kingstonrsquos water and

wastewater services by continually improving the efficiency of our treatment collection and

distribution systems through the implementation of cost effective CDM measures into our

existing infrastructure processes planning and operations

Goals and Objectives Improve the efficiency of our facilities reducing both operational expense and

environmental impact

Lay out a structure for finding and implementing measures

Include best practices in all operational decision making and design

Establish benchmarks to mark and monitor improvement

5

Background Information Utilities Kingstonrsquos Water and Wastewater department has produced t his Conservation and

demand management plan in response to regulation 39711 under the Green Energy and Green

Economy Act having come into effect on January 1st of 2012 The regulation requires that all

public agencies as defined b y the regulation submit to the Ministry of Energy a summary of

energy consumption and greenhouse gas (GHG) emissions on or before July 1st annually and

make public a Conservation and Demand Management (CDM) Pl an on or before July 1st o f 2014

and every 5th anniversary thereafter Utilities Kingston is reporting on all water and wastewater

facilities that are managed and operated by Utilities Kingston but that are owned b y the City of

Kingston Utilities Kingston is not by definition a ldquoPublic gencyrdquo or a ldquoMunicipal Services

Boardrdquo but has produced this plan in order to maintain consistency with industry wide practice

and in accordance with the goals and vision of both our company and the City of Kingston This

CDM Plan is a living document and will be updated re-evaluated and re-posted o n every 5th

anniversary in order to monitor and evaluate the performance of our water and wastewater

facilities The regulation sets no predefined t emplate for the plan but has stated that it must

include these regulatory requirements

Regulatory Requirements The annual summary of energy consumption and GHG emissions The agencyrsquos goals and objectives for conservation Proposed mea sures (for any facilities but primarily f or pumping) consisting of a

Description of existing or planned efficiency or conservation measures including estimates of o Energy or demand savings o Lifetime o Costs and savings

Description of existing or planned renewable energy generation including estimates of o Electrical generation annually o Lifetime o Costs and savings

Description of existing or planned thermal technologies such as ground water or air source heat pumps or solar thermal air or water technologies including estimates of o Thermal energy harnessed o Lifetime o Costs and savings

Confirmation of approval from senior management

6

Letter from the President and CEO We at Utilities Kingston are very proud to assist our Shareholder The

City of Kingston in its goal of becoming anadarsquos most sustainable city

environmentally economically socially and culturally

With the implementation of regulation 39711 the government of

Ontario has initiated a focus on the environmental impact of public

sector facilities and buildings Utilities Kingston is supportive of this

regulation and works constantly to fulfill the goals of this regulation We

manage The City of Kingstonrsquos water and wastewater systems with a

goal that results in minimal impact on our surrounding environment

Conservation and efficiency plays a significant part in reducing that impact

Efficiency is literally at the core of this company It can be seen not only in our capital

expenditures but in the unique organizational structure of the corporation itself In most

municipalities individual utilities are stand-alone with each utility being managed by separate

organizations with separate finance billing metering warehousing and engineering

departments Utilities Kingston has combined all utilities under one roof water wastewater

gas electrical services and broadband fiber optics services This structure enables our different

divisions to work together and leverage each otherrsquos resources leading to timely and cost-

effective completion of duties This shared services model applies to our systems customer

care billing and accounting as well as equipment human resources and even our fleet (one call

one crew and one bill) In this way we can provide all services in the most economical and

energy efficient manner possible The combined capital and operational savings from this

convergence allows us to invest more into the quality and reliability of our services while

controlling costs for our customers

Our water and wastewater system is one of Kingstonrsquos largest energy consumers Unnecessary

consumption is wasteful of financial and environmental resources and for that reason

conservation and efficiency must be central to our system planning maintenance and

equipment procurement processes

This last year has brought several improvements to the structure of our water and Wastewater

department A Conservation and Demand Management (CDM) team with regular scheduled

meeting has been instituted a structurestrategy for finding and implementing CDM measures

has been established and benchmarking and statistical analysis of energy data have been

employed to better facilitate the efficient operation of our facilities We will continue to

investigate measures to integrate CDM into all that we do in the ongoing operations and capital

7

improvements of the infrastructure the citizens of The City of Kingston has entrusted us to

manage

Very Sincerely

Jim Keech

President and CEO Utilities Kingston

8

Executive Summary This Conservation and demand management plan was produced in response to regulation

39711 under the Green Energy and Green Economy Act As required by the regulation it

includes our facilities consumption data for the reporting year our goals and objectives for

conservation and demand management for the upcoming 5 years a list of proposed measures

and confirmation of approval from our senior management

This Document is structured in 4 main sections laying out our current energy situation our

efforts for developing an energy management structure the most noteworthy measures

implemented in the last 5 years and the measures that are proposed for the next 5 years

Section one is our current energy situation It defines our energy management leadership

structure the strategies for finding and implementing measures and includes the summary of

energy consumption and GHG emissions for the reporting year

Section two is what wersquove done in the last year It covers the steps wersquove taken to establish a

team with regular scheduled meetings and a structure by which to bring measures to

completion It exemplifies our efforts to create a method by which to find and ultimately

implement measures throughout the system These efforts include metering and data storage

improvements analytical reporting facility assessments and incorporating energy efficiency

into the selection and evaluation of capital investments

Section three is what wersquove done in the last 5 years It covers the noteworthy measures

implemented in that time period including the separation of our combined sewers and the

retrofits done to some of our larger facilities This section introduces the link between water

conservation and energy conservation and our water conservation and active leak detection

programs are noted for their significant energy savings

Section four is what wersquore going to do in the next 5 years It covers the measures that are still

being evaluated the planned measures for the next five years and includes an estimate of the

costs energydemand savings and the expected lifetime for each of the measures

9

Utilities Kingstonrsquos Water and Wastewater Conservation and Demand Management Plan

Current Energy Situation o Leadership and structure of current energy management o Existing strategy for finding conservation measures

o Existing strategy for analyzing and implementing conservation measures

o Energy benchmarks

Leadership and Structure of Current Energy management Kingstonrsquos water and wastewater system is an interconnected energy network Changes that

are made are not localized they often affect other parts of the system This is a significant

factor when it comes to facilities that are governed by highly regulated standards Itrsquos not just

the efficiency of the system under consideration we need to consider efficiency as well as

quality quantity and safety ecause of this it doesnrsquot make sense to bring in one person to

find analyze and implement measures for the whole system It was absolutely necessary to

establish a team There needed to be a merger between the knowledge of energy efficiency

and the knowledge of process management The team that was selected is led by the Director

of Water and Wastewater Operations and is comprised of four Supervisors and the Energy

Management Associate which is currently an Energy Systems Engineering Technology graduate

from St Lawrence College This team was established to find and evaluate viability of potential

investments quantify the potential savings for these investments and ensure implementation

of cost effective CDM measures throughout the system This team meets regularly to discuss

the viability of measures and to suggest ideas and possible opportunities to be investigated

Existing Strategy for Finding Conservation Measures Our current strategy for finding potential measures consists of four ongoing steps

1 Metering Improvements

2 Data analytics

10

3 Facility assessments 4 Increasing awareness and Gathering suggestions

Metering Improvements

Metering improvements are made on a consistent basis in order to increase the quality and

quantity of our facility data This will allow us to perform more accurate analyses having better

correlation strengths and ultimately provide us with more confidence in making conclusions

from the data

Data Analytics

For some of our larger facilities wersquove implemented ongoing data analytics to better aide us in

managing each facilityrsquos energy consumption The analyses include breaking down the energy

usage into its key components and looking for excessive consumption or performance

anomalies There is more on our data analytics for the facilities in Appendix A

Facility Assessments

Facility assessments are performed on the facilities that have been red flagged by data analytics

or where a potential measure has been proposed by staff The assessments are used to confirm

the causes of the anomalies or the excessive consumption and ultimately establish the ldquobase

caserdquo for a measure From here there are usually several DM measures that could be

implemented The possible measures are noted for further evaluation

Increasing Awareness and Gathering Suggestions

Increasing awareness and gathering suggestions from operational staff is an excellent way to

establish a solid list of potential measures The general staff are in the facilities day in and day

out and offer a wealth of knowledge and opinion on operational issues design constraints and

process inefficiencies

Existing Strategy for Analyzing and Implementing Measures Once a list of potential measures has been identified they need to be evaluated on their

operational impact and economic benefit This process consists of 6 general steps

1 Financial and Operational Benefits Analysis

2 Presentation of Findings

3 Establishing operational feasibility

4 Incentive pre-approval

5 Implementation

6 Incentive post-approval

11

Financial and Operational Benefits Analysis

A financial analysis is performed on each of the measures to establish their economic viability

The Energy management Associate works in collaboration with the Conservation and Demand

Management department to determine eligibility and EMampV requirements for potential

incentive applications The lifetime energy savings capital and installation costs as well as the

possible upfront incentive contribution are calculated and a payback period is determined

Payback periods of up to 5 years are considered but will be implemented according to order of

importance Economic viability is not the only factor considered there may also be operational

benefits or detriments to quality quantity or safety to weigh in on for example a newer higher

efficiency motor is also safer and more reliable or a cheaper measure with a shorter payback

may put limitations on the system These and similar advantages and disadvantages are noted

in the analysis

Presentation of Findings

The financial and operational benefits analysis is presented in business case format by the

Energy Management Associate to the Director of water and wastewater Operations The risk

payback and benefits are all considered and a decision is made whether to pursue

implementation of the measure

Establishing Operational Feasibility

Once it has been decided to pursue implementation operational feasibility must be

established This is done at the energy management meetings where the cost-effective

measures are discussed with the operational team to consider potential quality quantity or

safety concerns This will quite often lead to further investigation of operational impact

including research and additional site assessments Depending on the complexity andor

economic payback of the measure it may also be reasonable to seek additional advice from a

consultancy or a specialist Measures that are deemed both cost effective and operationally

feasible are agreed upon and move on to the next step

Incentive Pre-Application

Pre-project applications for financial incentives are made at this point Incentives for eligible

measures are calculated based on potential energy or demand savings Once the measure is

approved implementation can begin

Implementation

The cost-effective operationally feasible and incentive pre-approved measures get added to

the capital budget for the water and wastewater utilities At this point the measure will be

implemented based on order of importance factoring in emergency and operationalbudgetary

limitations

12

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

me

Addr

ess

Post

al

Code

Acco

unt

Num

ber

Met

er

Num

ber

2012

Flo

w Vo

lum

es

(meg

alite

rs)

2012

Ene

rgy

Cons

umpt

ion

(kW

h)

2012

Nat

ural

G

as

Cons

umpt

ion

(m3 )

2011

ek

Wh

per

meg

alite

r

2012

ek

Wh

per

meg

alite

r

2012

kg

of

GHG

Note

s

BAR

RET

T C

T SE

WAG

E PU

MPI

NG S

TATI

ON

723

BAR

RET

T C

TK7

L 5H

630

0742

117

J046

533

1354

1062

530

6678

1020

0BA

TH -

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

4054

BAT

H R

DK7

M 4

Y430

0242

741

J298

4685

-18

400

201

-17

7In

suffi

cien

t Flo

w D

ata

BATH

- LO

WER

DR

IVE

SEW

AGE

PUM

PING

STA

TIO

N41

46 L

OW

ER D

RK7

M 7

K130

0564

743

J203

8976

1070

60

2768

68BA

TH R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1298

BAT

H R

D

K7M

4X3

3001

2424

3J0

8580

621

433

409

9213

416

133

81C

ANA

SEW

AGE

TREA

TMEN

T PL

ANT

1756

CAN

A BL

VDK7

L 4V

330

0870

389

J073

092

2969

510

056

123

8866

73C

ANA

WAT

ER T

RAE

TMEN

T PL

ANT

1753

CAN

A BL

VDK7

L 4V

330

0427

870

J263

6370

1025

132

028

2025

0424

13C

ATAR

AQUI

BAY

SEW

AGE

TREA

TMEN

T PL

ANT

409

FRO

NT R

DK7

M 5

R8

3009

5783

1J1

3050

5492

9236

7300

516

9403

534

589

6728

81C

OLL

INS

BAY

RD

BO

OST

ER S

TATI

ON

865

CO

LLIN

S BA

Y R

DK7

M 5

H130

0139

698

J298

9955

1174

860

4864

656

719

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1205

CO

LLIN

S BA

Y R

DK7

P 2X

630

0234

460

J298

4634

2528

560

211

227

4C

OVE

RD

ALE

DR

SEW

AGE

PUM

PING

STA

TIO

N10

66 C

OVE

RD

ALE

K7M

8X7

3009

2590

1J2

9847

2065

017

459

026

2716

76C

RER

AR B

LVD

SEW

AGE

PUM

PING

STA

TIO

N46

CR

ERAR

K7M

7C

630

0849

074

J298

9250

541

6015

819

177

115

6137

DAY

S R

D S

EWAG

E PU

MPI

NG S

TATI

ON

419

DAY

S R

D

K7M

3R

530

1022

951

J029

146

7173

4978

800

7469

4779

6HI

LLVI

EW R

D S

EWAG

E PU

MPI

NG S

TATI

ON

740

HILL

VIEW

RD

K7M

5C

730

0319

322

J318

9324

682

1433

000

160

210

1375

7HW

Y 15

SEW

AGE

PUM

PING

STA

TIO

N28

9 HW

Y 15

K7L

5H6

3007

5071

7J2

9803

3777

2295

10

179

297

2203

KENW

OO

DS

CIR

CLE

SEW

AGE

PUM

PING

STA

TIO

N84

KEN

WO

OD

S C

IRK7

K 6Y

230

0932

452

J298

9643

192

8941

046

4685

8LA

KESH

OR

E BL

VD S

EWAG

E PU

MPI

NG S

TATI

ON

187

LAKE

SHO

RE

BLVD

K7M

6Z6

3011

9415

4J2

9892

4930

836

930

011

512

035

45O

CO

NNO

R D

R W

ATER

RES

ERVO

IR

590

OC

ONN

OR

DR

K7

P 1N

3-

-36

34-

4684

12-

8856

Insu

ffici

ent E

nerg

y D

ata

OLD

CO

LONY

RD

BO

OST

ER S

TATI

ON

901

OLD

CO

LONY

RD

K7

P 1S

130

0330

058

J298

9990

-25

025

0-

-24

02In

suffi

cien

t Flo

w D

ata

POIN

T PL

EASA

NT W

ATER

TR

AETM

ENT

PLAN

T80

SUN

NY A

CR

ES R

DK7

M 3

N230

0656

583

J072

041

7870

2987

050

039

338

028

6757

PRO

GR

ESS

AVE

WAT

ER R

ESER

VOIR

73

0 PR

OG

RES

S AV

EK7

M 4

W9

2990

3100

2J3

2436

0661

1294

500

2597

2127

1242

7PU

RD

Y C

T BO

OST

ER S

TATI

ON

896

PUR

DY

CT

K7M

3M

930

1134

575

J298

9644

-52

163

043

3-

5008

Insu

ffici

ent F

low

Dat

aR

ANKI

N ST

SEW

AGE

PUM

PING

STA

TIO

N60

2 R

ANKI

N ST

K7

M 7

L430

1269

720

J203

9867

3585

140

231

241

817

RAV

ENSV

IEW

SEW

AGE

TREA

TMEN

T PL

ANT

947

HWY

2 E

AST

K7L

4V1

3003

0522

7J0

9930

120

833

3973

468

1706

9037

227

870

4160

SCHO

ONE

R D

R S

EWAG

E PU

MPI

NG S

TATI

ON

22 S

CHO

ONE

R D

RK7

K 7J

830

0337

083

J298

9650

387

3367

08

932

3W

ESTB

RO

OK

RD

SEW

AGE

PUM

PING

STA

TIO

N11

43 W

ESTB

RO

OK

RD

K7P

2V7

3005

2778

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9846

3359

1059

00

152

181

1017

DAL

TON

AVE

SEW

AGE

PUM

PING

STA

TIO

N26

6 D

ALTO

N AV

EK7

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311

0795

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8432

1351

2968

32

3126

142

170

5515

5G

REE

NVIE

W D

R S

EWAG

E PU

MPI

NG S

TATI

ON

38 G

REE

NVIE

W D

RK7

M 7

T511

4356

E864

0013

212

754

5323

60

1197

1224

HATT

ER S

T SE

WAG

E PU

MPI

NG S

TATI

ON

91 H

ATTE

R S

TK7

M 2

L620

4468

E661

032

315

4134

089

020

517

530

JAM

ES S

T BO

OST

ER S

TATI

ON

229

JAM

ES S

TK7

K 1Z

516

7927

2783

302

90

310

162

2618

7JA

MES

ST

SEW

AGE

PUM

PING

STA

TIO

N21

3 JA

MES

ST

K7K

1Z5

536

1995

805

254

022

737

319

160

KING

- C

OLL

ING

WO

OD

CSO

270

KING

ST

K7L

3A9

2042

02E8

5352

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2754

574

925

012

993

2644

KING

- EL

EVAT

OR

BAY

SEW

AGE

PUM

PING

STA

TIO

N11

00 K

ING

ST

WK7

M 8

J219

2066

E865

5611

1572

382

581

017

0914

3615

09KI

NG -

POR

TSM

OUT

H SE

WAG

E PU

MPI

NG S

TATI

ON

621

KING

ST

WK7

M 2

E711

8373

E527

4617

0220

7015

084

563

1713

616

131

816

KING

ST

WAT

ER T

RAE

TMEN

T PL

ANT

300

KING

ST

WK7

L 2X

111

8371

E493

9017

479

5729

033

013

4879

935

535

764

2246

KING

ST

SEW

AGE

PUM

PING

STA

TIO

N AN

D C

SO62

KIN

G S

T W

K7L

0A6

1183

25E8

7971

7296

3453

438

169

1860

611

474

6832

9M

OR

TON

ST S

EWAG

E PU

MPI

NG S

TATI

ON

1 M

OR

TON

STK7

L 2X

412

2446

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1614

1228

053

142

069

188

011

79NO

TCH

HILL

RD

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AGE

PUM

PING

STA

TIO

N60

NO

TCH

HILL

RD

K7M

2W

916

7937

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140

721

1072

581

081

612

027

OR

CHA

RD

- EM

MA

MAR

TIN

CSO

7 O

RC

HAR

D S

TK7

K 2Z

420

4183

E854

24-

1630

529

30

--

1565

Insu

ffici

ent F

low

Dat

aPA

LAC

E R

D S

EWAG

E PU

MPI

NG S

TATI

ON

270

PALA

CE

RD

K7L

4T2

2038

66E8

6019

358

1151

904

837

016

3211

06R

IVER

ST

SEW

AGE

PUM

PING

STA

TIO

N12

RIV

ER S

TK7

K 2A

120

7678

E523

9117

323

3064

276

225

5192

170

180

3039

86TH

IRD

AVE

NUE

WAT

ER R

ESER

VOIR

14

1 TH

IRD

AVE

K7K

2J8

1340

41E5

5648

1276

2005

032

285

013

315

719

248

YONG

E ST

SEW

AGE

PUM

PING

STA

TIO

N20

YO

NGE

STK7

M 1

E313

8843

E661

01-

477

3640

816

025

-46

Insu

ffici

ent F

low

Dat

a

1030

06E8

6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Our Organization Utilities Kingston an asset management company is an Ontario Business Corporation wholly

owned by the City of Kingston responsible for managing operations and maintaining the utility

assets for the City of Kingston The diagram below shows our corporate structure The blue

lines represent management services and the grey lines ownership of assets

The City of Kingston owns the gas water and sewer assets and is the sole shareholder of

Kingston Hydro who owns the electric assets ll profits from Utilities Kingstonrsquos operations go

back to the ityrsquos Reserve Funds and are invested back into the city primarily in the form of

infrastructure improvements

Utilities Kingston is recognized as an industry leader in delivering innovative energy and water

conservation programs to its customers

In 2013 Utilities Kingston was presented with the Ontario Water Works Association

award for Excellence in Water Efficiency Programming

In 2014 we received the Electricity Distributorsrsquo ssociation ward for onservation

Leadership Excellence

In line with the multi utility model Utilities Kingstonrsquos Water and Wastewater Department has

leveraged the Energy onservation Departmentrsquos experience helping customers conserve

energy and water to help inform the development of this plan Their experience will be further

leveraged to maximize savings and incentives achieved throughout the implementation of this

plan

Utilities Kingston is also a partner and supporter of the Sustainable Kingston initiative helping

to achieve the ity of Kingstonrsquos vision of becoming anadarsquos Most Sustainable ity

4

Vision Statement Utilities Kingstonrsquos Water and Wastewater CDM Vision Statement

Our aim is to significantly reduce the environmental impact of Kingstonrsquos water and

wastewater services by continually improving the efficiency of our treatment collection and

distribution systems through the implementation of cost effective CDM measures into our

existing infrastructure processes planning and operations

Goals and Objectives Improve the efficiency of our facilities reducing both operational expense and

environmental impact

Lay out a structure for finding and implementing measures

Include best practices in all operational decision making and design

Establish benchmarks to mark and monitor improvement

5

Background Information Utilities Kingstonrsquos Water and Wastewater department has produced t his Conservation and

demand management plan in response to regulation 39711 under the Green Energy and Green

Economy Act having come into effect on January 1st of 2012 The regulation requires that all

public agencies as defined b y the regulation submit to the Ministry of Energy a summary of

energy consumption and greenhouse gas (GHG) emissions on or before July 1st annually and

make public a Conservation and Demand Management (CDM) Pl an on or before July 1st o f 2014

and every 5th anniversary thereafter Utilities Kingston is reporting on all water and wastewater

facilities that are managed and operated by Utilities Kingston but that are owned b y the City of

Kingston Utilities Kingston is not by definition a ldquoPublic gencyrdquo or a ldquoMunicipal Services

Boardrdquo but has produced this plan in order to maintain consistency with industry wide practice

and in accordance with the goals and vision of both our company and the City of Kingston This

CDM Plan is a living document and will be updated re-evaluated and re-posted o n every 5th

anniversary in order to monitor and evaluate the performance of our water and wastewater

facilities The regulation sets no predefined t emplate for the plan but has stated that it must

include these regulatory requirements

Regulatory Requirements The annual summary of energy consumption and GHG emissions The agencyrsquos goals and objectives for conservation Proposed mea sures (for any facilities but primarily f or pumping) consisting of a

Description of existing or planned efficiency or conservation measures including estimates of o Energy or demand savings o Lifetime o Costs and savings

Description of existing or planned renewable energy generation including estimates of o Electrical generation annually o Lifetime o Costs and savings

Description of existing or planned thermal technologies such as ground water or air source heat pumps or solar thermal air or water technologies including estimates of o Thermal energy harnessed o Lifetime o Costs and savings

Confirmation of approval from senior management

6

Letter from the President and CEO We at Utilities Kingston are very proud to assist our Shareholder The

City of Kingston in its goal of becoming anadarsquos most sustainable city

environmentally economically socially and culturally

With the implementation of regulation 39711 the government of

Ontario has initiated a focus on the environmental impact of public

sector facilities and buildings Utilities Kingston is supportive of this

regulation and works constantly to fulfill the goals of this regulation We

manage The City of Kingstonrsquos water and wastewater systems with a

goal that results in minimal impact on our surrounding environment

Conservation and efficiency plays a significant part in reducing that impact

Efficiency is literally at the core of this company It can be seen not only in our capital

expenditures but in the unique organizational structure of the corporation itself In most

municipalities individual utilities are stand-alone with each utility being managed by separate

organizations with separate finance billing metering warehousing and engineering

departments Utilities Kingston has combined all utilities under one roof water wastewater

gas electrical services and broadband fiber optics services This structure enables our different

divisions to work together and leverage each otherrsquos resources leading to timely and cost-

effective completion of duties This shared services model applies to our systems customer

care billing and accounting as well as equipment human resources and even our fleet (one call

one crew and one bill) In this way we can provide all services in the most economical and

energy efficient manner possible The combined capital and operational savings from this

convergence allows us to invest more into the quality and reliability of our services while

controlling costs for our customers

Our water and wastewater system is one of Kingstonrsquos largest energy consumers Unnecessary

consumption is wasteful of financial and environmental resources and for that reason

conservation and efficiency must be central to our system planning maintenance and

equipment procurement processes

This last year has brought several improvements to the structure of our water and Wastewater

department A Conservation and Demand Management (CDM) team with regular scheduled

meeting has been instituted a structurestrategy for finding and implementing CDM measures

has been established and benchmarking and statistical analysis of energy data have been

employed to better facilitate the efficient operation of our facilities We will continue to

investigate measures to integrate CDM into all that we do in the ongoing operations and capital

7

improvements of the infrastructure the citizens of The City of Kingston has entrusted us to

manage

Very Sincerely

Jim Keech

President and CEO Utilities Kingston

8

Executive Summary This Conservation and demand management plan was produced in response to regulation

39711 under the Green Energy and Green Economy Act As required by the regulation it

includes our facilities consumption data for the reporting year our goals and objectives for

conservation and demand management for the upcoming 5 years a list of proposed measures

and confirmation of approval from our senior management

This Document is structured in 4 main sections laying out our current energy situation our

efforts for developing an energy management structure the most noteworthy measures

implemented in the last 5 years and the measures that are proposed for the next 5 years

Section one is our current energy situation It defines our energy management leadership

structure the strategies for finding and implementing measures and includes the summary of

energy consumption and GHG emissions for the reporting year

Section two is what wersquove done in the last year It covers the steps wersquove taken to establish a

team with regular scheduled meetings and a structure by which to bring measures to

completion It exemplifies our efforts to create a method by which to find and ultimately

implement measures throughout the system These efforts include metering and data storage

improvements analytical reporting facility assessments and incorporating energy efficiency

into the selection and evaluation of capital investments

Section three is what wersquove done in the last 5 years It covers the noteworthy measures

implemented in that time period including the separation of our combined sewers and the

retrofits done to some of our larger facilities This section introduces the link between water

conservation and energy conservation and our water conservation and active leak detection

programs are noted for their significant energy savings

Section four is what wersquore going to do in the next 5 years It covers the measures that are still

being evaluated the planned measures for the next five years and includes an estimate of the

costs energydemand savings and the expected lifetime for each of the measures

9

Utilities Kingstonrsquos Water and Wastewater Conservation and Demand Management Plan

Current Energy Situation o Leadership and structure of current energy management o Existing strategy for finding conservation measures

o Existing strategy for analyzing and implementing conservation measures

o Energy benchmarks

Leadership and Structure of Current Energy management Kingstonrsquos water and wastewater system is an interconnected energy network Changes that

are made are not localized they often affect other parts of the system This is a significant

factor when it comes to facilities that are governed by highly regulated standards Itrsquos not just

the efficiency of the system under consideration we need to consider efficiency as well as

quality quantity and safety ecause of this it doesnrsquot make sense to bring in one person to

find analyze and implement measures for the whole system It was absolutely necessary to

establish a team There needed to be a merger between the knowledge of energy efficiency

and the knowledge of process management The team that was selected is led by the Director

of Water and Wastewater Operations and is comprised of four Supervisors and the Energy

Management Associate which is currently an Energy Systems Engineering Technology graduate

from St Lawrence College This team was established to find and evaluate viability of potential

investments quantify the potential savings for these investments and ensure implementation

of cost effective CDM measures throughout the system This team meets regularly to discuss

the viability of measures and to suggest ideas and possible opportunities to be investigated

Existing Strategy for Finding Conservation Measures Our current strategy for finding potential measures consists of four ongoing steps

1 Metering Improvements

2 Data analytics

10

3 Facility assessments 4 Increasing awareness and Gathering suggestions

Metering Improvements

Metering improvements are made on a consistent basis in order to increase the quality and

quantity of our facility data This will allow us to perform more accurate analyses having better

correlation strengths and ultimately provide us with more confidence in making conclusions

from the data

Data Analytics

For some of our larger facilities wersquove implemented ongoing data analytics to better aide us in

managing each facilityrsquos energy consumption The analyses include breaking down the energy

usage into its key components and looking for excessive consumption or performance

anomalies There is more on our data analytics for the facilities in Appendix A

Facility Assessments

Facility assessments are performed on the facilities that have been red flagged by data analytics

or where a potential measure has been proposed by staff The assessments are used to confirm

the causes of the anomalies or the excessive consumption and ultimately establish the ldquobase

caserdquo for a measure From here there are usually several DM measures that could be

implemented The possible measures are noted for further evaluation

Increasing Awareness and Gathering Suggestions

Increasing awareness and gathering suggestions from operational staff is an excellent way to

establish a solid list of potential measures The general staff are in the facilities day in and day

out and offer a wealth of knowledge and opinion on operational issues design constraints and

process inefficiencies

Existing Strategy for Analyzing and Implementing Measures Once a list of potential measures has been identified they need to be evaluated on their

operational impact and economic benefit This process consists of 6 general steps

1 Financial and Operational Benefits Analysis

2 Presentation of Findings

3 Establishing operational feasibility

4 Incentive pre-approval

5 Implementation

6 Incentive post-approval

11

Financial and Operational Benefits Analysis

A financial analysis is performed on each of the measures to establish their economic viability

The Energy management Associate works in collaboration with the Conservation and Demand

Management department to determine eligibility and EMampV requirements for potential

incentive applications The lifetime energy savings capital and installation costs as well as the

possible upfront incentive contribution are calculated and a payback period is determined

Payback periods of up to 5 years are considered but will be implemented according to order of

importance Economic viability is not the only factor considered there may also be operational

benefits or detriments to quality quantity or safety to weigh in on for example a newer higher

efficiency motor is also safer and more reliable or a cheaper measure with a shorter payback

may put limitations on the system These and similar advantages and disadvantages are noted

in the analysis

Presentation of Findings

The financial and operational benefits analysis is presented in business case format by the

Energy Management Associate to the Director of water and wastewater Operations The risk

payback and benefits are all considered and a decision is made whether to pursue

implementation of the measure

Establishing Operational Feasibility

Once it has been decided to pursue implementation operational feasibility must be

established This is done at the energy management meetings where the cost-effective

measures are discussed with the operational team to consider potential quality quantity or

safety concerns This will quite often lead to further investigation of operational impact

including research and additional site assessments Depending on the complexity andor

economic payback of the measure it may also be reasonable to seek additional advice from a

consultancy or a specialist Measures that are deemed both cost effective and operationally

feasible are agreed upon and move on to the next step

Incentive Pre-Application

Pre-project applications for financial incentives are made at this point Incentives for eligible

measures are calculated based on potential energy or demand savings Once the measure is

approved implementation can begin

Implementation

The cost-effective operationally feasible and incentive pre-approved measures get added to

the capital budget for the water and wastewater utilities At this point the measure will be

implemented based on order of importance factoring in emergency and operationalbudgetary

limitations

12

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

me

Addr

ess

Post

al

Code

Acco

unt

Num

ber

Met

er

Num

ber

2012

Flo

w Vo

lum

es

(meg

alite

rs)

2012

Ene

rgy

Cons

umpt

ion

(kW

h)

2012

Nat

ural

G

as

Cons

umpt

ion

(m3 )

2011

ek

Wh

per

meg

alite

r

2012

ek

Wh

per

meg

alite

r

2012

kg

of

GHG

Note

s

BAR

RET

T C

T SE

WAG

E PU

MPI

NG S

TATI

ON

723

BAR

RET

T C

TK7

L 5H

630

0742

117

J046

533

1354

1062

530

6678

1020

0BA

TH -

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

4054

BAT

H R

DK7

M 4

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0242

741

J298

4685

-18

400

201

-17

7In

suffi

cien

t Flo

w D

ata

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- LO

WER

DR

IVE

SEW

AGE

PUM

PING

STA

TIO

N41

46 L

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RK7

M 7

K130

0564

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J203

8976

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60

2768

68BA

TH R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1298

BAT

H R

D

K7M

4X3

3001

2424

3J0

8580

621

433

409

9213

416

133

81C

ANA

SEW

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TREA

TMEN

T PL

ANT

1756

CAN

A BL

VDK7

L 4V

330

0870

389

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092

2969

510

056

123

8866

73C

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ER T

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1753

CAN

A BL

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330

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6370

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132

028

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589

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TATI

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9955

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1205

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KESH

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187

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K7M

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3011

9415

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9892

4930

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930

011

512

035

45O

CO

NNO

R D

R W

ATER

RES

ERVO

IR

590

OC

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OR

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K7

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Insu

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nerg

y D

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9990

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w D

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ATER

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CR

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DK7

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PRO

GR

ESS

AVE

WAT

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73

0 PR

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3100

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1294

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2597

2127

1242

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RD

Y C

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896

PUR

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CT

K7M

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930

1134

575

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-52

163

043

3-

5008

Insu

ffici

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low

Dat

aR

ANKI

N ST

SEW

AGE

PUM

PING

STA

TIO

N60

2 R

ANKI

N ST

K7

M 7

L430

1269

720

J203

9867

3585

140

231

241

817

RAV

ENSV

IEW

SEW

AGE

TREA

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947

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AST

K7L

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3973

468

1706

9037

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4160

SCHO

ONE

R D

R S

EWAG

E PU

MPI

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TATI

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22 S

CHO

ONE

R D

RK7

K 7J

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J298

9650

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3367

08

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OK

RD

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0013

212

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24-

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--

1565

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ent F

low

Dat

aPA

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D S

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E PU

MPI

NG S

TATI

ON

270

PALA

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RD

K7L

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2038

66E8

6019

358

1151

904

837

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3211

06R

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ST

SEW

AGE

PUM

PING

STA

TIO

N12

RIV

ER S

TK7

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120

7678

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9117

323

3064

276

225

5192

170

180

3039

86TH

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AVE

NUE

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ER R

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VOIR

14

1 TH

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AVE

K7K

2J8

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1276

2005

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01-

477

3640

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025

-46

Insu

ffici

ent F

low

Dat

a

1030

06E8

6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Vision Statement Utilities Kingstonrsquos Water and Wastewater CDM Vision Statement

Our aim is to significantly reduce the environmental impact of Kingstonrsquos water and

wastewater services by continually improving the efficiency of our treatment collection and

distribution systems through the implementation of cost effective CDM measures into our

existing infrastructure processes planning and operations

Goals and Objectives Improve the efficiency of our facilities reducing both operational expense and

environmental impact

Lay out a structure for finding and implementing measures

Include best practices in all operational decision making and design

Establish benchmarks to mark and monitor improvement

5

Background Information Utilities Kingstonrsquos Water and Wastewater department has produced t his Conservation and

demand management plan in response to regulation 39711 under the Green Energy and Green

Economy Act having come into effect on January 1st of 2012 The regulation requires that all

public agencies as defined b y the regulation submit to the Ministry of Energy a summary of

energy consumption and greenhouse gas (GHG) emissions on or before July 1st annually and

make public a Conservation and Demand Management (CDM) Pl an on or before July 1st o f 2014

and every 5th anniversary thereafter Utilities Kingston is reporting on all water and wastewater

facilities that are managed and operated by Utilities Kingston but that are owned b y the City of

Kingston Utilities Kingston is not by definition a ldquoPublic gencyrdquo or a ldquoMunicipal Services

Boardrdquo but has produced this plan in order to maintain consistency with industry wide practice

and in accordance with the goals and vision of both our company and the City of Kingston This

CDM Plan is a living document and will be updated re-evaluated and re-posted o n every 5th

anniversary in order to monitor and evaluate the performance of our water and wastewater

facilities The regulation sets no predefined t emplate for the plan but has stated that it must

include these regulatory requirements

Regulatory Requirements The annual summary of energy consumption and GHG emissions The agencyrsquos goals and objectives for conservation Proposed mea sures (for any facilities but primarily f or pumping) consisting of a

Description of existing or planned efficiency or conservation measures including estimates of o Energy or demand savings o Lifetime o Costs and savings

Description of existing or planned renewable energy generation including estimates of o Electrical generation annually o Lifetime o Costs and savings

Description of existing or planned thermal technologies such as ground water or air source heat pumps or solar thermal air or water technologies including estimates of o Thermal energy harnessed o Lifetime o Costs and savings

Confirmation of approval from senior management

6

Letter from the President and CEO We at Utilities Kingston are very proud to assist our Shareholder The

City of Kingston in its goal of becoming anadarsquos most sustainable city

environmentally economically socially and culturally

With the implementation of regulation 39711 the government of

Ontario has initiated a focus on the environmental impact of public

sector facilities and buildings Utilities Kingston is supportive of this

regulation and works constantly to fulfill the goals of this regulation We

manage The City of Kingstonrsquos water and wastewater systems with a

goal that results in minimal impact on our surrounding environment

Conservation and efficiency plays a significant part in reducing that impact

Efficiency is literally at the core of this company It can be seen not only in our capital

expenditures but in the unique organizational structure of the corporation itself In most

municipalities individual utilities are stand-alone with each utility being managed by separate

organizations with separate finance billing metering warehousing and engineering

departments Utilities Kingston has combined all utilities under one roof water wastewater

gas electrical services and broadband fiber optics services This structure enables our different

divisions to work together and leverage each otherrsquos resources leading to timely and cost-

effective completion of duties This shared services model applies to our systems customer

care billing and accounting as well as equipment human resources and even our fleet (one call

one crew and one bill) In this way we can provide all services in the most economical and

energy efficient manner possible The combined capital and operational savings from this

convergence allows us to invest more into the quality and reliability of our services while

controlling costs for our customers

Our water and wastewater system is one of Kingstonrsquos largest energy consumers Unnecessary

consumption is wasteful of financial and environmental resources and for that reason

conservation and efficiency must be central to our system planning maintenance and

equipment procurement processes

This last year has brought several improvements to the structure of our water and Wastewater

department A Conservation and Demand Management (CDM) team with regular scheduled

meeting has been instituted a structurestrategy for finding and implementing CDM measures

has been established and benchmarking and statistical analysis of energy data have been

employed to better facilitate the efficient operation of our facilities We will continue to

investigate measures to integrate CDM into all that we do in the ongoing operations and capital

7

improvements of the infrastructure the citizens of The City of Kingston has entrusted us to

manage

Very Sincerely

Jim Keech

President and CEO Utilities Kingston

8

Executive Summary This Conservation and demand management plan was produced in response to regulation

39711 under the Green Energy and Green Economy Act As required by the regulation it

includes our facilities consumption data for the reporting year our goals and objectives for

conservation and demand management for the upcoming 5 years a list of proposed measures

and confirmation of approval from our senior management

This Document is structured in 4 main sections laying out our current energy situation our

efforts for developing an energy management structure the most noteworthy measures

implemented in the last 5 years and the measures that are proposed for the next 5 years

Section one is our current energy situation It defines our energy management leadership

structure the strategies for finding and implementing measures and includes the summary of

energy consumption and GHG emissions for the reporting year

Section two is what wersquove done in the last year It covers the steps wersquove taken to establish a

team with regular scheduled meetings and a structure by which to bring measures to

completion It exemplifies our efforts to create a method by which to find and ultimately

implement measures throughout the system These efforts include metering and data storage

improvements analytical reporting facility assessments and incorporating energy efficiency

into the selection and evaluation of capital investments

Section three is what wersquove done in the last 5 years It covers the noteworthy measures

implemented in that time period including the separation of our combined sewers and the

retrofits done to some of our larger facilities This section introduces the link between water

conservation and energy conservation and our water conservation and active leak detection

programs are noted for their significant energy savings

Section four is what wersquore going to do in the next 5 years It covers the measures that are still

being evaluated the planned measures for the next five years and includes an estimate of the

costs energydemand savings and the expected lifetime for each of the measures

9

Utilities Kingstonrsquos Water and Wastewater Conservation and Demand Management Plan

Current Energy Situation o Leadership and structure of current energy management o Existing strategy for finding conservation measures

o Existing strategy for analyzing and implementing conservation measures

o Energy benchmarks

Leadership and Structure of Current Energy management Kingstonrsquos water and wastewater system is an interconnected energy network Changes that

are made are not localized they often affect other parts of the system This is a significant

factor when it comes to facilities that are governed by highly regulated standards Itrsquos not just

the efficiency of the system under consideration we need to consider efficiency as well as

quality quantity and safety ecause of this it doesnrsquot make sense to bring in one person to

find analyze and implement measures for the whole system It was absolutely necessary to

establish a team There needed to be a merger between the knowledge of energy efficiency

and the knowledge of process management The team that was selected is led by the Director

of Water and Wastewater Operations and is comprised of four Supervisors and the Energy

Management Associate which is currently an Energy Systems Engineering Technology graduate

from St Lawrence College This team was established to find and evaluate viability of potential

investments quantify the potential savings for these investments and ensure implementation

of cost effective CDM measures throughout the system This team meets regularly to discuss

the viability of measures and to suggest ideas and possible opportunities to be investigated

Existing Strategy for Finding Conservation Measures Our current strategy for finding potential measures consists of four ongoing steps

1 Metering Improvements

2 Data analytics

10

3 Facility assessments 4 Increasing awareness and Gathering suggestions

Metering Improvements

Metering improvements are made on a consistent basis in order to increase the quality and

quantity of our facility data This will allow us to perform more accurate analyses having better

correlation strengths and ultimately provide us with more confidence in making conclusions

from the data

Data Analytics

For some of our larger facilities wersquove implemented ongoing data analytics to better aide us in

managing each facilityrsquos energy consumption The analyses include breaking down the energy

usage into its key components and looking for excessive consumption or performance

anomalies There is more on our data analytics for the facilities in Appendix A

Facility Assessments

Facility assessments are performed on the facilities that have been red flagged by data analytics

or where a potential measure has been proposed by staff The assessments are used to confirm

the causes of the anomalies or the excessive consumption and ultimately establish the ldquobase

caserdquo for a measure From here there are usually several DM measures that could be

implemented The possible measures are noted for further evaluation

Increasing Awareness and Gathering Suggestions

Increasing awareness and gathering suggestions from operational staff is an excellent way to

establish a solid list of potential measures The general staff are in the facilities day in and day

out and offer a wealth of knowledge and opinion on operational issues design constraints and

process inefficiencies

Existing Strategy for Analyzing and Implementing Measures Once a list of potential measures has been identified they need to be evaluated on their

operational impact and economic benefit This process consists of 6 general steps

1 Financial and Operational Benefits Analysis

2 Presentation of Findings

3 Establishing operational feasibility

4 Incentive pre-approval

5 Implementation

6 Incentive post-approval

11

Financial and Operational Benefits Analysis

A financial analysis is performed on each of the measures to establish their economic viability

The Energy management Associate works in collaboration with the Conservation and Demand

Management department to determine eligibility and EMampV requirements for potential

incentive applications The lifetime energy savings capital and installation costs as well as the

possible upfront incentive contribution are calculated and a payback period is determined

Payback periods of up to 5 years are considered but will be implemented according to order of

importance Economic viability is not the only factor considered there may also be operational

benefits or detriments to quality quantity or safety to weigh in on for example a newer higher

efficiency motor is also safer and more reliable or a cheaper measure with a shorter payback

may put limitations on the system These and similar advantages and disadvantages are noted

in the analysis

Presentation of Findings

The financial and operational benefits analysis is presented in business case format by the

Energy Management Associate to the Director of water and wastewater Operations The risk

payback and benefits are all considered and a decision is made whether to pursue

implementation of the measure

Establishing Operational Feasibility

Once it has been decided to pursue implementation operational feasibility must be

established This is done at the energy management meetings where the cost-effective

measures are discussed with the operational team to consider potential quality quantity or

safety concerns This will quite often lead to further investigation of operational impact

including research and additional site assessments Depending on the complexity andor

economic payback of the measure it may also be reasonable to seek additional advice from a

consultancy or a specialist Measures that are deemed both cost effective and operationally

feasible are agreed upon and move on to the next step

Incentive Pre-Application

Pre-project applications for financial incentives are made at this point Incentives for eligible

measures are calculated based on potential energy or demand savings Once the measure is

approved implementation can begin

Implementation

The cost-effective operationally feasible and incentive pre-approved measures get added to

the capital budget for the water and wastewater utilities At this point the measure will be

implemented based on order of importance factoring in emergency and operationalbudgetary

limitations

12

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

me

Addr

ess

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al

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ber

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er

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ber

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w Vo

lum

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alite

rs)

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kg

of

GHG

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y D

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ESS

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IEW

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TREA

TMEN

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947

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ONE

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ent F

low

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PING

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ER S

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180

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NGE

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477

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025

-46

Insu

ffici

ent F

low

Dat

a

1030

06E8

6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Background Information Utilities Kingstonrsquos Water and Wastewater department has produced t his Conservation and

demand management plan in response to regulation 39711 under the Green Energy and Green

Economy Act having come into effect on January 1st of 2012 The regulation requires that all

public agencies as defined b y the regulation submit to the Ministry of Energy a summary of

energy consumption and greenhouse gas (GHG) emissions on or before July 1st annually and

make public a Conservation and Demand Management (CDM) Pl an on or before July 1st o f 2014

and every 5th anniversary thereafter Utilities Kingston is reporting on all water and wastewater

facilities that are managed and operated by Utilities Kingston but that are owned b y the City of

Kingston Utilities Kingston is not by definition a ldquoPublic gencyrdquo or a ldquoMunicipal Services

Boardrdquo but has produced this plan in order to maintain consistency with industry wide practice

and in accordance with the goals and vision of both our company and the City of Kingston This

CDM Plan is a living document and will be updated re-evaluated and re-posted o n every 5th

anniversary in order to monitor and evaluate the performance of our water and wastewater

facilities The regulation sets no predefined t emplate for the plan but has stated that it must

include these regulatory requirements

Regulatory Requirements The annual summary of energy consumption and GHG emissions The agencyrsquos goals and objectives for conservation Proposed mea sures (for any facilities but primarily f or pumping) consisting of a

Description of existing or planned efficiency or conservation measures including estimates of o Energy or demand savings o Lifetime o Costs and savings

Description of existing or planned renewable energy generation including estimates of o Electrical generation annually o Lifetime o Costs and savings

Description of existing or planned thermal technologies such as ground water or air source heat pumps or solar thermal air or water technologies including estimates of o Thermal energy harnessed o Lifetime o Costs and savings

Confirmation of approval from senior management

6

Letter from the President and CEO We at Utilities Kingston are very proud to assist our Shareholder The

City of Kingston in its goal of becoming anadarsquos most sustainable city

environmentally economically socially and culturally

With the implementation of regulation 39711 the government of

Ontario has initiated a focus on the environmental impact of public

sector facilities and buildings Utilities Kingston is supportive of this

regulation and works constantly to fulfill the goals of this regulation We

manage The City of Kingstonrsquos water and wastewater systems with a

goal that results in minimal impact on our surrounding environment

Conservation and efficiency plays a significant part in reducing that impact

Efficiency is literally at the core of this company It can be seen not only in our capital

expenditures but in the unique organizational structure of the corporation itself In most

municipalities individual utilities are stand-alone with each utility being managed by separate

organizations with separate finance billing metering warehousing and engineering

departments Utilities Kingston has combined all utilities under one roof water wastewater

gas electrical services and broadband fiber optics services This structure enables our different

divisions to work together and leverage each otherrsquos resources leading to timely and cost-

effective completion of duties This shared services model applies to our systems customer

care billing and accounting as well as equipment human resources and even our fleet (one call

one crew and one bill) In this way we can provide all services in the most economical and

energy efficient manner possible The combined capital and operational savings from this

convergence allows us to invest more into the quality and reliability of our services while

controlling costs for our customers

Our water and wastewater system is one of Kingstonrsquos largest energy consumers Unnecessary

consumption is wasteful of financial and environmental resources and for that reason

conservation and efficiency must be central to our system planning maintenance and

equipment procurement processes

This last year has brought several improvements to the structure of our water and Wastewater

department A Conservation and Demand Management (CDM) team with regular scheduled

meeting has been instituted a structurestrategy for finding and implementing CDM measures

has been established and benchmarking and statistical analysis of energy data have been

employed to better facilitate the efficient operation of our facilities We will continue to

investigate measures to integrate CDM into all that we do in the ongoing operations and capital

7

improvements of the infrastructure the citizens of The City of Kingston has entrusted us to

manage

Very Sincerely

Jim Keech

President and CEO Utilities Kingston

8

Executive Summary This Conservation and demand management plan was produced in response to regulation

39711 under the Green Energy and Green Economy Act As required by the regulation it

includes our facilities consumption data for the reporting year our goals and objectives for

conservation and demand management for the upcoming 5 years a list of proposed measures

and confirmation of approval from our senior management

This Document is structured in 4 main sections laying out our current energy situation our

efforts for developing an energy management structure the most noteworthy measures

implemented in the last 5 years and the measures that are proposed for the next 5 years

Section one is our current energy situation It defines our energy management leadership

structure the strategies for finding and implementing measures and includes the summary of

energy consumption and GHG emissions for the reporting year

Section two is what wersquove done in the last year It covers the steps wersquove taken to establish a

team with regular scheduled meetings and a structure by which to bring measures to

completion It exemplifies our efforts to create a method by which to find and ultimately

implement measures throughout the system These efforts include metering and data storage

improvements analytical reporting facility assessments and incorporating energy efficiency

into the selection and evaluation of capital investments

Section three is what wersquove done in the last 5 years It covers the noteworthy measures

implemented in that time period including the separation of our combined sewers and the

retrofits done to some of our larger facilities This section introduces the link between water

conservation and energy conservation and our water conservation and active leak detection

programs are noted for their significant energy savings

Section four is what wersquore going to do in the next 5 years It covers the measures that are still

being evaluated the planned measures for the next five years and includes an estimate of the

costs energydemand savings and the expected lifetime for each of the measures

9

Utilities Kingstonrsquos Water and Wastewater Conservation and Demand Management Plan

Current Energy Situation o Leadership and structure of current energy management o Existing strategy for finding conservation measures

o Existing strategy for analyzing and implementing conservation measures

o Energy benchmarks

Leadership and Structure of Current Energy management Kingstonrsquos water and wastewater system is an interconnected energy network Changes that

are made are not localized they often affect other parts of the system This is a significant

factor when it comes to facilities that are governed by highly regulated standards Itrsquos not just

the efficiency of the system under consideration we need to consider efficiency as well as

quality quantity and safety ecause of this it doesnrsquot make sense to bring in one person to

find analyze and implement measures for the whole system It was absolutely necessary to

establish a team There needed to be a merger between the knowledge of energy efficiency

and the knowledge of process management The team that was selected is led by the Director

of Water and Wastewater Operations and is comprised of four Supervisors and the Energy

Management Associate which is currently an Energy Systems Engineering Technology graduate

from St Lawrence College This team was established to find and evaluate viability of potential

investments quantify the potential savings for these investments and ensure implementation

of cost effective CDM measures throughout the system This team meets regularly to discuss

the viability of measures and to suggest ideas and possible opportunities to be investigated

Existing Strategy for Finding Conservation Measures Our current strategy for finding potential measures consists of four ongoing steps

1 Metering Improvements

2 Data analytics

10

3 Facility assessments 4 Increasing awareness and Gathering suggestions

Metering Improvements

Metering improvements are made on a consistent basis in order to increase the quality and

quantity of our facility data This will allow us to perform more accurate analyses having better

correlation strengths and ultimately provide us with more confidence in making conclusions

from the data

Data Analytics

For some of our larger facilities wersquove implemented ongoing data analytics to better aide us in

managing each facilityrsquos energy consumption The analyses include breaking down the energy

usage into its key components and looking for excessive consumption or performance

anomalies There is more on our data analytics for the facilities in Appendix A

Facility Assessments

Facility assessments are performed on the facilities that have been red flagged by data analytics

or where a potential measure has been proposed by staff The assessments are used to confirm

the causes of the anomalies or the excessive consumption and ultimately establish the ldquobase

caserdquo for a measure From here there are usually several DM measures that could be

implemented The possible measures are noted for further evaluation

Increasing Awareness and Gathering Suggestions

Increasing awareness and gathering suggestions from operational staff is an excellent way to

establish a solid list of potential measures The general staff are in the facilities day in and day

out and offer a wealth of knowledge and opinion on operational issues design constraints and

process inefficiencies

Existing Strategy for Analyzing and Implementing Measures Once a list of potential measures has been identified they need to be evaluated on their

operational impact and economic benefit This process consists of 6 general steps

1 Financial and Operational Benefits Analysis

2 Presentation of Findings

3 Establishing operational feasibility

4 Incentive pre-approval

5 Implementation

6 Incentive post-approval

11

Financial and Operational Benefits Analysis

A financial analysis is performed on each of the measures to establish their economic viability

The Energy management Associate works in collaboration with the Conservation and Demand

Management department to determine eligibility and EMampV requirements for potential

incentive applications The lifetime energy savings capital and installation costs as well as the

possible upfront incentive contribution are calculated and a payback period is determined

Payback periods of up to 5 years are considered but will be implemented according to order of

importance Economic viability is not the only factor considered there may also be operational

benefits or detriments to quality quantity or safety to weigh in on for example a newer higher

efficiency motor is also safer and more reliable or a cheaper measure with a shorter payback

may put limitations on the system These and similar advantages and disadvantages are noted

in the analysis

Presentation of Findings

The financial and operational benefits analysis is presented in business case format by the

Energy Management Associate to the Director of water and wastewater Operations The risk

payback and benefits are all considered and a decision is made whether to pursue

implementation of the measure

Establishing Operational Feasibility

Once it has been decided to pursue implementation operational feasibility must be

established This is done at the energy management meetings where the cost-effective

measures are discussed with the operational team to consider potential quality quantity or

safety concerns This will quite often lead to further investigation of operational impact

including research and additional site assessments Depending on the complexity andor

economic payback of the measure it may also be reasonable to seek additional advice from a

consultancy or a specialist Measures that are deemed both cost effective and operationally

feasible are agreed upon and move on to the next step

Incentive Pre-Application

Pre-project applications for financial incentives are made at this point Incentives for eligible

measures are calculated based on potential energy or demand savings Once the measure is

approved implementation can begin

Implementation

The cost-effective operationally feasible and incentive pre-approved measures get added to

the capital budget for the water and wastewater utilities At this point the measure will be

implemented based on order of importance factoring in emergency and operationalbudgetary

limitations

12

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

me

Addr

ess

Post

al

Code

Acco

unt

Num

ber

Met

er

Num

ber

2012

Flo

w Vo

lum

es

(meg

alite

rs)

2012

Ene

rgy

Cons

umpt

ion

(kW

h)

2012

Nat

ural

G

as

Cons

umpt

ion

(m3 )

2011

ek

Wh

per

meg

alite

r

2012

ek

Wh

per

meg

alite

r

2012

kg

of

GHG

Note

s

BAR

RET

T C

T SE

WAG

E PU

MPI

NG S

TATI

ON

723

BAR

RET

T C

TK7

L 5H

630

0742

117

J046

533

1354

1062

530

6678

1020

0BA

TH -

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

4054

BAT

H R

DK7

M 4

Y430

0242

741

J298

4685

-18

400

201

-17

7In

suffi

cien

t Flo

w D

ata

BATH

- LO

WER

DR

IVE

SEW

AGE

PUM

PING

STA

TIO

N41

46 L

OW

ER D

RK7

M 7

K130

0564

743

J203

8976

1070

60

2768

68BA

TH R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1298

BAT

H R

D

K7M

4X3

3001

2424

3J0

8580

621

433

409

9213

416

133

81C

ANA

SEW

AGE

TREA

TMEN

T PL

ANT

1756

CAN

A BL

VDK7

L 4V

330

0870

389

J073

092

2969

510

056

123

8866

73C

ANA

WAT

ER T

RAE

TMEN

T PL

ANT

1753

CAN

A BL

VDK7

L 4V

330

0427

870

J263

6370

1025

132

028

2025

0424

13C

ATAR

AQUI

BAY

SEW

AGE

TREA

TMEN

T PL

ANT

409

FRO

NT R

DK7

M 5

R8

3009

5783

1J1

3050

5492

9236

7300

516

9403

534

589

6728

81C

OLL

INS

BAY

RD

BO

OST

ER S

TATI

ON

865

CO

LLIN

S BA

Y R

DK7

M 5

H130

0139

698

J298

9955

1174

860

4864

656

719

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1205

CO

LLIN

S BA

Y R

DK7

P 2X

630

0234

460

J298

4634

2528

560

211

227

4C

OVE

RD

ALE

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SEW

AGE

PUM

PING

STA

TIO

N10

66 C

OVE

RD

ALE

K7M

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3009

2590

1J2

9847

2065

017

459

026

2716

76C

RER

AR B

LVD

SEW

AGE

PUM

PING

STA

TIO

N46

CR

ERAR

K7M

7C

630

0849

074

J298

9250

541

6015

819

177

115

6137

DAY

S R

D S

EWAG

E PU

MPI

NG S

TATI

ON

419

DAY

S R

D

K7M

3R

530

1022

951

J029

146

7173

4978

800

7469

4779

6HI

LLVI

EW R

D S

EWAG

E PU

MPI

NG S

TATI

ON

740

HILL

VIEW

RD

K7M

5C

730

0319

322

J318

9324

682

1433

000

160

210

1375

7HW

Y 15

SEW

AGE

PUM

PING

STA

TIO

N28

9 HW

Y 15

K7L

5H6

3007

5071

7J2

9803

3777

2295

10

179

297

2203

KENW

OO

DS

CIR

CLE

SEW

AGE

PUM

PING

STA

TIO

N84

KEN

WO

OD

S C

IRK7

K 6Y

230

0932

452

J298

9643

192

8941

046

4685

8LA

KESH

OR

E BL

VD S

EWAG

E PU

MPI

NG S

TATI

ON

187

LAKE

SHO

RE

BLVD

K7M

6Z6

3011

9415

4J2

9892

4930

836

930

011

512

035

45O

CO

NNO

R D

R W

ATER

RES

ERVO

IR

590

OC

ONN

OR

DR

K7

P 1N

3-

-36

34-

4684

12-

8856

Insu

ffici

ent E

nerg

y D

ata

OLD

CO

LONY

RD

BO

OST

ER S

TATI

ON

901

OLD

CO

LONY

RD

K7

P 1S

130

0330

058

J298

9990

-25

025

0-

-24

02In

suffi

cien

t Flo

w D

ata

POIN

T PL

EASA

NT W

ATER

TR

AETM

ENT

PLAN

T80

SUN

NY A

CR

ES R

DK7

M 3

N230

0656

583

J072

041

7870

2987

050

039

338

028

6757

PRO

GR

ESS

AVE

WAT

ER R

ESER

VOIR

73

0 PR

OG

RES

S AV

EK7

M 4

W9

2990

3100

2J3

2436

0661

1294

500

2597

2127

1242

7PU

RD

Y C

T BO

OST

ER S

TATI

ON

896

PUR

DY

CT

K7M

3M

930

1134

575

J298

9644

-52

163

043

3-

5008

Insu

ffici

ent F

low

Dat

aR

ANKI

N ST

SEW

AGE

PUM

PING

STA

TIO

N60

2 R

ANKI

N ST

K7

M 7

L430

1269

720

J203

9867

3585

140

231

241

817

RAV

ENSV

IEW

SEW

AGE

TREA

TMEN

T PL

ANT

947

HWY

2 E

AST

K7L

4V1

3003

0522

7J0

9930

120

833

3973

468

1706

9037

227

870

4160

SCHO

ONE

R D

R S

EWAG

E PU

MPI

NG S

TATI

ON

22 S

CHO

ONE

R D

RK7

K 7J

830

0337

083

J298

9650

387

3367

08

932

3W

ESTB

RO

OK

RD

SEW

AGE

PUM

PING

STA

TIO

N11

43 W

ESTB

RO

OK

RD

K7P

2V7

3005

2778

0J2

9846

3359

1059

00

152

181

1017

DAL

TON

AVE

SEW

AGE

PUM

PING

STA

TIO

N26

6 D

ALTO

N AV

EK7

K 6C

311

0795

E513

8432

1351

2968

32

3126

142

170

5515

5G

REE

NVIE

W D

R S

EWAG

E PU

MPI

NG S

TATI

ON

38 G

REE

NVIE

W D

RK7

M 7

T511

4356

E864

0013

212

754

5323

60

1197

1224

HATT

ER S

T SE

WAG

E PU

MPI

NG S

TATI

ON

91 H

ATTE

R S

TK7

M 2

L620

4468

E661

032

315

4134

089

020

517

530

JAM

ES S

T BO

OST

ER S

TATI

ON

229

JAM

ES S

TK7

K 1Z

516

7927

2783

302

90

310

162

2618

7JA

MES

ST

SEW

AGE

PUM

PING

STA

TIO

N21

3 JA

MES

ST

K7K

1Z5

536

1995

805

254

022

737

319

160

KING

- C

OLL

ING

WO

OD

CSO

270

KING

ST

K7L

3A9

2042

02E8

5352

296

2754

574

925

012

993

2644

KING

- EL

EVAT

OR

BAY

SEW

AGE

PUM

PING

STA

TIO

N11

00 K

ING

ST

WK7

M 8

J219

2066

E865

5611

1572

382

581

017

0914

3615

09KI

NG -

POR

TSM

OUT

H SE

WAG

E PU

MPI

NG S

TATI

ON

621

KING

ST

WK7

M 2

E711

8373

E527

4617

0220

7015

084

563

1713

616

131

816

KING

ST

WAT

ER T

RAE

TMEN

T PL

ANT

300

KING

ST

WK7

L 2X

111

8371

E493

9017

479

5729

033

013

4879

935

535

764

2246

KING

ST

SEW

AGE

PUM

PING

STA

TIO

N AN

D C

SO62

KIN

G S

T W

K7L

0A6

1183

25E8

7971

7296

3453

438

169

1860

611

474

6832

9M

OR

TON

ST S

EWAG

E PU

MPI

NG S

TATI

ON

1 M

OR

TON

STK7

L 2X

412

2446

E860

1614

1228

053

142

069

188

011

79NO

TCH

HILL

RD

SEW

AGE

PUM

PING

STA

TIO

N60

NO

TCH

HILL

RD

K7M

2W

916

7937

E766

140

721

1072

581

081

612

027

OR

CHA

RD

- EM

MA

MAR

TIN

CSO

7 O

RC

HAR

D S

TK7

K 2Z

420

4183

E854

24-

1630

529

30

--

1565

Insu

ffici

ent F

low

Dat

aPA

LAC

E R

D S

EWAG

E PU

MPI

NG S

TATI

ON

270

PALA

CE

RD

K7L

4T2

2038

66E8

6019

358

1151

904

837

016

3211

06R

IVER

ST

SEW

AGE

PUM

PING

STA

TIO

N12

RIV

ER S

TK7

K 2A

120

7678

E523

9117

323

3064

276

225

5192

170

180

3039

86TH

IRD

AVE

NUE

WAT

ER R

ESER

VOIR

14

1 TH

IRD

AVE

K7K

2J8

1340

41E5

5648

1276

2005

032

285

013

315

719

248

YONG

E ST

SEW

AGE

PUM

PING

STA

TIO

N20

YO

NGE

STK7

M 1

E313

8843

E661

01-

477

3640

816

025

-46

Insu

ffici

ent F

low

Dat

a

1030

06E8

6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Letter from the President and CEO We at Utilities Kingston are very proud to assist our Shareholder The

City of Kingston in its goal of becoming anadarsquos most sustainable city

environmentally economically socially and culturally

With the implementation of regulation 39711 the government of

Ontario has initiated a focus on the environmental impact of public

sector facilities and buildings Utilities Kingston is supportive of this

regulation and works constantly to fulfill the goals of this regulation We

manage The City of Kingstonrsquos water and wastewater systems with a

goal that results in minimal impact on our surrounding environment

Conservation and efficiency plays a significant part in reducing that impact

Efficiency is literally at the core of this company It can be seen not only in our capital

expenditures but in the unique organizational structure of the corporation itself In most

municipalities individual utilities are stand-alone with each utility being managed by separate

organizations with separate finance billing metering warehousing and engineering

departments Utilities Kingston has combined all utilities under one roof water wastewater

gas electrical services and broadband fiber optics services This structure enables our different

divisions to work together and leverage each otherrsquos resources leading to timely and cost-

effective completion of duties This shared services model applies to our systems customer

care billing and accounting as well as equipment human resources and even our fleet (one call

one crew and one bill) In this way we can provide all services in the most economical and

energy efficient manner possible The combined capital and operational savings from this

convergence allows us to invest more into the quality and reliability of our services while

controlling costs for our customers

Our water and wastewater system is one of Kingstonrsquos largest energy consumers Unnecessary

consumption is wasteful of financial and environmental resources and for that reason

conservation and efficiency must be central to our system planning maintenance and

equipment procurement processes

This last year has brought several improvements to the structure of our water and Wastewater

department A Conservation and Demand Management (CDM) team with regular scheduled

meeting has been instituted a structurestrategy for finding and implementing CDM measures

has been established and benchmarking and statistical analysis of energy data have been

employed to better facilitate the efficient operation of our facilities We will continue to

investigate measures to integrate CDM into all that we do in the ongoing operations and capital

7

improvements of the infrastructure the citizens of The City of Kingston has entrusted us to

manage

Very Sincerely

Jim Keech

President and CEO Utilities Kingston

8

Executive Summary This Conservation and demand management plan was produced in response to regulation

39711 under the Green Energy and Green Economy Act As required by the regulation it

includes our facilities consumption data for the reporting year our goals and objectives for

conservation and demand management for the upcoming 5 years a list of proposed measures

and confirmation of approval from our senior management

This Document is structured in 4 main sections laying out our current energy situation our

efforts for developing an energy management structure the most noteworthy measures

implemented in the last 5 years and the measures that are proposed for the next 5 years

Section one is our current energy situation It defines our energy management leadership

structure the strategies for finding and implementing measures and includes the summary of

energy consumption and GHG emissions for the reporting year

Section two is what wersquove done in the last year It covers the steps wersquove taken to establish a

team with regular scheduled meetings and a structure by which to bring measures to

completion It exemplifies our efforts to create a method by which to find and ultimately

implement measures throughout the system These efforts include metering and data storage

improvements analytical reporting facility assessments and incorporating energy efficiency

into the selection and evaluation of capital investments

Section three is what wersquove done in the last 5 years It covers the noteworthy measures

implemented in that time period including the separation of our combined sewers and the

retrofits done to some of our larger facilities This section introduces the link between water

conservation and energy conservation and our water conservation and active leak detection

programs are noted for their significant energy savings

Section four is what wersquore going to do in the next 5 years It covers the measures that are still

being evaluated the planned measures for the next five years and includes an estimate of the

costs energydemand savings and the expected lifetime for each of the measures

9

Utilities Kingstonrsquos Water and Wastewater Conservation and Demand Management Plan

Current Energy Situation o Leadership and structure of current energy management o Existing strategy for finding conservation measures

o Existing strategy for analyzing and implementing conservation measures

o Energy benchmarks

Leadership and Structure of Current Energy management Kingstonrsquos water and wastewater system is an interconnected energy network Changes that

are made are not localized they often affect other parts of the system This is a significant

factor when it comes to facilities that are governed by highly regulated standards Itrsquos not just

the efficiency of the system under consideration we need to consider efficiency as well as

quality quantity and safety ecause of this it doesnrsquot make sense to bring in one person to

find analyze and implement measures for the whole system It was absolutely necessary to

establish a team There needed to be a merger between the knowledge of energy efficiency

and the knowledge of process management The team that was selected is led by the Director

of Water and Wastewater Operations and is comprised of four Supervisors and the Energy

Management Associate which is currently an Energy Systems Engineering Technology graduate

from St Lawrence College This team was established to find and evaluate viability of potential

investments quantify the potential savings for these investments and ensure implementation

of cost effective CDM measures throughout the system This team meets regularly to discuss

the viability of measures and to suggest ideas and possible opportunities to be investigated

Existing Strategy for Finding Conservation Measures Our current strategy for finding potential measures consists of four ongoing steps

1 Metering Improvements

2 Data analytics

10

3 Facility assessments 4 Increasing awareness and Gathering suggestions

Metering Improvements

Metering improvements are made on a consistent basis in order to increase the quality and

quantity of our facility data This will allow us to perform more accurate analyses having better

correlation strengths and ultimately provide us with more confidence in making conclusions

from the data

Data Analytics

For some of our larger facilities wersquove implemented ongoing data analytics to better aide us in

managing each facilityrsquos energy consumption The analyses include breaking down the energy

usage into its key components and looking for excessive consumption or performance

anomalies There is more on our data analytics for the facilities in Appendix A

Facility Assessments

Facility assessments are performed on the facilities that have been red flagged by data analytics

or where a potential measure has been proposed by staff The assessments are used to confirm

the causes of the anomalies or the excessive consumption and ultimately establish the ldquobase

caserdquo for a measure From here there are usually several DM measures that could be

implemented The possible measures are noted for further evaluation

Increasing Awareness and Gathering Suggestions

Increasing awareness and gathering suggestions from operational staff is an excellent way to

establish a solid list of potential measures The general staff are in the facilities day in and day

out and offer a wealth of knowledge and opinion on operational issues design constraints and

process inefficiencies

Existing Strategy for Analyzing and Implementing Measures Once a list of potential measures has been identified they need to be evaluated on their

operational impact and economic benefit This process consists of 6 general steps

1 Financial and Operational Benefits Analysis

2 Presentation of Findings

3 Establishing operational feasibility

4 Incentive pre-approval

5 Implementation

6 Incentive post-approval

11

Financial and Operational Benefits Analysis

A financial analysis is performed on each of the measures to establish their economic viability

The Energy management Associate works in collaboration with the Conservation and Demand

Management department to determine eligibility and EMampV requirements for potential

incentive applications The lifetime energy savings capital and installation costs as well as the

possible upfront incentive contribution are calculated and a payback period is determined

Payback periods of up to 5 years are considered but will be implemented according to order of

importance Economic viability is not the only factor considered there may also be operational

benefits or detriments to quality quantity or safety to weigh in on for example a newer higher

efficiency motor is also safer and more reliable or a cheaper measure with a shorter payback

may put limitations on the system These and similar advantages and disadvantages are noted

in the analysis

Presentation of Findings

The financial and operational benefits analysis is presented in business case format by the

Energy Management Associate to the Director of water and wastewater Operations The risk

payback and benefits are all considered and a decision is made whether to pursue

implementation of the measure

Establishing Operational Feasibility

Once it has been decided to pursue implementation operational feasibility must be

established This is done at the energy management meetings where the cost-effective

measures are discussed with the operational team to consider potential quality quantity or

safety concerns This will quite often lead to further investigation of operational impact

including research and additional site assessments Depending on the complexity andor

economic payback of the measure it may also be reasonable to seek additional advice from a

consultancy or a specialist Measures that are deemed both cost effective and operationally

feasible are agreed upon and move on to the next step

Incentive Pre-Application

Pre-project applications for financial incentives are made at this point Incentives for eligible

measures are calculated based on potential energy or demand savings Once the measure is

approved implementation can begin

Implementation

The cost-effective operationally feasible and incentive pre-approved measures get added to

the capital budget for the water and wastewater utilities At this point the measure will be

implemented based on order of importance factoring in emergency and operationalbudgetary

limitations

12

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

me

Addr

ess

Post

al

Code

Acco

unt

Num

ber

Met

er

Num

ber

2012

Flo

w Vo

lum

es

(meg

alite

rs)

2012

Ene

rgy

Cons

umpt

ion

(kW

h)

2012

Nat

ural

G

as

Cons

umpt

ion

(m3 )

2011

ek

Wh

per

meg

alite

r

2012

ek

Wh

per

meg

alite

r

2012

kg

of

GHG

Note

s

BAR

RET

T C

T SE

WAG

E PU

MPI

NG S

TATI

ON

723

BAR

RET

T C

TK7

L 5H

630

0742

117

J046

533

1354

1062

530

6678

1020

0BA

TH -

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

4054

BAT

H R

DK7

M 4

Y430

0242

741

J298

4685

-18

400

201

-17

7In

suffi

cien

t Flo

w D

ata

BATH

- LO

WER

DR

IVE

SEW

AGE

PUM

PING

STA

TIO

N41

46 L

OW

ER D

RK7

M 7

K130

0564

743

J203

8976

1070

60

2768

68BA

TH R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1298

BAT

H R

D

K7M

4X3

3001

2424

3J0

8580

621

433

409

9213

416

133

81C

ANA

SEW

AGE

TREA

TMEN

T PL

ANT

1756

CAN

A BL

VDK7

L 4V

330

0870

389

J073

092

2969

510

056

123

8866

73C

ANA

WAT

ER T

RAE

TMEN

T PL

ANT

1753

CAN

A BL

VDK7

L 4V

330

0427

870

J263

6370

1025

132

028

2025

0424

13C

ATAR

AQUI

BAY

SEW

AGE

TREA

TMEN

T PL

ANT

409

FRO

NT R

DK7

M 5

R8

3009

5783

1J1

3050

5492

9236

7300

516

9403

534

589

6728

81C

OLL

INS

BAY

RD

BO

OST

ER S

TATI

ON

865

CO

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S BA

Y R

DK7

M 5

H130

0139

698

J298

9955

1174

860

4864

656

719

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S BA

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TATI

ON

1205

CO

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S BA

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DK7

P 2X

630

0234

460

J298

4634

2528

560

211

227

4C

OVE

RD

ALE

DR

SEW

AGE

PUM

PING

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66 C

OVE

RD

ALE

K7M

8X7

3009

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9847

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76C

RER

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AGE

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K7M

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630

0849

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J298

9250

541

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819

177

115

6137

DAY

S R

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419

DAY

S R

D

K7M

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530

1022

951

J029

146

7173

4978

800

7469

4779

6HI

LLVI

EW R

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740

HILL

VIEW

RD

K7M

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0319

322

J318

9324

682

1433

000

160

210

1375

7HW

Y 15

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AGE

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9 HW

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K7L

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5071

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Insu

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38 G

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4356

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0013

212

754

5323

60

1197

1224

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MPI

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TATI

ON

91 H

ATTE

R S

TK7

M 2

L620

4468

E661

032

315

4134

089

020

517

530

JAM

ES S

T BO

OST

ER S

TATI

ON

229

JAM

ES S

TK7

K 1Z

516

7927

2783

302

90

310

162

2618

7JA

MES

ST

SEW

AGE

PUM

PING

STA

TIO

N21

3 JA

MES

ST

K7K

1Z5

536

1995

805

254

022

737

319

160

KING

- C

OLL

ING

WO

OD

CSO

270

KING

ST

K7L

3A9

2042

02E8

5352

296

2754

574

925

012

993

2644

KING

- EL

EVAT

OR

BAY

SEW

AGE

PUM

PING

STA

TIO

N11

00 K

ING

ST

WK7

M 8

J219

2066

E865

5611

1572

382

581

017

0914

3615

09KI

NG -

POR

TSM

OUT

H SE

WAG

E PU

MPI

NG S

TATI

ON

621

KING

ST

WK7

M 2

E711

8373

E527

4617

0220

7015

084

563

1713

616

131

816

KING

ST

WAT

ER T

RAE

TMEN

T PL

ANT

300

KING

ST

WK7

L 2X

111

8371

E493

9017

479

5729

033

013

4879

935

535

764

2246

KING

ST

SEW

AGE

PUM

PING

STA

TIO

N AN

D C

SO62

KIN

G S

T W

K7L

0A6

1183

25E8

7971

7296

3453

438

169

1860

611

474

6832

9M

OR

TON

ST S

EWAG

E PU

MPI

NG S

TATI

ON

1 M

OR

TON

STK7

L 2X

412

2446

E860

1614

1228

053

142

069

188

011

79NO

TCH

HILL

RD

SEW

AGE

PUM

PING

STA

TIO

N60

NO

TCH

HILL

RD

K7M

2W

916

7937

E766

140

721

1072

581

081

612

027

OR

CHA

RD

- EM

MA

MAR

TIN

CSO

7 O

RC

HAR

D S

TK7

K 2Z

420

4183

E854

24-

1630

529

30

--

1565

Insu

ffici

ent F

low

Dat

aPA

LAC

E R

D S

EWAG

E PU

MPI

NG S

TATI

ON

270

PALA

CE

RD

K7L

4T2

2038

66E8

6019

358

1151

904

837

016

3211

06R

IVER

ST

SEW

AGE

PUM

PING

STA

TIO

N12

RIV

ER S

TK7

K 2A

120

7678

E523

9117

323

3064

276

225

5192

170

180

3039

86TH

IRD

AVE

NUE

WAT

ER R

ESER

VOIR

14

1 TH

IRD

AVE

K7K

2J8

1340

41E5

5648

1276

2005

032

285

013

315

719

248

YONG

E ST

SEW

AGE

PUM

PING

STA

TIO

N20

YO

NGE

STK7

M 1

E313

8843

E661

01-

477

3640

816

025

-46

Insu

ffici

ent F

low

Dat

a

1030

06E8

6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

improvements of the infrastructure the citizens of The City of Kingston has entrusted us to

manage

Very Sincerely

Jim Keech

President and CEO Utilities Kingston

8

Executive Summary This Conservation and demand management plan was produced in response to regulation

39711 under the Green Energy and Green Economy Act As required by the regulation it

includes our facilities consumption data for the reporting year our goals and objectives for

conservation and demand management for the upcoming 5 years a list of proposed measures

and confirmation of approval from our senior management

This Document is structured in 4 main sections laying out our current energy situation our

efforts for developing an energy management structure the most noteworthy measures

implemented in the last 5 years and the measures that are proposed for the next 5 years

Section one is our current energy situation It defines our energy management leadership

structure the strategies for finding and implementing measures and includes the summary of

energy consumption and GHG emissions for the reporting year

Section two is what wersquove done in the last year It covers the steps wersquove taken to establish a

team with regular scheduled meetings and a structure by which to bring measures to

completion It exemplifies our efforts to create a method by which to find and ultimately

implement measures throughout the system These efforts include metering and data storage

improvements analytical reporting facility assessments and incorporating energy efficiency

into the selection and evaluation of capital investments

Section three is what wersquove done in the last 5 years It covers the noteworthy measures

implemented in that time period including the separation of our combined sewers and the

retrofits done to some of our larger facilities This section introduces the link between water

conservation and energy conservation and our water conservation and active leak detection

programs are noted for their significant energy savings

Section four is what wersquore going to do in the next 5 years It covers the measures that are still

being evaluated the planned measures for the next five years and includes an estimate of the

costs energydemand savings and the expected lifetime for each of the measures

9

Utilities Kingstonrsquos Water and Wastewater Conservation and Demand Management Plan

Current Energy Situation o Leadership and structure of current energy management o Existing strategy for finding conservation measures

o Existing strategy for analyzing and implementing conservation measures

o Energy benchmarks

Leadership and Structure of Current Energy management Kingstonrsquos water and wastewater system is an interconnected energy network Changes that

are made are not localized they often affect other parts of the system This is a significant

factor when it comes to facilities that are governed by highly regulated standards Itrsquos not just

the efficiency of the system under consideration we need to consider efficiency as well as

quality quantity and safety ecause of this it doesnrsquot make sense to bring in one person to

find analyze and implement measures for the whole system It was absolutely necessary to

establish a team There needed to be a merger between the knowledge of energy efficiency

and the knowledge of process management The team that was selected is led by the Director

of Water and Wastewater Operations and is comprised of four Supervisors and the Energy

Management Associate which is currently an Energy Systems Engineering Technology graduate

from St Lawrence College This team was established to find and evaluate viability of potential

investments quantify the potential savings for these investments and ensure implementation

of cost effective CDM measures throughout the system This team meets regularly to discuss

the viability of measures and to suggest ideas and possible opportunities to be investigated

Existing Strategy for Finding Conservation Measures Our current strategy for finding potential measures consists of four ongoing steps

1 Metering Improvements

2 Data analytics

10

3 Facility assessments 4 Increasing awareness and Gathering suggestions

Metering Improvements

Metering improvements are made on a consistent basis in order to increase the quality and

quantity of our facility data This will allow us to perform more accurate analyses having better

correlation strengths and ultimately provide us with more confidence in making conclusions

from the data

Data Analytics

For some of our larger facilities wersquove implemented ongoing data analytics to better aide us in

managing each facilityrsquos energy consumption The analyses include breaking down the energy

usage into its key components and looking for excessive consumption or performance

anomalies There is more on our data analytics for the facilities in Appendix A

Facility Assessments

Facility assessments are performed on the facilities that have been red flagged by data analytics

or where a potential measure has been proposed by staff The assessments are used to confirm

the causes of the anomalies or the excessive consumption and ultimately establish the ldquobase

caserdquo for a measure From here there are usually several DM measures that could be

implemented The possible measures are noted for further evaluation

Increasing Awareness and Gathering Suggestions

Increasing awareness and gathering suggestions from operational staff is an excellent way to

establish a solid list of potential measures The general staff are in the facilities day in and day

out and offer a wealth of knowledge and opinion on operational issues design constraints and

process inefficiencies

Existing Strategy for Analyzing and Implementing Measures Once a list of potential measures has been identified they need to be evaluated on their

operational impact and economic benefit This process consists of 6 general steps

1 Financial and Operational Benefits Analysis

2 Presentation of Findings

3 Establishing operational feasibility

4 Incentive pre-approval

5 Implementation

6 Incentive post-approval

11

Financial and Operational Benefits Analysis

A financial analysis is performed on each of the measures to establish their economic viability

The Energy management Associate works in collaboration with the Conservation and Demand

Management department to determine eligibility and EMampV requirements for potential

incentive applications The lifetime energy savings capital and installation costs as well as the

possible upfront incentive contribution are calculated and a payback period is determined

Payback periods of up to 5 years are considered but will be implemented according to order of

importance Economic viability is not the only factor considered there may also be operational

benefits or detriments to quality quantity or safety to weigh in on for example a newer higher

efficiency motor is also safer and more reliable or a cheaper measure with a shorter payback

may put limitations on the system These and similar advantages and disadvantages are noted

in the analysis

Presentation of Findings

The financial and operational benefits analysis is presented in business case format by the

Energy Management Associate to the Director of water and wastewater Operations The risk

payback and benefits are all considered and a decision is made whether to pursue

implementation of the measure

Establishing Operational Feasibility

Once it has been decided to pursue implementation operational feasibility must be

established This is done at the energy management meetings where the cost-effective

measures are discussed with the operational team to consider potential quality quantity or

safety concerns This will quite often lead to further investigation of operational impact

including research and additional site assessments Depending on the complexity andor

economic payback of the measure it may also be reasonable to seek additional advice from a

consultancy or a specialist Measures that are deemed both cost effective and operationally

feasible are agreed upon and move on to the next step

Incentive Pre-Application

Pre-project applications for financial incentives are made at this point Incentives for eligible

measures are calculated based on potential energy or demand savings Once the measure is

approved implementation can begin

Implementation

The cost-effective operationally feasible and incentive pre-approved measures get added to

the capital budget for the water and wastewater utilities At this point the measure will be

implemented based on order of importance factoring in emergency and operationalbudgetary

limitations

12

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

me

Addr

ess

Post

al

Code

Acco

unt

Num

ber

Met

er

Num

ber

2012

Flo

w Vo

lum

es

(meg

alite

rs)

2012

Ene

rgy

Cons

umpt

ion

(kW

h)

2012

Nat

ural

G

as

Cons

umpt

ion

(m3 )

2011

ek

Wh

per

meg

alite

r

2012

ek

Wh

per

meg

alite

r

2012

kg

of

GHG

Note

s

BAR

RET

T C

T SE

WAG

E PU

MPI

NG S

TATI

ON

723

BAR

RET

T C

TK7

L 5H

630

0742

117

J046

533

1354

1062

530

6678

1020

0BA

TH -

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

4054

BAT

H R

DK7

M 4

Y430

0242

741

J298

4685

-18

400

201

-17

7In

suffi

cien

t Flo

w D

ata

BATH

- LO

WER

DR

IVE

SEW

AGE

PUM

PING

STA

TIO

N41

46 L

OW

ER D

RK7

M 7

K130

0564

743

J203

8976

1070

60

2768

68BA

TH R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1298

BAT

H R

D

K7M

4X3

3001

2424

3J0

8580

621

433

409

9213

416

133

81C

ANA

SEW

AGE

TREA

TMEN

T PL

ANT

1756

CAN

A BL

VDK7

L 4V

330

0870

389

J073

092

2969

510

056

123

8866

73C

ANA

WAT

ER T

RAE

TMEN

T PL

ANT

1753

CAN

A BL

VDK7

L 4V

330

0427

870

J263

6370

1025

132

028

2025

0424

13C

ATAR

AQUI

BAY

SEW

AGE

TREA

TMEN

T PL

ANT

409

FRO

NT R

DK7

M 5

R8

3009

5783

1J1

3050

5492

9236

7300

516

9403

534

589

6728

81C

OLL

INS

BAY

RD

BO

OST

ER S

TATI

ON

865

CO

LLIN

S BA

Y R

DK7

M 5

H130

0139

698

J298

9955

1174

860

4864

656

719

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1205

CO

LLIN

S BA

Y R

DK7

P 2X

630

0234

460

J298

4634

2528

560

211

227

4C

OVE

RD

ALE

DR

SEW

AGE

PUM

PING

STA

TIO

N10

66 C

OVE

RD

ALE

K7M

8X7

3009

2590

1J2

9847

2065

017

459

026

2716

76C

RER

AR B

LVD

SEW

AGE

PUM

PING

STA

TIO

N46

CR

ERAR

K7M

7C

630

0849

074

J298

9250

541

6015

819

177

115

6137

DAY

S R

D S

EWAG

E PU

MPI

NG S

TATI

ON

419

DAY

S R

D

K7M

3R

530

1022

951

J029

146

7173

4978

800

7469

4779

6HI

LLVI

EW R

D S

EWAG

E PU

MPI

NG S

TATI

ON

740

HILL

VIEW

RD

K7M

5C

730

0319

322

J318

9324

682

1433

000

160

210

1375

7HW

Y 15

SEW

AGE

PUM

PING

STA

TIO

N28

9 HW

Y 15

K7L

5H6

3007

5071

7J2

9803

3777

2295

10

179

297

2203

KENW

OO

DS

CIR

CLE

SEW

AGE

PUM

PING

STA

TIO

N84

KEN

WO

OD

S C

IRK7

K 6Y

230

0932

452

J298

9643

192

8941

046

4685

8LA

KESH

OR

E BL

VD S

EWAG

E PU

MPI

NG S

TATI

ON

187

LAKE

SHO

RE

BLVD

K7M

6Z6

3011

9415

4J2

9892

4930

836

930

011

512

035

45O

CO

NNO

R D

R W

ATER

RES

ERVO

IR

590

OC

ONN

OR

DR

K7

P 1N

3-

-36

34-

4684

12-

8856

Insu

ffici

ent E

nerg

y D

ata

OLD

CO

LONY

RD

BO

OST

ER S

TATI

ON

901

OLD

CO

LONY

RD

K7

P 1S

130

0330

058

J298

9990

-25

025

0-

-24

02In

suffi

cien

t Flo

w D

ata

POIN

T PL

EASA

NT W

ATER

TR

AETM

ENT

PLAN

T80

SUN

NY A

CR

ES R

DK7

M 3

N230

0656

583

J072

041

7870

2987

050

039

338

028

6757

PRO

GR

ESS

AVE

WAT

ER R

ESER

VOIR

73

0 PR

OG

RES

S AV

EK7

M 4

W9

2990

3100

2J3

2436

0661

1294

500

2597

2127

1242

7PU

RD

Y C

T BO

OST

ER S

TATI

ON

896

PUR

DY

CT

K7M

3M

930

1134

575

J298

9644

-52

163

043

3-

5008

Insu

ffici

ent F

low

Dat

aR

ANKI

N ST

SEW

AGE

PUM

PING

STA

TIO

N60

2 R

ANKI

N ST

K7

M 7

L430

1269

720

J203

9867

3585

140

231

241

817

RAV

ENSV

IEW

SEW

AGE

TREA

TMEN

T PL

ANT

947

HWY

2 E

AST

K7L

4V1

3003

0522

7J0

9930

120

833

3973

468

1706

9037

227

870

4160

SCHO

ONE

R D

R S

EWAG

E PU

MPI

NG S

TATI

ON

22 S

CHO

ONE

R D

RK7

K 7J

830

0337

083

J298

9650

387

3367

08

932

3W

ESTB

RO

OK

RD

SEW

AGE

PUM

PING

STA

TIO

N11

43 W

ESTB

RO

OK

RD

K7P

2V7

3005

2778

0J2

9846

3359

1059

00

152

181

1017

DAL

TON

AVE

SEW

AGE

PUM

PING

STA

TIO

N26

6 D

ALTO

N AV

EK7

K 6C

311

0795

E513

8432

1351

2968

32

3126

142

170

5515

5G

REE

NVIE

W D

R S

EWAG

E PU

MPI

NG S

TATI

ON

38 G

REE

NVIE

W D

RK7

M 7

T511

4356

E864

0013

212

754

5323

60

1197

1224

HATT

ER S

T SE

WAG

E PU

MPI

NG S

TATI

ON

91 H

ATTE

R S

TK7

M 2

L620

4468

E661

032

315

4134

089

020

517

530

JAM

ES S

T BO

OST

ER S

TATI

ON

229

JAM

ES S

TK7

K 1Z

516

7927

2783

302

90

310

162

2618

7JA

MES

ST

SEW

AGE

PUM

PING

STA

TIO

N21

3 JA

MES

ST

K7K

1Z5

536

1995

805

254

022

737

319

160

KING

- C

OLL

ING

WO

OD

CSO

270

KING

ST

K7L

3A9

2042

02E8

5352

296

2754

574

925

012

993

2644

KING

- EL

EVAT

OR

BAY

SEW

AGE

PUM

PING

STA

TIO

N11

00 K

ING

ST

WK7

M 8

J219

2066

E865

5611

1572

382

581

017

0914

3615

09KI

NG -

POR

TSM

OUT

H SE

WAG

E PU

MPI

NG S

TATI

ON

621

KING

ST

WK7

M 2

E711

8373

E527

4617

0220

7015

084

563

1713

616

131

816

KING

ST

WAT

ER T

RAE

TMEN

T PL

ANT

300

KING

ST

WK7

L 2X

111

8371

E493

9017

479

5729

033

013

4879

935

535

764

2246

KING

ST

SEW

AGE

PUM

PING

STA

TIO

N AN

D C

SO62

KIN

G S

T W

K7L

0A6

1183

25E8

7971

7296

3453

438

169

1860

611

474

6832

9M

OR

TON

ST S

EWAG

E PU

MPI

NG S

TATI

ON

1 M

OR

TON

STK7

L 2X

412

2446

E860

1614

1228

053

142

069

188

011

79NO

TCH

HILL

RD

SEW

AGE

PUM

PING

STA

TIO

N60

NO

TCH

HILL

RD

K7M

2W

916

7937

E766

140

721

1072

581

081

612

027

OR

CHA

RD

- EM

MA

MAR

TIN

CSO

7 O

RC

HAR

D S

TK7

K 2Z

420

4183

E854

24-

1630

529

30

--

1565

Insu

ffici

ent F

low

Dat

aPA

LAC

E R

D S

EWAG

E PU

MPI

NG S

TATI

ON

270

PALA

CE

RD

K7L

4T2

2038

66E8

6019

358

1151

904

837

016

3211

06R

IVER

ST

SEW

AGE

PUM

PING

STA

TIO

N12

RIV

ER S

TK7

K 2A

120

7678

E523

9117

323

3064

276

225

5192

170

180

3039

86TH

IRD

AVE

NUE

WAT

ER R

ESER

VOIR

14

1 TH

IRD

AVE

K7K

2J8

1340

41E5

5648

1276

2005

032

285

013

315

719

248

YONG

E ST

SEW

AGE

PUM

PING

STA

TIO

N20

YO

NGE

STK7

M 1

E313

8843

E661

01-

477

3640

816

025

-46

Insu

ffici

ent F

low

Dat

a

1030

06E8

6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Executive Summary This Conservation and demand management plan was produced in response to regulation

39711 under the Green Energy and Green Economy Act As required by the regulation it

includes our facilities consumption data for the reporting year our goals and objectives for

conservation and demand management for the upcoming 5 years a list of proposed measures

and confirmation of approval from our senior management

This Document is structured in 4 main sections laying out our current energy situation our

efforts for developing an energy management structure the most noteworthy measures

implemented in the last 5 years and the measures that are proposed for the next 5 years

Section one is our current energy situation It defines our energy management leadership

structure the strategies for finding and implementing measures and includes the summary of

energy consumption and GHG emissions for the reporting year

Section two is what wersquove done in the last year It covers the steps wersquove taken to establish a

team with regular scheduled meetings and a structure by which to bring measures to

completion It exemplifies our efforts to create a method by which to find and ultimately

implement measures throughout the system These efforts include metering and data storage

improvements analytical reporting facility assessments and incorporating energy efficiency

into the selection and evaluation of capital investments

Section three is what wersquove done in the last 5 years It covers the noteworthy measures

implemented in that time period including the separation of our combined sewers and the

retrofits done to some of our larger facilities This section introduces the link between water

conservation and energy conservation and our water conservation and active leak detection

programs are noted for their significant energy savings

Section four is what wersquore going to do in the next 5 years It covers the measures that are still

being evaluated the planned measures for the next five years and includes an estimate of the

costs energydemand savings and the expected lifetime for each of the measures

9

Utilities Kingstonrsquos Water and Wastewater Conservation and Demand Management Plan

Current Energy Situation o Leadership and structure of current energy management o Existing strategy for finding conservation measures

o Existing strategy for analyzing and implementing conservation measures

o Energy benchmarks

Leadership and Structure of Current Energy management Kingstonrsquos water and wastewater system is an interconnected energy network Changes that

are made are not localized they often affect other parts of the system This is a significant

factor when it comes to facilities that are governed by highly regulated standards Itrsquos not just

the efficiency of the system under consideration we need to consider efficiency as well as

quality quantity and safety ecause of this it doesnrsquot make sense to bring in one person to

find analyze and implement measures for the whole system It was absolutely necessary to

establish a team There needed to be a merger between the knowledge of energy efficiency

and the knowledge of process management The team that was selected is led by the Director

of Water and Wastewater Operations and is comprised of four Supervisors and the Energy

Management Associate which is currently an Energy Systems Engineering Technology graduate

from St Lawrence College This team was established to find and evaluate viability of potential

investments quantify the potential savings for these investments and ensure implementation

of cost effective CDM measures throughout the system This team meets regularly to discuss

the viability of measures and to suggest ideas and possible opportunities to be investigated

Existing Strategy for Finding Conservation Measures Our current strategy for finding potential measures consists of four ongoing steps

1 Metering Improvements

2 Data analytics

10

3 Facility assessments 4 Increasing awareness and Gathering suggestions

Metering Improvements

Metering improvements are made on a consistent basis in order to increase the quality and

quantity of our facility data This will allow us to perform more accurate analyses having better

correlation strengths and ultimately provide us with more confidence in making conclusions

from the data

Data Analytics

For some of our larger facilities wersquove implemented ongoing data analytics to better aide us in

managing each facilityrsquos energy consumption The analyses include breaking down the energy

usage into its key components and looking for excessive consumption or performance

anomalies There is more on our data analytics for the facilities in Appendix A

Facility Assessments

Facility assessments are performed on the facilities that have been red flagged by data analytics

or where a potential measure has been proposed by staff The assessments are used to confirm

the causes of the anomalies or the excessive consumption and ultimately establish the ldquobase

caserdquo for a measure From here there are usually several DM measures that could be

implemented The possible measures are noted for further evaluation

Increasing Awareness and Gathering Suggestions

Increasing awareness and gathering suggestions from operational staff is an excellent way to

establish a solid list of potential measures The general staff are in the facilities day in and day

out and offer a wealth of knowledge and opinion on operational issues design constraints and

process inefficiencies

Existing Strategy for Analyzing and Implementing Measures Once a list of potential measures has been identified they need to be evaluated on their

operational impact and economic benefit This process consists of 6 general steps

1 Financial and Operational Benefits Analysis

2 Presentation of Findings

3 Establishing operational feasibility

4 Incentive pre-approval

5 Implementation

6 Incentive post-approval

11

Financial and Operational Benefits Analysis

A financial analysis is performed on each of the measures to establish their economic viability

The Energy management Associate works in collaboration with the Conservation and Demand

Management department to determine eligibility and EMampV requirements for potential

incentive applications The lifetime energy savings capital and installation costs as well as the

possible upfront incentive contribution are calculated and a payback period is determined

Payback periods of up to 5 years are considered but will be implemented according to order of

importance Economic viability is not the only factor considered there may also be operational

benefits or detriments to quality quantity or safety to weigh in on for example a newer higher

efficiency motor is also safer and more reliable or a cheaper measure with a shorter payback

may put limitations on the system These and similar advantages and disadvantages are noted

in the analysis

Presentation of Findings

The financial and operational benefits analysis is presented in business case format by the

Energy Management Associate to the Director of water and wastewater Operations The risk

payback and benefits are all considered and a decision is made whether to pursue

implementation of the measure

Establishing Operational Feasibility

Once it has been decided to pursue implementation operational feasibility must be

established This is done at the energy management meetings where the cost-effective

measures are discussed with the operational team to consider potential quality quantity or

safety concerns This will quite often lead to further investigation of operational impact

including research and additional site assessments Depending on the complexity andor

economic payback of the measure it may also be reasonable to seek additional advice from a

consultancy or a specialist Measures that are deemed both cost effective and operationally

feasible are agreed upon and move on to the next step

Incentive Pre-Application

Pre-project applications for financial incentives are made at this point Incentives for eligible

measures are calculated based on potential energy or demand savings Once the measure is

approved implementation can begin

Implementation

The cost-effective operationally feasible and incentive pre-approved measures get added to

the capital budget for the water and wastewater utilities At this point the measure will be

implemented based on order of importance factoring in emergency and operationalbudgetary

limitations

12

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

me

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ess

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al

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er

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w Vo

lum

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GHG

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Insu

ffici

ent F

low

Dat

a

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6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Utilities Kingstonrsquos Water and Wastewater Conservation and Demand Management Plan

Current Energy Situation o Leadership and structure of current energy management o Existing strategy for finding conservation measures

o Existing strategy for analyzing and implementing conservation measures

o Energy benchmarks

Leadership and Structure of Current Energy management Kingstonrsquos water and wastewater system is an interconnected energy network Changes that

are made are not localized they often affect other parts of the system This is a significant

factor when it comes to facilities that are governed by highly regulated standards Itrsquos not just

the efficiency of the system under consideration we need to consider efficiency as well as

quality quantity and safety ecause of this it doesnrsquot make sense to bring in one person to

find analyze and implement measures for the whole system It was absolutely necessary to

establish a team There needed to be a merger between the knowledge of energy efficiency

and the knowledge of process management The team that was selected is led by the Director

of Water and Wastewater Operations and is comprised of four Supervisors and the Energy

Management Associate which is currently an Energy Systems Engineering Technology graduate

from St Lawrence College This team was established to find and evaluate viability of potential

investments quantify the potential savings for these investments and ensure implementation

of cost effective CDM measures throughout the system This team meets regularly to discuss

the viability of measures and to suggest ideas and possible opportunities to be investigated

Existing Strategy for Finding Conservation Measures Our current strategy for finding potential measures consists of four ongoing steps

1 Metering Improvements

2 Data analytics

10

3 Facility assessments 4 Increasing awareness and Gathering suggestions

Metering Improvements

Metering improvements are made on a consistent basis in order to increase the quality and

quantity of our facility data This will allow us to perform more accurate analyses having better

correlation strengths and ultimately provide us with more confidence in making conclusions

from the data

Data Analytics

For some of our larger facilities wersquove implemented ongoing data analytics to better aide us in

managing each facilityrsquos energy consumption The analyses include breaking down the energy

usage into its key components and looking for excessive consumption or performance

anomalies There is more on our data analytics for the facilities in Appendix A

Facility Assessments

Facility assessments are performed on the facilities that have been red flagged by data analytics

or where a potential measure has been proposed by staff The assessments are used to confirm

the causes of the anomalies or the excessive consumption and ultimately establish the ldquobase

caserdquo for a measure From here there are usually several DM measures that could be

implemented The possible measures are noted for further evaluation

Increasing Awareness and Gathering Suggestions

Increasing awareness and gathering suggestions from operational staff is an excellent way to

establish a solid list of potential measures The general staff are in the facilities day in and day

out and offer a wealth of knowledge and opinion on operational issues design constraints and

process inefficiencies

Existing Strategy for Analyzing and Implementing Measures Once a list of potential measures has been identified they need to be evaluated on their

operational impact and economic benefit This process consists of 6 general steps

1 Financial and Operational Benefits Analysis

2 Presentation of Findings

3 Establishing operational feasibility

4 Incentive pre-approval

5 Implementation

6 Incentive post-approval

11

Financial and Operational Benefits Analysis

A financial analysis is performed on each of the measures to establish their economic viability

The Energy management Associate works in collaboration with the Conservation and Demand

Management department to determine eligibility and EMampV requirements for potential

incentive applications The lifetime energy savings capital and installation costs as well as the

possible upfront incentive contribution are calculated and a payback period is determined

Payback periods of up to 5 years are considered but will be implemented according to order of

importance Economic viability is not the only factor considered there may also be operational

benefits or detriments to quality quantity or safety to weigh in on for example a newer higher

efficiency motor is also safer and more reliable or a cheaper measure with a shorter payback

may put limitations on the system These and similar advantages and disadvantages are noted

in the analysis

Presentation of Findings

The financial and operational benefits analysis is presented in business case format by the

Energy Management Associate to the Director of water and wastewater Operations The risk

payback and benefits are all considered and a decision is made whether to pursue

implementation of the measure

Establishing Operational Feasibility

Once it has been decided to pursue implementation operational feasibility must be

established This is done at the energy management meetings where the cost-effective

measures are discussed with the operational team to consider potential quality quantity or

safety concerns This will quite often lead to further investigation of operational impact

including research and additional site assessments Depending on the complexity andor

economic payback of the measure it may also be reasonable to seek additional advice from a

consultancy or a specialist Measures that are deemed both cost effective and operationally

feasible are agreed upon and move on to the next step

Incentive Pre-Application

Pre-project applications for financial incentives are made at this point Incentives for eligible

measures are calculated based on potential energy or demand savings Once the measure is

approved implementation can begin

Implementation

The cost-effective operationally feasible and incentive pre-approved measures get added to

the capital budget for the water and wastewater utilities At this point the measure will be

implemented based on order of importance factoring in emergency and operationalbudgetary

limitations

12

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

me

Addr

ess

Post

al

Code

Acco

unt

Num

ber

Met

er

Num

ber

2012

Flo

w Vo

lum

es

(meg

alite

rs)

2012

Ene

rgy

Cons

umpt

ion

(kW

h)

2012

Nat

ural

G

as

Cons

umpt

ion

(m3 )

2011

ek

Wh

per

meg

alite

r

2012

ek

Wh

per

meg

alite

r

2012

kg

of

GHG

Note

s

BAR

RET

T C

T SE

WAG

E PU

MPI

NG S

TATI

ON

723

BAR

RET

T C

TK7

L 5H

630

0742

117

J046

533

1354

1062

530

6678

1020

0BA

TH -

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

4054

BAT

H R

DK7

M 4

Y430

0242

741

J298

4685

-18

400

201

-17

7In

suffi

cien

t Flo

w D

ata

BATH

- LO

WER

DR

IVE

SEW

AGE

PUM

PING

STA

TIO

N41

46 L

OW

ER D

RK7

M 7

K130

0564

743

J203

8976

1070

60

2768

68BA

TH R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1298

BAT

H R

D

K7M

4X3

3001

2424

3J0

8580

621

433

409

9213

416

133

81C

ANA

SEW

AGE

TREA

TMEN

T PL

ANT

1756

CAN

A BL

VDK7

L 4V

330

0870

389

J073

092

2969

510

056

123

8866

73C

ANA

WAT

ER T

RAE

TMEN

T PL

ANT

1753

CAN

A BL

VDK7

L 4V

330

0427

870

J263

6370

1025

132

028

2025

0424

13C

ATAR

AQUI

BAY

SEW

AGE

TREA

TMEN

T PL

ANT

409

FRO

NT R

DK7

M 5

R8

3009

5783

1J1

3050

5492

9236

7300

516

9403

534

589

6728

81C

OLL

INS

BAY

RD

BO

OST

ER S

TATI

ON

865

CO

LLIN

S BA

Y R

DK7

M 5

H130

0139

698

J298

9955

1174

860

4864

656

719

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1205

CO

LLIN

S BA

Y R

DK7

P 2X

630

0234

460

J298

4634

2528

560

211

227

4C

OVE

RD

ALE

DR

SEW

AGE

PUM

PING

STA

TIO

N10

66 C

OVE

RD

ALE

K7M

8X7

3009

2590

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9847

2065

017

459

026

2716

76C

RER

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LVD

SEW

AGE

PUM

PING

STA

TIO

N46

CR

ERAR

K7M

7C

630

0849

074

J298

9250

541

6015

819

177

115

6137

DAY

S R

D S

EWAG

E PU

MPI

NG S

TATI

ON

419

DAY

S R

D

K7M

3R

530

1022

951

J029

146

7173

4978

800

7469

4779

6HI

LLVI

EW R

D S

EWAG

E PU

MPI

NG S

TATI

ON

740

HILL

VIEW

RD

K7M

5C

730

0319

322

J318

9324

682

1433

000

160

210

1375

7HW

Y 15

SEW

AGE

PUM

PING

STA

TIO

N28

9 HW

Y 15

K7L

5H6

3007

5071

7J2

9803

3777

2295

10

179

297

2203

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OO

DS

CIR

CLE

SEW

AGE

PUM

PING

STA

TIO

N84

KEN

WO

OD

S C

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K 6Y

230

0932

452

J298

9643

192

8941

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4685

8LA

KESH

OR

E BL

VD S

EWAG

E PU

MPI

NG S

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187

LAKE

SHO

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K7M

6Z6

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9415

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9892

4930

836

930

011

512

035

45O

CO

NNO

R D

R W

ATER

RES

ERVO

IR

590

OC

ONN

OR

DR

K7

P 1N

3-

-36

34-

4684

12-

8856

Insu

ffici

ent E

nerg

y D

ata

OLD

CO

LONY

RD

BO

OST

ER S

TATI

ON

901

OLD

CO

LONY

RD

K7

P 1S

130

0330

058

J298

9990

-25

025

0-

-24

02In

suffi

cien

t Flo

w D

ata

POIN

T PL

EASA

NT W

ATER

TR

AETM

ENT

PLAN

T80

SUN

NY A

CR

ES R

DK7

M 3

N230

0656

583

J072

041

7870

2987

050

039

338

028

6757

PRO

GR

ESS

AVE

WAT

ER R

ESER

VOIR

73

0 PR

OG

RES

S AV

EK7

M 4

W9

2990

3100

2J3

2436

0661

1294

500

2597

2127

1242

7PU

RD

Y C

T BO

OST

ER S

TATI

ON

896

PUR

DY

CT

K7M

3M

930

1134

575

J298

9644

-52

163

043

3-

5008

Insu

ffici

ent F

low

Dat

aR

ANKI

N ST

SEW

AGE

PUM

PING

STA

TIO

N60

2 R

ANKI

N ST

K7

M 7

L430

1269

720

J203

9867

3585

140

231

241

817

RAV

ENSV

IEW

SEW

AGE

TREA

TMEN

T PL

ANT

947

HWY

2 E

AST

K7L

4V1

3003

0522

7J0

9930

120

833

3973

468

1706

9037

227

870

4160

SCHO

ONE

R D

R S

EWAG

E PU

MPI

NG S

TATI

ON

22 S

CHO

ONE

R D

RK7

K 7J

830

0337

083

J298

9650

387

3367

08

932

3W

ESTB

RO

OK

RD

SEW

AGE

PUM

PING

STA

TIO

N11

43 W

ESTB

RO

OK

RD

K7P

2V7

3005

2778

0J2

9846

3359

1059

00

152

181

1017

DAL

TON

AVE

SEW

AGE

PUM

PING

STA

TIO

N26

6 D

ALTO

N AV

EK7

K 6C

311

0795

E513

8432

1351

2968

32

3126

142

170

5515

5G

REE

NVIE

W D

R S

EWAG

E PU

MPI

NG S

TATI

ON

38 G

REE

NVIE

W D

RK7

M 7

T511

4356

E864

0013

212

754

5323

60

1197

1224

HATT

ER S

T SE

WAG

E PU

MPI

NG S

TATI

ON

91 H

ATTE

R S

TK7

M 2

L620

4468

E661

032

315

4134

089

020

517

530

JAM

ES S

T BO

OST

ER S

TATI

ON

229

JAM

ES S

TK7

K 1Z

516

7927

2783

302

90

310

162

2618

7JA

MES

ST

SEW

AGE

PUM

PING

STA

TIO

N21

3 JA

MES

ST

K7K

1Z5

536

1995

805

254

022

737

319

160

KING

- C

OLL

ING

WO

OD

CSO

270

KING

ST

K7L

3A9

2042

02E8

5352

296

2754

574

925

012

993

2644

KING

- EL

EVAT

OR

BAY

SEW

AGE

PUM

PING

STA

TIO

N11

00 K

ING

ST

WK7

M 8

J219

2066

E865

5611

1572

382

581

017

0914

3615

09KI

NG -

POR

TSM

OUT

H SE

WAG

E PU

MPI

NG S

TATI

ON

621

KING

ST

WK7

M 2

E711

8373

E527

4617

0220

7015

084

563

1713

616

131

816

KING

ST

WAT

ER T

RAE

TMEN

T PL

ANT

300

KING

ST

WK7

L 2X

111

8371

E493

9017

479

5729

033

013

4879

935

535

764

2246

KING

ST

SEW

AGE

PUM

PING

STA

TIO

N AN

D C

SO62

KIN

G S

T W

K7L

0A6

1183

25E8

7971

7296

3453

438

169

1860

611

474

6832

9M

OR

TON

ST S

EWAG

E PU

MPI

NG S

TATI

ON

1 M

OR

TON

STK7

L 2X

412

2446

E860

1614

1228

053

142

069

188

011

79NO

TCH

HILL

RD

SEW

AGE

PUM

PING

STA

TIO

N60

NO

TCH

HILL

RD

K7M

2W

916

7937

E766

140

721

1072

581

081

612

027

OR

CHA

RD

- EM

MA

MAR

TIN

CSO

7 O

RC

HAR

D S

TK7

K 2Z

420

4183

E854

24-

1630

529

30

--

1565

Insu

ffici

ent F

low

Dat

aPA

LAC

E R

D S

EWAG

E PU

MPI

NG S

TATI

ON

270

PALA

CE

RD

K7L

4T2

2038

66E8

6019

358

1151

904

837

016

3211

06R

IVER

ST

SEW

AGE

PUM

PING

STA

TIO

N12

RIV

ER S

TK7

K 2A

120

7678

E523

9117

323

3064

276

225

5192

170

180

3039

86TH

IRD

AVE

NUE

WAT

ER R

ESER

VOIR

14

1 TH

IRD

AVE

K7K

2J8

1340

41E5

5648

1276

2005

032

285

013

315

719

248

YONG

E ST

SEW

AGE

PUM

PING

STA

TIO

N20

YO

NGE

STK7

M 1

E313

8843

E661

01-

477

3640

816

025

-46

Insu

ffici

ent F

low

Dat

a

1030

06E8

6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

3 Facility assessments 4 Increasing awareness and Gathering suggestions

Metering Improvements

Metering improvements are made on a consistent basis in order to increase the quality and

quantity of our facility data This will allow us to perform more accurate analyses having better

correlation strengths and ultimately provide us with more confidence in making conclusions

from the data

Data Analytics

For some of our larger facilities wersquove implemented ongoing data analytics to better aide us in

managing each facilityrsquos energy consumption The analyses include breaking down the energy

usage into its key components and looking for excessive consumption or performance

anomalies There is more on our data analytics for the facilities in Appendix A

Facility Assessments

Facility assessments are performed on the facilities that have been red flagged by data analytics

or where a potential measure has been proposed by staff The assessments are used to confirm

the causes of the anomalies or the excessive consumption and ultimately establish the ldquobase

caserdquo for a measure From here there are usually several DM measures that could be

implemented The possible measures are noted for further evaluation

Increasing Awareness and Gathering Suggestions

Increasing awareness and gathering suggestions from operational staff is an excellent way to

establish a solid list of potential measures The general staff are in the facilities day in and day

out and offer a wealth of knowledge and opinion on operational issues design constraints and

process inefficiencies

Existing Strategy for Analyzing and Implementing Measures Once a list of potential measures has been identified they need to be evaluated on their

operational impact and economic benefit This process consists of 6 general steps

1 Financial and Operational Benefits Analysis

2 Presentation of Findings

3 Establishing operational feasibility

4 Incentive pre-approval

5 Implementation

6 Incentive post-approval

11

Financial and Operational Benefits Analysis

A financial analysis is performed on each of the measures to establish their economic viability

The Energy management Associate works in collaboration with the Conservation and Demand

Management department to determine eligibility and EMampV requirements for potential

incentive applications The lifetime energy savings capital and installation costs as well as the

possible upfront incentive contribution are calculated and a payback period is determined

Payback periods of up to 5 years are considered but will be implemented according to order of

importance Economic viability is not the only factor considered there may also be operational

benefits or detriments to quality quantity or safety to weigh in on for example a newer higher

efficiency motor is also safer and more reliable or a cheaper measure with a shorter payback

may put limitations on the system These and similar advantages and disadvantages are noted

in the analysis

Presentation of Findings

The financial and operational benefits analysis is presented in business case format by the

Energy Management Associate to the Director of water and wastewater Operations The risk

payback and benefits are all considered and a decision is made whether to pursue

implementation of the measure

Establishing Operational Feasibility

Once it has been decided to pursue implementation operational feasibility must be

established This is done at the energy management meetings where the cost-effective

measures are discussed with the operational team to consider potential quality quantity or

safety concerns This will quite often lead to further investigation of operational impact

including research and additional site assessments Depending on the complexity andor

economic payback of the measure it may also be reasonable to seek additional advice from a

consultancy or a specialist Measures that are deemed both cost effective and operationally

feasible are agreed upon and move on to the next step

Incentive Pre-Application

Pre-project applications for financial incentives are made at this point Incentives for eligible

measures are calculated based on potential energy or demand savings Once the measure is

approved implementation can begin

Implementation

The cost-effective operationally feasible and incentive pre-approved measures get added to

the capital budget for the water and wastewater utilities At this point the measure will be

implemented based on order of importance factoring in emergency and operationalbudgetary

limitations

12

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

me

Addr

ess

Post

al

Code

Acco

unt

Num

ber

Met

er

Num

ber

2012

Flo

w Vo

lum

es

(meg

alite

rs)

2012

Ene

rgy

Cons

umpt

ion

(kW

h)

2012

Nat

ural

G

as

Cons

umpt

ion

(m3 )

2011

ek

Wh

per

meg

alite

r

2012

ek

Wh

per

meg

alite

r

2012

kg

of

GHG

Note

s

BAR

RET

T C

T SE

WAG

E PU

MPI

NG S

TATI

ON

723

BAR

RET

T C

TK7

L 5H

630

0742

117

J046

533

1354

1062

530

6678

1020

0BA

TH -

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

4054

BAT

H R

DK7

M 4

Y430

0242

741

J298

4685

-18

400

201

-17

7In

suffi

cien

t Flo

w D

ata

BATH

- LO

WER

DR

IVE

SEW

AGE

PUM

PING

STA

TIO

N41

46 L

OW

ER D

RK7

M 7

K130

0564

743

J203

8976

1070

60

2768

68BA

TH R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1298

BAT

H R

D

K7M

4X3

3001

2424

3J0

8580

621

433

409

9213

416

133

81C

ANA

SEW

AGE

TREA

TMEN

T PL

ANT

1756

CAN

A BL

VDK7

L 4V

330

0870

389

J073

092

2969

510

056

123

8866

73C

ANA

WAT

ER T

RAE

TMEN

T PL

ANT

1753

CAN

A BL

VDK7

L 4V

330

0427

870

J263

6370

1025

132

028

2025

0424

13C

ATAR

AQUI

BAY

SEW

AGE

TREA

TMEN

T PL

ANT

409

FRO

NT R

DK7

M 5

R8

3009

5783

1J1

3050

5492

9236

7300

516

9403

534

589

6728

81C

OLL

INS

BAY

RD

BO

OST

ER S

TATI

ON

865

CO

LLIN

S BA

Y R

DK7

M 5

H130

0139

698

J298

9955

1174

860

4864

656

719

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1205

CO

LLIN

S BA

Y R

DK7

P 2X

630

0234

460

J298

4634

2528

560

211

227

4C

OVE

RD

ALE

DR

SEW

AGE

PUM

PING

STA

TIO

N10

66 C

OVE

RD

ALE

K7M

8X7

3009

2590

1J2

9847

2065

017

459

026

2716

76C

RER

AR B

LVD

SEW

AGE

PUM

PING

STA

TIO

N46

CR

ERAR

K7M

7C

630

0849

074

J298

9250

541

6015

819

177

115

6137

DAY

S R

D S

EWAG

E PU

MPI

NG S

TATI

ON

419

DAY

S R

D

K7M

3R

530

1022

951

J029

146

7173

4978

800

7469

4779

6HI

LLVI

EW R

D S

EWAG

E PU

MPI

NG S

TATI

ON

740

HILL

VIEW

RD

K7M

5C

730

0319

322

J318

9324

682

1433

000

160

210

1375

7HW

Y 15

SEW

AGE

PUM

PING

STA

TIO

N28

9 HW

Y 15

K7L

5H6

3007

5071

7J2

9803

3777

2295

10

179

297

2203

KENW

OO

DS

CIR

CLE

SEW

AGE

PUM

PING

STA

TIO

N84

KEN

WO

OD

S C

IRK7

K 6Y

230

0932

452

J298

9643

192

8941

046

4685

8LA

KESH

OR

E BL

VD S

EWAG

E PU

MPI

NG S

TATI

ON

187

LAKE

SHO

RE

BLVD

K7M

6Z6

3011

9415

4J2

9892

4930

836

930

011

512

035

45O

CO

NNO

R D

R W

ATER

RES

ERVO

IR

590

OC

ONN

OR

DR

K7

P 1N

3-

-36

34-

4684

12-

8856

Insu

ffici

ent E

nerg

y D

ata

OLD

CO

LONY

RD

BO

OST

ER S

TATI

ON

901

OLD

CO

LONY

RD

K7

P 1S

130

0330

058

J298

9990

-25

025

0-

-24

02In

suffi

cien

t Flo

w D

ata

POIN

T PL

EASA

NT W

ATER

TR

AETM

ENT

PLAN

T80

SUN

NY A

CR

ES R

DK7

M 3

N230

0656

583

J072

041

7870

2987

050

039

338

028

6757

PRO

GR

ESS

AVE

WAT

ER R

ESER

VOIR

73

0 PR

OG

RES

S AV

EK7

M 4

W9

2990

3100

2J3

2436

0661

1294

500

2597

2127

1242

7PU

RD

Y C

T BO

OST

ER S

TATI

ON

896

PUR

DY

CT

K7M

3M

930

1134

575

J298

9644

-52

163

043

3-

5008

Insu

ffici

ent F

low

Dat

aR

ANKI

N ST

SEW

AGE

PUM

PING

STA

TIO

N60

2 R

ANKI

N ST

K7

M 7

L430

1269

720

J203

9867

3585

140

231

241

817

RAV

ENSV

IEW

SEW

AGE

TREA

TMEN

T PL

ANT

947

HWY

2 E

AST

K7L

4V1

3003

0522

7J0

9930

120

833

3973

468

1706

9037

227

870

4160

SCHO

ONE

R D

R S

EWAG

E PU

MPI

NG S

TATI

ON

22 S

CHO

ONE

R D

RK7

K 7J

830

0337

083

J298

9650

387

3367

08

932

3W

ESTB

RO

OK

RD

SEW

AGE

PUM

PING

STA

TIO

N11

43 W

ESTB

RO

OK

RD

K7P

2V7

3005

2778

0J2

9846

3359

1059

00

152

181

1017

DAL

TON

AVE

SEW

AGE

PUM

PING

STA

TIO

N26

6 D

ALTO

N AV

EK7

K 6C

311

0795

E513

8432

1351

2968

32

3126

142

170

5515

5G

REE

NVIE

W D

R S

EWAG

E PU

MPI

NG S

TATI

ON

38 G

REE

NVIE

W D

RK7

M 7

T511

4356

E864

0013

212

754

5323

60

1197

1224

HATT

ER S

T SE

WAG

E PU

MPI

NG S

TATI

ON

91 H

ATTE

R S

TK7

M 2

L620

4468

E661

032

315

4134

089

020

517

530

JAM

ES S

T BO

OST

ER S

TATI

ON

229

JAM

ES S

TK7

K 1Z

516

7927

2783

302

90

310

162

2618

7JA

MES

ST

SEW

AGE

PUM

PING

STA

TIO

N21

3 JA

MES

ST

K7K

1Z5

536

1995

805

254

022

737

319

160

KING

- C

OLL

ING

WO

OD

CSO

270

KING

ST

K7L

3A9

2042

02E8

5352

296

2754

574

925

012

993

2644

KING

- EL

EVAT

OR

BAY

SEW

AGE

PUM

PING

STA

TIO

N11

00 K

ING

ST

WK7

M 8

J219

2066

E865

5611

1572

382

581

017

0914

3615

09KI

NG -

POR

TSM

OUT

H SE

WAG

E PU

MPI

NG S

TATI

ON

621

KING

ST

WK7

M 2

E711

8373

E527

4617

0220

7015

084

563

1713

616

131

816

KING

ST

WAT

ER T

RAE

TMEN

T PL

ANT

300

KING

ST

WK7

L 2X

111

8371

E493

9017

479

5729

033

013

4879

935

535

764

2246

KING

ST

SEW

AGE

PUM

PING

STA

TIO

N AN

D C

SO62

KIN

G S

T W

K7L

0A6

1183

25E8

7971

7296

3453

438

169

1860

611

474

6832

9M

OR

TON

ST S

EWAG

E PU

MPI

NG S

TATI

ON

1 M

OR

TON

STK7

L 2X

412

2446

E860

1614

1228

053

142

069

188

011

79NO

TCH

HILL

RD

SEW

AGE

PUM

PING

STA

TIO

N60

NO

TCH

HILL

RD

K7M

2W

916

7937

E766

140

721

1072

581

081

612

027

OR

CHA

RD

- EM

MA

MAR

TIN

CSO

7 O

RC

HAR

D S

TK7

K 2Z

420

4183

E854

24-

1630

529

30

--

1565

Insu

ffici

ent F

low

Dat

aPA

LAC

E R

D S

EWAG

E PU

MPI

NG S

TATI

ON

270

PALA

CE

RD

K7L

4T2

2038

66E8

6019

358

1151

904

837

016

3211

06R

IVER

ST

SEW

AGE

PUM

PING

STA

TIO

N12

RIV

ER S

TK7

K 2A

120

7678

E523

9117

323

3064

276

225

5192

170

180

3039

86TH

IRD

AVE

NUE

WAT

ER R

ESER

VOIR

14

1 TH

IRD

AVE

K7K

2J8

1340

41E5

5648

1276

2005

032

285

013

315

719

248

YONG

E ST

SEW

AGE

PUM

PING

STA

TIO

N20

YO

NGE

STK7

M 1

E313

8843

E661

01-

477

3640

816

025

-46

Insu

ffici

ent F

low

Dat

a

1030

06E8

6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Financial and Operational Benefits Analysis

A financial analysis is performed on each of the measures to establish their economic viability

The Energy management Associate works in collaboration with the Conservation and Demand

Management department to determine eligibility and EMampV requirements for potential

incentive applications The lifetime energy savings capital and installation costs as well as the

possible upfront incentive contribution are calculated and a payback period is determined

Payback periods of up to 5 years are considered but will be implemented according to order of

importance Economic viability is not the only factor considered there may also be operational

benefits or detriments to quality quantity or safety to weigh in on for example a newer higher

efficiency motor is also safer and more reliable or a cheaper measure with a shorter payback

may put limitations on the system These and similar advantages and disadvantages are noted

in the analysis

Presentation of Findings

The financial and operational benefits analysis is presented in business case format by the

Energy Management Associate to the Director of water and wastewater Operations The risk

payback and benefits are all considered and a decision is made whether to pursue

implementation of the measure

Establishing Operational Feasibility

Once it has been decided to pursue implementation operational feasibility must be

established This is done at the energy management meetings where the cost-effective

measures are discussed with the operational team to consider potential quality quantity or

safety concerns This will quite often lead to further investigation of operational impact

including research and additional site assessments Depending on the complexity andor

economic payback of the measure it may also be reasonable to seek additional advice from a

consultancy or a specialist Measures that are deemed both cost effective and operationally

feasible are agreed upon and move on to the next step

Incentive Pre-Application

Pre-project applications for financial incentives are made at this point Incentives for eligible

measures are calculated based on potential energy or demand savings Once the measure is

approved implementation can begin

Implementation

The cost-effective operationally feasible and incentive pre-approved measures get added to

the capital budget for the water and wastewater utilities At this point the measure will be

implemented based on order of importance factoring in emergency and operationalbudgetary

limitations

12

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

me

Addr

ess

Post

al

Code

Acco

unt

Num

ber

Met

er

Num

ber

2012

Flo

w Vo

lum

es

(meg

alite

rs)

2012

Ene

rgy

Cons

umpt

ion

(kW

h)

2012

Nat

ural

G

as

Cons

umpt

ion

(m3 )

2011

ek

Wh

per

meg

alite

r

2012

ek

Wh

per

meg

alite

r

2012

kg

of

GHG

Note

s

BAR

RET

T C

T SE

WAG

E PU

MPI

NG S

TATI

ON

723

BAR

RET

T C

TK7

L 5H

630

0742

117

J046

533

1354

1062

530

6678

1020

0BA

TH -

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

4054

BAT

H R

DK7

M 4

Y430

0242

741

J298

4685

-18

400

201

-17

7In

suffi

cien

t Flo

w D

ata

BATH

- LO

WER

DR

IVE

SEW

AGE

PUM

PING

STA

TIO

N41

46 L

OW

ER D

RK7

M 7

K130

0564

743

J203

8976

1070

60

2768

68BA

TH R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1298

BAT

H R

D

K7M

4X3

3001

2424

3J0

8580

621

433

409

9213

416

133

81C

ANA

SEW

AGE

TREA

TMEN

T PL

ANT

1756

CAN

A BL

VDK7

L 4V

330

0870

389

J073

092

2969

510

056

123

8866

73C

ANA

WAT

ER T

RAE

TMEN

T PL

ANT

1753

CAN

A BL

VDK7

L 4V

330

0427

870

J263

6370

1025

132

028

2025

0424

13C

ATAR

AQUI

BAY

SEW

AGE

TREA

TMEN

T PL

ANT

409

FRO

NT R

DK7

M 5

R8

3009

5783

1J1

3050

5492

9236

7300

516

9403

534

589

6728

81C

OLL

INS

BAY

RD

BO

OST

ER S

TATI

ON

865

CO

LLIN

S BA

Y R

DK7

M 5

H130

0139

698

J298

9955

1174

860

4864

656

719

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1205

CO

LLIN

S BA

Y R

DK7

P 2X

630

0234

460

J298

4634

2528

560

211

227

4C

OVE

RD

ALE

DR

SEW

AGE

PUM

PING

STA

TIO

N10

66 C

OVE

RD

ALE

K7M

8X7

3009

2590

1J2

9847

2065

017

459

026

2716

76C

RER

AR B

LVD

SEW

AGE

PUM

PING

STA

TIO

N46

CR

ERAR

K7M

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630

0849

074

J298

9250

541

6015

819

177

115

6137

DAY

S R

D S

EWAG

E PU

MPI

NG S

TATI

ON

419

DAY

S R

D

K7M

3R

530

1022

951

J029

146

7173

4978

800

7469

4779

6HI

LLVI

EW R

D S

EWAG

E PU

MPI

NG S

TATI

ON

740

HILL

VIEW

RD

K7M

5C

730

0319

322

J318

9324

682

1433

000

160

210

1375

7HW

Y 15

SEW

AGE

PUM

PING

STA

TIO

N28

9 HW

Y 15

K7L

5H6

3007

5071

7J2

9803

3777

2295

10

179

297

2203

KENW

OO

DS

CIR

CLE

SEW

AGE

PUM

PING

STA

TIO

N84

KEN

WO

OD

S C

IRK7

K 6Y

230

0932

452

J298

9643

192

8941

046

4685

8LA

KESH

OR

E BL

VD S

EWAG

E PU

MPI

NG S

TATI

ON

187

LAKE

SHO

RE

BLVD

K7M

6Z6

3011

9415

4J2

9892

4930

836

930

011

512

035

45O

CO

NNO

R D

R W

ATER

RES

ERVO

IR

590

OC

ONN

OR

DR

K7

P 1N

3-

-36

34-

4684

12-

8856

Insu

ffici

ent E

nerg

y D

ata

OLD

CO

LONY

RD

BO

OST

ER S

TATI

ON

901

OLD

CO

LONY

RD

K7

P 1S

130

0330

058

J298

9990

-25

025

0-

-24

02In

suffi

cien

t Flo

w D

ata

POIN

T PL

EASA

NT W

ATER

TR

AETM

ENT

PLAN

T80

SUN

NY A

CR

ES R

DK7

M 3

N230

0656

583

J072

041

7870

2987

050

039

338

028

6757

PRO

GR

ESS

AVE

WAT

ER R

ESER

VOIR

73

0 PR

OG

RES

S AV

EK7

M 4

W9

2990

3100

2J3

2436

0661

1294

500

2597

2127

1242

7PU

RD

Y C

T BO

OST

ER S

TATI

ON

896

PUR

DY

CT

K7M

3M

930

1134

575

J298

9644

-52

163

043

3-

5008

Insu

ffici

ent F

low

Dat

aR

ANKI

N ST

SEW

AGE

PUM

PING

STA

TIO

N60

2 R

ANKI

N ST

K7

M 7

L430

1269

720

J203

9867

3585

140

231

241

817

RAV

ENSV

IEW

SEW

AGE

TREA

TMEN

T PL

ANT

947

HWY

2 E

AST

K7L

4V1

3003

0522

7J0

9930

120

833

3973

468

1706

9037

227

870

4160

SCHO

ONE

R D

R S

EWAG

E PU

MPI

NG S

TATI

ON

22 S

CHO

ONE

R D

RK7

K 7J

830

0337

083

J298

9650

387

3367

08

932

3W

ESTB

RO

OK

RD

SEW

AGE

PUM

PING

STA

TIO

N11

43 W

ESTB

RO

OK

RD

K7P

2V7

3005

2778

0J2

9846

3359

1059

00

152

181

1017

DAL

TON

AVE

SEW

AGE

PUM

PING

STA

TIO

N26

6 D

ALTO

N AV

EK7

K 6C

311

0795

E513

8432

1351

2968

32

3126

142

170

5515

5G

REE

NVIE

W D

R S

EWAG

E PU

MPI

NG S

TATI

ON

38 G

REE

NVIE

W D

RK7

M 7

T511

4356

E864

0013

212

754

5323

60

1197

1224

HATT

ER S

T SE

WAG

E PU

MPI

NG S

TATI

ON

91 H

ATTE

R S

TK7

M 2

L620

4468

E661

032

315

4134

089

020

517

530

JAM

ES S

T BO

OST

ER S

TATI

ON

229

JAM

ES S

TK7

K 1Z

516

7927

2783

302

90

310

162

2618

7JA

MES

ST

SEW

AGE

PUM

PING

STA

TIO

N21

3 JA

MES

ST

K7K

1Z5

536

1995

805

254

022

737

319

160

KING

- C

OLL

ING

WO

OD

CSO

270

KING

ST

K7L

3A9

2042

02E8

5352

296

2754

574

925

012

993

2644

KING

- EL

EVAT

OR

BAY

SEW

AGE

PUM

PING

STA

TIO

N11

00 K

ING

ST

WK7

M 8

J219

2066

E865

5611

1572

382

581

017

0914

3615

09KI

NG -

POR

TSM

OUT

H SE

WAG

E PU

MPI

NG S

TATI

ON

621

KING

ST

WK7

M 2

E711

8373

E527

4617

0220

7015

084

563

1713

616

131

816

KING

ST

WAT

ER T

RAE

TMEN

T PL

ANT

300

KING

ST

WK7

L 2X

111

8371

E493

9017

479

5729

033

013

4879

935

535

764

2246

KING

ST

SEW

AGE

PUM

PING

STA

TIO

N AN

D C

SO62

KIN

G S

T W

K7L

0A6

1183

25E8

7971

7296

3453

438

169

1860

611

474

6832

9M

OR

TON

ST S

EWAG

E PU

MPI

NG S

TATI

ON

1 M

OR

TON

STK7

L 2X

412

2446

E860

1614

1228

053

142

069

188

011

79NO

TCH

HILL

RD

SEW

AGE

PUM

PING

STA

TIO

N60

NO

TCH

HILL

RD

K7M

2W

916

7937

E766

140

721

1072

581

081

612

027

OR

CHA

RD

- EM

MA

MAR

TIN

CSO

7 O

RC

HAR

D S

TK7

K 2Z

420

4183

E854

24-

1630

529

30

--

1565

Insu

ffici

ent F

low

Dat

aPA

LAC

E R

D S

EWAG

E PU

MPI

NG S

TATI

ON

270

PALA

CE

RD

K7L

4T2

2038

66E8

6019

358

1151

904

837

016

3211

06R

IVER

ST

SEW

AGE

PUM

PING

STA

TIO

N12

RIV

ER S

TK7

K 2A

120

7678

E523

9117

323

3064

276

225

5192

170

180

3039

86TH

IRD

AVE

NUE

WAT

ER R

ESER

VOIR

14

1 TH

IRD

AVE

K7K

2J8

1340

41E5

5648

1276

2005

032

285

013

315

719

248

YONG

E ST

SEW

AGE

PUM

PING

STA

TIO

N20

YO

NGE

STK7

M 1

E313

8843

E661

01-

477

3640

816

025

-46

Insu

ffici

ent F

low

Dat

a

1030

06E8

6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Incentive Post-Application

Once the measure has been implemented a post application can be submitted and an incentive

value will be given based on the updated calculations of the energy savings of the measure

13

2011 and 2012 Energy Benchmarks Na

me

Addr

ess

Post

al

Code

Acco

unt

Num

ber

Met

er

Num

ber

2012

Flo

w Vo

lum

es

(meg

alite

rs)

2012

Ene

rgy

Cons

umpt

ion

(kW

h)

2012

Nat

ural

G

as

Cons

umpt

ion

(m3 )

2011

ek

Wh

per

meg

alite

r

2012

ek

Wh

per

meg

alite

r

2012

kg

of

GHG

Note

s

BAR

RET

T C

T SE

WAG

E PU

MPI

NG S

TATI

ON

723

BAR

RET

T C

TK7

L 5H

630

0742

117

J046

533

1354

1062

530

6678

1020

0BA

TH -

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

4054

BAT

H R

DK7

M 4

Y430

0242

741

J298

4685

-18

400

201

-17

7In

suffi

cien

t Flo

w D

ata

BATH

- LO

WER

DR

IVE

SEW

AGE

PUM

PING

STA

TIO

N41

46 L

OW

ER D

RK7

M 7

K130

0564

743

J203

8976

1070

60

2768

68BA

TH R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1298

BAT

H R

D

K7M

4X3

3001

2424

3J0

8580

621

433

409

9213

416

133

81C

ANA

SEW

AGE

TREA

TMEN

T PL

ANT

1756

CAN

A BL

VDK7

L 4V

330

0870

389

J073

092

2969

510

056

123

8866

73C

ANA

WAT

ER T

RAE

TMEN

T PL

ANT

1753

CAN

A BL

VDK7

L 4V

330

0427

870

J263

6370

1025

132

028

2025

0424

13C

ATAR

AQUI

BAY

SEW

AGE

TREA

TMEN

T PL

ANT

409

FRO

NT R

DK7

M 5

R8

3009

5783

1J1

3050

5492

9236

7300

516

9403

534

589

6728

81C

OLL

INS

BAY

RD

BO

OST

ER S

TATI

ON

865

CO

LLIN

S BA

Y R

DK7

M 5

H130

0139

698

J298

9955

1174

860

4864

656

719

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1205

CO

LLIN

S BA

Y R

DK7

P 2X

630

0234

460

J298

4634

2528

560

211

227

4C

OVE

RD

ALE

DR

SEW

AGE

PUM

PING

STA

TIO

N10

66 C

OVE

RD

ALE

K7M

8X7

3009

2590

1J2

9847

2065

017

459

026

2716

76C

RER

AR B

LVD

SEW

AGE

PUM

PING

STA

TIO

N46

CR

ERAR

K7M

7C

630

0849

074

J298

9250

541

6015

819

177

115

6137

DAY

S R

D S

EWAG

E PU

MPI

NG S

TATI

ON

419

DAY

S R

D

K7M

3R

530

1022

951

J029

146

7173

4978

800

7469

4779

6HI

LLVI

EW R

D S

EWAG

E PU

MPI

NG S

TATI

ON

740

HILL

VIEW

RD

K7M

5C

730

0319

322

J318

9324

682

1433

000

160

210

1375

7HW

Y 15

SEW

AGE

PUM

PING

STA

TIO

N28

9 HW

Y 15

K7L

5H6

3007

5071

7J2

9803

3777

2295

10

179

297

2203

KENW

OO

DS

CIR

CLE

SEW

AGE

PUM

PING

STA

TIO

N84

KEN

WO

OD

S C

IRK7

K 6Y

230

0932

452

J298

9643

192

8941

046

4685

8LA

KESH

OR

E BL

VD S

EWAG

E PU

MPI

NG S

TATI

ON

187

LAKE

SHO

RE

BLVD

K7M

6Z6

3011

9415

4J2

9892

4930

836

930

011

512

035

45O

CO

NNO

R D

R W

ATER

RES

ERVO

IR

590

OC

ONN

OR

DR

K7

P 1N

3-

-36

34-

4684

12-

8856

Insu

ffici

ent E

nerg

y D

ata

OLD

CO

LONY

RD

BO

OST

ER S

TATI

ON

901

OLD

CO

LONY

RD

K7

P 1S

130

0330

058

J298

9990

-25

025

0-

-24

02In

suffi

cien

t Flo

w D

ata

POIN

T PL

EASA

NT W

ATER

TR

AETM

ENT

PLAN

T80

SUN

NY A

CR

ES R

DK7

M 3

N230

0656

583

J072

041

7870

2987

050

039

338

028

6757

PRO

GR

ESS

AVE

WAT

ER R

ESER

VOIR

73

0 PR

OG

RES

S AV

EK7

M 4

W9

2990

3100

2J3

2436

0661

1294

500

2597

2127

1242

7PU

RD

Y C

T BO

OST

ER S

TATI

ON

896

PUR

DY

CT

K7M

3M

930

1134

575

J298

9644

-52

163

043

3-

5008

Insu

ffici

ent F

low

Dat

aR

ANKI

N ST

SEW

AGE

PUM

PING

STA

TIO

N60

2 R

ANKI

N ST

K7

M 7

L430

1269

720

J203

9867

3585

140

231

241

817

RAV

ENSV

IEW

SEW

AGE

TREA

TMEN

T PL

ANT

947

HWY

2 E

AST

K7L

4V1

3003

0522

7J0

9930

120

833

3973

468

1706

9037

227

870

4160

SCHO

ONE

R D

R S

EWAG

E PU

MPI

NG S

TATI

ON

22 S

CHO

ONE

R D

RK7

K 7J

830

0337

083

J298

9650

387

3367

08

932

3W

ESTB

RO

OK

RD

SEW

AGE

PUM

PING

STA

TIO

N11

43 W

ESTB

RO

OK

RD

K7P

2V7

3005

2778

0J2

9846

3359

1059

00

152

181

1017

DAL

TON

AVE

SEW

AGE

PUM

PING

STA

TIO

N26

6 D

ALTO

N AV

EK7

K 6C

311

0795

E513

8432

1351

2968

32

3126

142

170

5515

5G

REE

NVIE

W D

R S

EWAG

E PU

MPI

NG S

TATI

ON

38 G

REE

NVIE

W D

RK7

M 7

T511

4356

E864

0013

212

754

5323

60

1197

1224

HATT

ER S

T SE

WAG

E PU

MPI

NG S

TATI

ON

91 H

ATTE

R S

TK7

M 2

L620

4468

E661

032

315

4134

089

020

517

530

JAM

ES S

T BO

OST

ER S

TATI

ON

229

JAM

ES S

TK7

K 1Z

516

7927

2783

302

90

310

162

2618

7JA

MES

ST

SEW

AGE

PUM

PING

STA

TIO

N21

3 JA

MES

ST

K7K

1Z5

536

1995

805

254

022

737

319

160

KING

- C

OLL

ING

WO

OD

CSO

270

KING

ST

K7L

3A9

2042

02E8

5352

296

2754

574

925

012

993

2644

KING

- EL

EVAT

OR

BAY

SEW

AGE

PUM

PING

STA

TIO

N11

00 K

ING

ST

WK7

M 8

J219

2066

E865

5611

1572

382

581

017

0914

3615

09KI

NG -

POR

TSM

OUT

H SE

WAG

E PU

MPI

NG S

TATI

ON

621

KING

ST

WK7

M 2

E711

8373

E527

4617

0220

7015

084

563

1713

616

131

816

KING

ST

WAT

ER T

RAE

TMEN

T PL

ANT

300

KING

ST

WK7

L 2X

111

8371

E493

9017

479

5729

033

013

4879

935

535

764

2246

KING

ST

SEW

AGE

PUM

PING

STA

TIO

N AN

D C

SO62

KIN

G S

T W

K7L

0A6

1183

25E8

7971

7296

3453

438

169

1860

611

474

6832

9M

OR

TON

ST S

EWAG

E PU

MPI

NG S

TATI

ON

1 M

OR

TON

STK7

L 2X

412

2446

E860

1614

1228

053

142

069

188

011

79NO

TCH

HILL

RD

SEW

AGE

PUM

PING

STA

TIO

N60

NO

TCH

HILL

RD

K7M

2W

916

7937

E766

140

721

1072

581

081

612

027

OR

CHA

RD

- EM

MA

MAR

TIN

CSO

7 O

RC

HAR

D S

TK7

K 2Z

420

4183

E854

24-

1630

529

30

--

1565

Insu

ffici

ent F

low

Dat

aPA

LAC

E R

D S

EWAG

E PU

MPI

NG S

TATI

ON

270

PALA

CE

RD

K7L

4T2

2038

66E8

6019

358

1151

904

837

016

3211

06R

IVER

ST

SEW

AGE

PUM

PING

STA

TIO

N12

RIV

ER S

TK7

K 2A

120

7678

E523

9117

323

3064

276

225

5192

170

180

3039

86TH

IRD

AVE

NUE

WAT

ER R

ESER

VOIR

14

1 TH

IRD

AVE

K7K

2J8

1340

41E5

5648

1276

2005

032

285

013

315

719

248

YONG

E ST

SEW

AGE

PUM

PING

STA

TIO

N20

YO

NGE

STK7

M 1

E313

8843

E661

01-

477

3640

816

025

-46

Insu

ffici

ent F

low

Dat

a

1030

06E8

6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

2011 and 2012 Energy Benchmarks Na

me

Addr

ess

Post

al

Code

Acco

unt

Num

ber

Met

er

Num

ber

2012

Flo

w Vo

lum

es

(meg

alite

rs)

2012

Ene

rgy

Cons

umpt

ion

(kW

h)

2012

Nat

ural

G

as

Cons

umpt

ion

(m3 )

2011

ek

Wh

per

meg

alite

r

2012

ek

Wh

per

meg

alite

r

2012

kg

of

GHG

Note

s

BAR

RET

T C

T SE

WAG

E PU

MPI

NG S

TATI

ON

723

BAR

RET

T C

TK7

L 5H

630

0742

117

J046

533

1354

1062

530

6678

1020

0BA

TH -

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

4054

BAT

H R

DK7

M 4

Y430

0242

741

J298

4685

-18

400

201

-17

7In

suffi

cien

t Flo

w D

ata

BATH

- LO

WER

DR

IVE

SEW

AGE

PUM

PING

STA

TIO

N41

46 L

OW

ER D

RK7

M 7

K130

0564

743

J203

8976

1070

60

2768

68BA

TH R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1298

BAT

H R

D

K7M

4X3

3001

2424

3J0

8580

621

433

409

9213

416

133

81C

ANA

SEW

AGE

TREA

TMEN

T PL

ANT

1756

CAN

A BL

VDK7

L 4V

330

0870

389

J073

092

2969

510

056

123

8866

73C

ANA

WAT

ER T

RAE

TMEN

T PL

ANT

1753

CAN

A BL

VDK7

L 4V

330

0427

870

J263

6370

1025

132

028

2025

0424

13C

ATAR

AQUI

BAY

SEW

AGE

TREA

TMEN

T PL

ANT

409

FRO

NT R

DK7

M 5

R8

3009

5783

1J1

3050

5492

9236

7300

516

9403

534

589

6728

81C

OLL

INS

BAY

RD

BO

OST

ER S

TATI

ON

865

CO

LLIN

S BA

Y R

DK7

M 5

H130

0139

698

J298

9955

1174

860

4864

656

719

CO

LLIN

S BA

Y R

D S

EWAG

E PU

MPI

NG S

TATI

ON

1205

CO

LLIN

S BA

Y R

DK7

P 2X

630

0234

460

J298

4634

2528

560

211

227

4C

OVE

RD

ALE

DR

SEW

AGE

PUM

PING

STA

TIO

N10

66 C

OVE

RD

ALE

K7M

8X7

3009

2590

1J2

9847

2065

017

459

026

2716

76C

RER

AR B

LVD

SEW

AGE

PUM

PING

STA

TIO

N46

CR

ERAR

K7M

7C

630

0849

074

J298

9250

541

6015

819

177

115

6137

DAY

S R

D S

EWAG

E PU

MPI

NG S

TATI

ON

419

DAY

S R

D

K7M

3R

530

1022

951

J029

146

7173

4978

800

7469

4779

6HI

LLVI

EW R

D S

EWAG

E PU

MPI

NG S

TATI

ON

740

HILL

VIEW

RD

K7M

5C

730

0319

322

J318

9324

682

1433

000

160

210

1375

7HW

Y 15

SEW

AGE

PUM

PING

STA

TIO

N28

9 HW

Y 15

K7L

5H6

3007

5071

7J2

9803

3777

2295

10

179

297

2203

KENW

OO

DS

CIR

CLE

SEW

AGE

PUM

PING

STA

TIO

N84

KEN

WO

OD

S C

IRK7

K 6Y

230

0932

452

J298

9643

192

8941

046

4685

8LA

KESH

OR

E BL

VD S

EWAG

E PU

MPI

NG S

TATI

ON

187

LAKE

SHO

RE

BLVD

K7M

6Z6

3011

9415

4J2

9892

4930

836

930

011

512

035

45O

CO

NNO

R D

R W

ATER

RES

ERVO

IR

590

OC

ONN

OR

DR

K7

P 1N

3-

-36

34-

4684

12-

8856

Insu

ffici

ent E

nerg

y D

ata

OLD

CO

LONY

RD

BO

OST

ER S

TATI

ON

901

OLD

CO

LONY

RD

K7

P 1S

130

0330

058

J298

9990

-25

025

0-

-24

02In

suffi

cien

t Flo

w D

ata

POIN

T PL

EASA

NT W

ATER

TR

AETM

ENT

PLAN

T80

SUN

NY A

CR

ES R

DK7

M 3

N230

0656

583

J072

041

7870

2987

050

039

338

028

6757

PRO

GR

ESS

AVE

WAT

ER R

ESER

VOIR

73

0 PR

OG

RES

S AV

EK7

M 4

W9

2990

3100

2J3

2436

0661

1294

500

2597

2127

1242

7PU

RD

Y C

T BO

OST

ER S

TATI

ON

896

PUR

DY

CT

K7M

3M

930

1134

575

J298

9644

-52

163

043

3-

5008

Insu

ffici

ent F

low

Dat

aR

ANKI

N ST

SEW

AGE

PUM

PING

STA

TIO

N60

2 R

ANKI

N ST

K7

M 7

L430

1269

720

J203

9867

3585

140

231

241

817

RAV

ENSV

IEW

SEW

AGE

TREA

TMEN

T PL

ANT

947

HWY

2 E

AST

K7L

4V1

3003

0522

7J0

9930

120

833

3973

468

1706

9037

227

870

4160

SCHO

ONE

R D

R S

EWAG

E PU

MPI

NG S

TATI

ON

22 S

CHO

ONE

R D

RK7

K 7J

830

0337

083

J298

9650

387

3367

08

932

3W

ESTB

RO

OK

RD

SEW

AGE

PUM

PING

STA

TIO

N11

43 W

ESTB

RO

OK

RD

K7P

2V7

3005

2778

0J2

9846

3359

1059

00

152

181

1017

DAL

TON

AVE

SEW

AGE

PUM

PING

STA

TIO

N26

6 D

ALTO

N AV

EK7

K 6C

311

0795

E513

8432

1351

2968

32

3126

142

170

5515

5G

REE

NVIE

W D

R S

EWAG

E PU

MPI

NG S

TATI

ON

38 G

REE

NVIE

W D

RK7

M 7

T511

4356

E864

0013

212

754

5323

60

1197

1224

HATT

ER S

T SE

WAG

E PU

MPI

NG S

TATI

ON

91 H

ATTE

R S

TK7

M 2

L620

4468

E661

032

315

4134

089

020

517

530

JAM

ES S

T BO

OST

ER S

TATI

ON

229

JAM

ES S

TK7

K 1Z

516

7927

2783

302

90

310

162

2618

7JA

MES

ST

SEW

AGE

PUM

PING

STA

TIO

N21

3 JA

MES

ST

K7K

1Z5

536

1995

805

254

022

737

319

160

KING

- C

OLL

ING

WO

OD

CSO

270

KING

ST

K7L

3A9

2042

02E8

5352

296

2754

574

925

012

993

2644

KING

- EL

EVAT

OR

BAY

SEW

AGE

PUM

PING

STA

TIO

N11

00 K

ING

ST

WK7

M 8

J219

2066

E865

5611

1572

382

581

017

0914

3615

09KI

NG -

POR

TSM

OUT

H SE

WAG

E PU

MPI

NG S

TATI

ON

621

KING

ST

WK7

M 2

E711

8373

E527

4617

0220

7015

084

563

1713

616

131

816

KING

ST

WAT

ER T

RAE

TMEN

T PL

ANT

300

KING

ST

WK7

L 2X

111

8371

E493

9017

479

5729

033

013

4879

935

535

764

2246

KING

ST

SEW

AGE

PUM

PING

STA

TIO

N AN

D C

SO62

KIN

G S

T W

K7L

0A6

1183

25E8

7971

7296

3453

438

169

1860

611

474

6832

9M

OR

TON

ST S

EWAG

E PU

MPI

NG S

TATI

ON

1 M

OR

TON

STK7

L 2X

412

2446

E860

1614

1228

053

142

069

188

011

79NO

TCH

HILL

RD

SEW

AGE

PUM

PING

STA

TIO

N60

NO

TCH

HILL

RD

K7M

2W

916

7937

E766

140

721

1072

581

081

612

027

OR

CHA

RD

- EM

MA

MAR

TIN

CSO

7 O

RC

HAR

D S

TK7

K 2Z

420

4183

E854

24-

1630

529

30

--

1565

Insu

ffici

ent F

low

Dat

aPA

LAC

E R

D S

EWAG

E PU

MPI

NG S

TATI

ON

270

PALA

CE

RD

K7L

4T2

2038

66E8

6019

358

1151

904

837

016

3211

06R

IVER

ST

SEW

AGE

PUM

PING

STA

TIO

N12

RIV

ER S

TK7

K 2A

120

7678

E523

9117

323

3064

276

225

5192

170

180

3039

86TH

IRD

AVE

NUE

WAT

ER R

ESER

VOIR

14

1 TH

IRD

AVE

K7K

2J8

1340

41E5

5648

1276

2005

032

285

013

315

719

248

YONG

E ST

SEW

AGE

PUM

PING

STA

TIO

N20

YO

NGE

STK7

M 1

E313

8843

E661

01-

477

3640

816

025

-46

Insu

ffici

ent F

low

Dat

a

1030

06E8

6864

2011

and

201

2 En

ergy

Ben

chm

arks

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

What Wersquove Done in the Last Year Preamble

Developed an energy management team

Energy Management Meetings

Created a centralized location for sewage flow data

Improved Metering throughout the system

Produced Analytical Reports for our Largest Energy Consumers

Incorporated efficiency into the selection and evaluation of capital investments

Performed facility assessments

Implemented demand reduction measures

Encouraged staff involvement regarding conservation suggestions

Preamble Although several of the measures implemented in the last year were capital investment the

bulk of our efforts were to establish a structure and a system to our approach to energy

conservation and demand management We needed to establish an energy management team

with regular scheduled meetings improve metering and data storagefidelity throughout the

system in order to advance our data analytics and work conservation and efficiency into the

structure and culture of our water and wastewater department This structure will aid in the

implementation of even more cost effective and operationally feasible conservation measures

going forward

Developed an Energy Management Team Developing a team was the first and necessary step toward creating and implementing a

Conservation and Demand Management Plan A team was established to find and evaluate the

viability of potential investments quantify the potential savings for the investments and

ensure the implementation of cost effective operationally feasible CDM measures throughout

the system

Energy Management Meetings Regular meetings are scheduled to discuss our progress and any suggested measures that may

be worth considering Meeting minutes action items and outcomes of past efforts will be

recorded and summarized at each meeting In this way Utilities Kingston can track its progress

on energy management in line with the expectations of OReg 39711 Refer to Leadership and

Structure of Current Energy management for more on the structure of our energy management

team

15

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Created a Centralized Location for Sewage Flow Data As of January 1st 2013 daily flow data for all of Kingstonrsquos sewage pumping stations have been

recorded in a centralized location for easy query and convenience when analyzing facility

performance

Improved Metering Throughout the System Utilities Kingston recognizes the importance of having both energy and flow data monitored

and stored at similar levels of fidelity High detail energy data with mediocre flows results in

unimpressive correlation strengths Several of our facilities still have flow volumes calculate

based on run hours and pump capacities so in this last year we have taken the initiative to

equip several of our facilities with magnetic flow meters This is the beginning of a system wide

effort to furnish all our facilities with improved interval capable flow metering equipment

within the next 5 years

Produced Analytical Reports for our Largest Energy Consumers Analytical dashboard reports were produced for some of our largest facilities to give us a visual

display of the performance of the facility for purposes of comparison Benchmarking compares

energy performance facility to facility but the dashboards give us a highly detailed

performance profile that provides the added advantage of pinpointing where in each facility the

inefficiencies are located By breaking down the energy consumption of the facility into its key

components we can see which areas of consumption are higher than normal andor any

anomalies that may exist Common energy components at most facilities are base-load process

energy and natural gas or electric heating load Comparing facilities in all of these areas allows

us to more accurately direct our assessment efforts to specific areas of energy consumption

The reports also allow us to monitor our progress in greater detail and to evaluate more

appropriately where our targets should be A snapshot of the general format of the dashboard

is presented below A more detailed description of the analyses is included in Appendix A

16

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Incorporating Efficiency into the Selection and Evaluation of

Capital Investments Every time a capital investment is being considered there is an opportunity for energy

efficiency If a pump is not sized correctly when purchased it may be a number of years before

the potential savings that could have been realized by changing the pump are found Not only

would we have wasted energy over the years but we would have had to buy another pump and

the commissioning costs would now be double what they should have been If efficiency is

incorporated into the design phase it creates higher long term energy savings and less wasted

capital by stopping the inefficiency from existing in the first place In order to address this it

requires the integration of energy management and analysis into all energy related capital

purchases The energy team is being integrated into the engineering and design process to

assess any proposed equipment for energy impact and evaluate possible alternatives The

Energy Management Associate reports on the energy implications of proposed capital

investment at the monthly meeting This ensures that energy analysis is incorporated into the

decision making of our managers and operators in an organized and continuous manner This

will place energy efficiency as integral to our decision making process and permit it to become

part of our corporate culture as an efficient and effective utility provider

Performed Facility Assessments Facility assessments are vital but the goal is to narrow down which facilities need to be

assessed in detail and where in the facilities our attention needs to be focused Several

17

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

assessments were performed in the last year on targeted facilities for a wide range of possible

opportunities

Implemented Demand Reduction Measures With the implementation of analytical reporting two opportunities were noted for their

demand reduction potential These measures were brought to the team and validated as

measures that would not negatively affect quality quantity or safety The measures were

implemented monitored and were found to have legitimate savings These measures are

explained in detail in Appendix B

Encouraged Staff Involvement Regarding Conservation

Suggestions Staff is encouraged to bring conservation suggestions to their supervisors The supervisors bring

the suggestions to the energy management meetings where their viability will be assessed

according to the Existing Strategy for Analyzing and Implementing Conservation Measures

18

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

What wersquove done in the last 5 years Preamble

Separation of combined sewers

Water Conservation Efforts

o Active Leak Detection

o Water Conservation Demonstration Garden

o Preventative Plumbing Program

o Toilet Rebate

o Water Efficiency Retrofit Incentive Program Ravensview WWTP River St SPS

Preamble This section covers some of the notable measures that were implemented throughout

Kingstonrsquos water and wastewater system in the last five years It introduces the connection

between water conservation and energy conservation All the water in our distribution system

has a certain amount of energy associated with its treatment and transportation and as such a

reduction in water consumption is directly related to a reduction in the energy used to treat

and transport that water This section covers the notable measures the smaller measures such

as soft starters HVAC and building envelope retrofits modifications to control strategy and the

numerous lighting retrofits have not been included

Separation of Combined Sewers Historically sanitary collection systems have been designed as a single piping system to collect

rainwater along with municipal wastewater and covey them both to the treatment plant The

inflow of rainwater into Kingstonrsquos sanitary system during a heavy downpour forces the

pumping and treatment facilities to increase their electrical demand in order to address the

high volumes Consequently this system design is energy intensive

In 2006 an evaluation of Kingstonrsquos sanitary system was performed in order to create a strategy

for sewer rehabilitation and road construction Following this evaluation the City established a

long term goal of ldquovirtual eliminationrdquo of bypasses in the system key component of this goal

is the separation of Kingstonrsquos combined sewers and the elimination of the influence of heavy

rainfall Subsequently Utilities Kingston began to place greater emphasis on sanitary sewer

separation projects as part of the annual capital infrastructure replacement and renewal

programs

19

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

The following table shows the progress for sewer separation in contrast to 2008 benchmark

conditions

Since 2008 approximately one third of the combined sewers at that time have been eliminated

or separated This reduction has had a noteworthy impact on reducing the amount of

extraneous water entering the sanitary system and in turn reducing the energy consumed to

treat and transport wastewater annually

CSO tanks have also been placed strategically throughout the city These tanks limit the inrush

volumes seen by the pumping and treatments plants by restricting the flow rate of the sewage

A reduction in the inrush volumes creates an overall reduction in the electrical demand of the

sewage system

Water Conservation Efforts

Saint Lawrence College Research Project

Utilities Kingston is working in collaboration with Saint Lawrence College on a research project

to find the energy embedded in each cubic meter of water that travels full circle in Kingstonrsquos

water and sanitary sewer systems The energy associated with each cubic meter represents the

energy that is saved when a consumer reduces their water consumption Once established

there may be an opportunity to implement the dollar value for energy savings into an incentive

program for water conservation

Active Leak Detection (ALD)

Water distribution systems all have leaks they are never flawless Water erodes causing pipes

to degrade over time and with every winter comes a shifting and heaving of the ground that

20

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

causes innumerable minor and major leaks in Kingstonrsquos distribution system These leaks

progressively grow larger until eventually surfacing Kingston unfortunately sits on numerous

layers of limestone so leaks even larger ones tend to dissipate quickly into the rock and are

very likely to remain unnoticed for extended periods of time The leaks that do surface are

called in and fixed but the ones that donrsquot surface have the potential to persist for up to ten

years This is not only a major waste of our valuable water resources but each cubic meter of

water that gets treated and pumped through the distribution system has a certain amount of

energy embedded within it That energy is also wasted if the water never gets to the consumer

Active leak detection uses science engineering and technical resources to seek out the leaks

that havenrsquot surfaced The leaks are detected using engineering studies surveys camera

inspections and acoustic analyses with geophones data loggers and correlaters Active Leak

Detection was started in 2012 in order to reduce non-revenue water losses in the system The

resulting reduction in losses was significant enough to initiate an application to the OPA for the

associated energy saving and ultimately double our leak detection efforts for 2013 Utilities

Kingston has calculated the amount of energy embedded in each m3 of water it treats and

pumps to customers within both Kingston hydro and Hydro Onersquos territory These energy values

have been used to link water conservation and the reduction of system leaks directly to energy

savings

Non-revenue water losses consists of a few components water used for firefighting and

flushing the system reported leaks leaks found by ALD and the leaks that still persist In order

to better see the impact of active leak detection it is best to compare the leaks found by ALD to

the leaks that still persist An increase in leaks found by ALD is directly proportional to a

reduction in the persistent leaks The graph below shows the losses in the system in m3 per

day

21

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

The flow rates for ALD are presented in green while the persistent leaks are red It is apparent

from the graph that there was a reduction in persistent leaks due to ALD efforts in both 2012

and 2013 2014 shows the flow rates for the leaks found only in the first 4 months of 2014 As

ALD efforts increase with the warmer weather there will be an increase in the flow rate of the

leaks found by ALD and likewise a reduction in the flow rate of persistent leaks If ALD did not

occur over the last three years the green areas would still be red The height of the bars

(combining both red and green) shows that without ALD there would have been a steady

increase to the persistent leaks in the system It is our intention to increase our ALD efforts and

bring the flow rates of the persistent leaks down even further

Water Conservation Demonstration Garden

In 2010 Utilities Kingston opened its ldquoWater onservation Demonstration Gardenrdquo Formerly a

drainage ditch this space has been turned into an award winning hands-on water conservation

education facility The garden incorporates drought tolerant and native plant species suited to a

variety of micro-environments and showcases the use of bio swales rain barrels and water-

smart landscaping During the summer months the garden is used to host conservation

workshops guided tours and educational activities for children

In 2011 Utilities Kingstonrsquos Water onservation Garden received three different awards

First place in the Commercial and Institutional garden category of the local

ldquoommunities in loomrdquo competition

The ldquoMayorrsquos hoicerdquo award given by the awards jury to the most outstanding garden in the City

nd one of the 5 ldquoLivable ity Design wards of Excellencerdquo for projects in the ity of Kingston that exemplify the ity of Kingstonrsquos design objectives and principles as

outlined in its Official Plan and planning guidelines

httputilitieskingstoncomWaterConservationConservationGardenaspx

Preventative Plumbing Program

In 2012 we initiated a program to help reduce the risk of sewage backups in parts of the city

that were vulnerable during intense rain events This was done by helping to finance the

disconnect of sump pumps roof leaders or foundation drains that are illegally connected to

the sanitary system These systems are meant to direct groundwater and rainwater away from

the house but are not by law allowed to be connected to the sanitary system Helping to

finance our customers in this way encourages compliance to the cityrsquos bylaw but also reduces

the total sewage volume in the system

22

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

In 2012 and 2013 the program was able to remove at least 150 and 180 m3h respectively from

the sanitary sewer system helping to reduce the potential of backups and elim inate

unnecessary energy consumption as those flow volumes are no longer being pumped or treated

in the wastewater system

httputilitieskingstoncomWaterbasementfloodingPreventativeaspx

Toilet Rebate

Utilities Kingstonrsquos Multi-residential Toilet Rebate offers a flat rate of $60toilet for

replacement of toilets with a flush volume of 13L or more with single flush models with a

maximum of 48 lpf or approved dual flush models

httputilitieskingstoncomWaterConservationMultiResidentialToiletReplacementRebateas

px

Water Efficiency Retrofit Incentive Program (WERIP)

Non-toilet permanent water and sewer volume reductions can be funded at up to $5m3 for

up to 20 of the eligible costs of the water conservation investment

httputilitieskingstoncomWaterConservationEfficiencyRetrofitIncentiveProgramaspx

Ravensview WWTP Ravensview WWTP was built in 1957 as Kingstonrsquos first sewage treatment plant Just shy of 50

years later the facility began a transformation into a world-class institution employing cutting

edge treatment technologies This transformation was completed in 2009 The two primary

objectives of this upgrade were to implement secondary treatment while also increasing the

capacity by roughly 30 These objectives were to be accomplished with efficiency and minimal

environmental impact as greatest importance In short

A 394 kW dual fuel Co-generator was implemented into the system in order to generate

both heat and up to 33 of the facilities electrical needs

Thermophilic Digestion (temperature at 55degC instead of 37degC) was chosen primarily to

achieve ldquolass rdquo biosolids but a much welcomed byproduct is an increase in the

amount of biogas generated This in turn feeds the co-gen and ultimately produces

more electrical and thermal energy

And High Speed Neuros Blowers were installed These units are close to half the size of

typical blowers and boast up to 40 less energy consumption Aeration blowers are

23

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

typically the largest energy consumers at a treatment plant The success of these

blowers initiated their installation at the Cataraqui Bay Wastewater Treatment Plant as

well

These and many smaller efficiency measures make Ravensview one of anadarsquos most

environmentally friendly sewage treatment facilities

River St SPS River St SPS is Kingstonrsquos largest sewage pumping station both in size and consumption Being

the last station in line it receives inflow from all the other stations in Kingston Central and

pumps the wastewater from Kingston Central under the Cataraqui River and up the hill before

being gravity fed the rest of the way to Ravensview This facility went under complete

renovation in 2012 The walls were all reconstructed with an added 3 inch layer of polystyrene

insulation All the windows and doors were replaced ventilation fans were upgraded LED wall

packs were incorporated into the exterior lighting and high efficiency T5 vapor proof

fluorescent fixtures were installed in the grit room

VFDrsquos were installed on the 4 main pumps to regulate flows to Ravensview Originally the pump

flows were moderated by restricting electrical flow to the pumps through a large resistor bank

Resistor banks burn off any excess energy as heat the same way a resistance heater heats a

home This isnrsquot so bad in the winter months but during the summer months this waste heat

would end up requiring further energy consumption to remove the heat from the facility VFDrsquos

provide the same service without the heating complication

24

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

What wersquore doing in the Next 5 years Preamble

Measures still under investigation

o VFD implementation at King St WTP

o Incorporating Rain into Control Strategy at River St

o Pump Energy Indicator Assessments

o Portsmouth Redirect

o Minimum thermostat set-points at un-manned facilities

Measures Planned to be implemented and their financial estimates

o Metering improvements

o Point Pleasant upgrades

o Dalton Avenue pump replacement

o Cataraqui Bay blower replacement

o Ravensview and Cataraqui bay sewage transfer pump replacement

o King St SPS HVAC Renovation

Preamble This section consists of two parts The first covers some of the ideas and measures that are still

in the evaluation stage where energy savings andor viability have not yet been established It

is our intention to pursue their implementation where feasible however no timeframe can be

determined

The second section covers the measures that we plan to implement in the next five years Many

of the measures that we have implemented in the last few years are persistent and thus

continue throughout the next five years such as data analytics and reporting energy

assessments ALD energy management meetings the development of a program fostering staff

involvement and the incorporation of efficiency into the selection and evaluation of capital

investments These measures will not be discussed in this section as they were described in

detail in previous sections This section will focus on the measures that are new andor

measures that will be completed in the next five years such as our metering improvements

Realistically five years is a short window Emergencies and unexpected breakdowns are by

nature unpredictable and out of necessity need to be addressed prior to energy conservation

measures It is our responsibility to attend to health and safety concerns prior to efficiency

concerns and as such some of our planned investments may be pushed back while the more

25

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

vital issues are addressed That being said the second section includes several chosen

measures that we do ldquoplanrdquo to implement in the next five years

Measures Still Under Investigation

VFD implementation at King St WTP

VFDrsquos are a great way to regulate the energy consumed by a pump motor Onoff motors tend

to use more energy compared to a unit of the same size with a VFD due to the kW to flow

relationship When the flow rate of a pump is reduced by 30 there is a reduction in kW draw

of the motor by roughly 65 This is a massive reduction in energy consumed over time if you

consider the size of the pump and the number of run hours in a year The savings of

implementing a VFD are even greater if the current system has moderating control valves on

the discharge piping These valves control the flow rate by restricting it with an opening and

closing valve The pump continues to use the same amount of energy to move less water The

same amount ldquoinrdquo with less product ldquooutrdquo means bad efficiency A VFD reduces both the energy

in and the flow out and because of the kW to flow relationship there is actually an

improvement to the efficiency The three defining triggers for targeting a pump for potential

VFD installation are the size of the pump (Larger means more savings) the number of hours it

runs in a year and whether it has a modulating control valve A pump at the King St WTP fits all

three of those criteria Low lift pump number 4 is a 150HP pump that ran 55543 hours in 2013

(63 of the year) and has a moderating control valve on the discharge An analysis of the pump

was performed to consider the cost-effectiveness of installing a VFD A comparison of the valve

and VFD cases has been presented below showing three different graphs

26

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

The detailed data from the analysis is in Appendix C Out of the graphs above the graph on the

left shows the kWhm3 of the two cases in relation to a decreasing flow rate (The lower the

point on the graph the more efficient the energy to flow relationship) The difference between

these two lines is the efficiency improvement that would be seen with a VFD The graph at the

top right shows the kW to flow relationship of both the valve and VFD cases where the blue line

represents the kW draw of the pump under reduced flow from the valve and the red line is the

kW draw of the pump when regulated by the VFD The difference between these two lines is

the kW savings that are realized in relation to a decreasing flow rate The graph at the bottom

right shows the dollar savings at each of the reduced flow rates The savings increase rapidly

during the first 40 reduction (typical VFD operational area) and then cap out at

approximately $800 per hour of runtime The next step is to establish the flow profile which is

the percent of runtime that the pump spent at each reduced flow rate This flow profile is then

applied to the savings at each flow rate to get the savings that would have accrued if the VFD

was implemented For pump 4 at the King St WTP the savings for the year 2013 would have

been around $3000000 The pump runs similarly every year and we accept $3000000 as the

annual potential savings This measure is still under investigation as the motor would need to

be rewound and space constraints for the VFD may be an issue

Incorporating Rain into Control Strategy at River St

The rain data currently being used for the monthly reports is daily data Utilities Kingston has

weather stations in two locations within the city that have much higher levels of data fidelity

These stations were under repair to improve data quality and during this time the data was

unreliable The stations have now been restored and 5 minute rain data (same fidelity as our

demand data) will going forward be implemented into the monthly energy analysis of the

larger sewage facilities

With this change it may be found that there is a possibility of incorporating rain data into the

control strategy of the pumps at our largest sewage pumping station River St When it starts to

rain in Kingston there is a period of time before River St ldquoseesrdquo an increase in flows from the

inflow and infiltration It is during this time that the pumps could be programmed to function in

aggressive mode This aggressive mode should include drawing down the wells significantly in

preparation for the increased flow rate and making the VFDrsquos function as on off motor control

When the wells are drawn down the sewage volumes that are in the pipes also get drawn

down so the added ldquostorage capacityrdquo in the system is much larger than just the well size The

volume of the well and the pipes combined act similar to a giant CSO tank This should reduce

the inrush of flows at River St quite often eliminating the opportunity for bypass and possibly

reducing the electrical demand during shorter rain events This effect may be compounded if

the strategy was applied to the rest of the larger stations

27

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

s part of the aggressive control strategy the VFDrsquos could be programmed to function like

onoff controllers and ramp up to 100 instead of the gradual increase This may be able to

stop the highest pump step from coming on If this does occur and the highest pump step is

avoided then there has been a reduction in demand Assuming the highest pump step is

avoided for the duration of the month then there will be demand savings associated with this

strategy

These normal and aggressive modes should optimize the performance of the facility under rain

and no-rain scenarios The graphic below shows the actual demand of the facility during a rain

event in red The blue line shows the theoretical demand if the highest pump step were

avoided The reduction here would be roughly 350 kW At $97161kW per month this would

be a savings of roughly $340000 for every month that this pump step is avoided Again this

strategy may only provide demand savings for smaller rain event The larger events will still

due to volume end up entering the highest pump step but drawing down the well in advance

should still have the benefit of reducing bypass volumes

Pump Energy Indicator Assessments

The current benchmark for monitoring the energy performance of our facilities is the

energycubic meter metric This is currently being report for this regulation as the total energy

at the facility divided by the volume pumped Unfortunately this metric is limited when

comparing the efficiency of one facility to another A pump that moves a defined volume from

one place to another that is at the same elevation uses less energy than the same sized pump

moving the same volume to a higher elevation In order to overcome gravity there will be a

higher energy consumed per unit volume The gravity to be overcome is the height of the

second elevation in respect to the first If the metric energycubic metermeter head were used

instead it would be a better representation of the ldquocontrollablerdquo energy being used by the

facility and a better benchmark for monitoring improvement and targeting the inefficient

facilities The feasibility of this metric is still under evaluation

28

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Portsmouth Redirect

Below is an image of the layout of the current and proposed sewage conveyance passages

The blue diamond highlights the Portsmouth SPS which is the focus of this potential redirect

The flow volumes from this facility are currently pumped to the East and delivered to the

Ravensview WWTP on the far right This path goes through two other pumping stations before

arriving at Ravensview roughly 12 km away The volumes are pumped three time and much of

this journey is forcemain (uphill and therefor energy intensive) This path also has the added

disadvantage of being bottlenecked at the River St SPS (burgundy arrow) All the flows from

Kingston central go through River St before crossing the Cataraqui River leaving the facility at

high risk for bypassing during periods of excessive flow The suggested alternative is to redirect

the flow volumes from Portsmouth to the West This journey would be roughly 35 km which is

less than a third of the current distance and significantly less forcemain The volume would

only be pumped once as opposed to three times and less volume would be seen at River St

reducing the risk of bypass

The energy intensity of all the facilities involved was calculated for 2013 This is done by

removing the baseload and any electrical heating energy in order to find the energy that varies

according to flow volume This energy is then divided by the volume pumped to get the energy

intensity The potential savings for both paths was calculated and using 2013 values a

redirection of the sewage volumes would have accrued a savings of roughly $5200000 This

dollar value does not include the energy intensity of the Portsmouth SPS after the redirect This

value is considered conservative as the facility after the redirect is likely to be much more

efficient

29

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Reduced Thermostat Set-points at some of our Un-manned Facilities

Some of our Remote facilities remain unoccupied most of the time however these facilities

still need to be heated due to water piping and other vital equipment These facilities tend to

be small electrically heated buildings Individually their consumption is small but collectively

the amount of energy spent heating our remote facilities is substantial Some of the facilities

due to their size have been found to spend up to 63 of the annual consumption entirely on

electrical heating An investigation is under way to evaluate what the minimum permissible

temperature is At facilities with water piping a 10 Deg C set-point has been recommended

but facilities without water may be able to handle temperatures as low as -10 Deg C

Measures Planned to be Implemented and Their Savings

Estimates

Metering Improvements

With the implementation of Smart and Interval meters the level of detail of energy data has

become comparatively good for analysis The quality and quantity of sewage flow data however

is sometimes lacking due to inconsistent fluid characteristics Even with all facility flow data

being monitored and stored several of our facilities still have flow volumes that are calculated

based on run hours and pump capacities This data quality issue stood and still stands as one of

the largest barriers to overcome in the pursuit of meaningful energy analysis As such it has

been decided that within the next 5 years all facilities will have interval capable flow metering

equipment as part of this CDM Plan

Dalton Avenue Pump Replacement

The Dalton Avenue Sewage Pumping Station is connected to a sanitary line that was recently

relined A sewer relining means a new smaller pipe is constructed within the existing older pipe

This procedure puts higher restriction on the flow rates and increases the friction head in the

system After the relining the pumps at the Dalton Ave SPS were pumping on a different

system curve causing the pumps to perform at a much lower efficiency point A pump analysis

was completed on this facility and it was found that a smaller lead pump would provide the

necessary flow volumes at reduced energy consumption

The new pump including install would cost roughly $70000 -$80000

Approximately 780000 kWh would be saved annually by the replacement of this pump

At $010 per kWh this measure would have a one year simple payback

The estimate lifetime of a pump is generally assumed to be 30 years

30

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Point Pleasant WTP

Point Pleasant Water Treatment Plant was originally constructed in 1977 This year 2014 the

facility is under complete overhaul in order to meet projected demand for 2026 The current

capacity is 455 MLd the expansion is planned to almost double the capacity bringing it to 80

MLd This project is an expansion and as such the facility is projected to have a higher energy

consumption however included in the construction plans are several measures that are being

implemented based on good practice Some of these measures are

Outdoor ldquoDark Skyrdquo certified photocell controlled LED lighting

Occupancy sensors

Daylight harvesting

VFDrsquos on low lifts and high lifts where necessary soft starts if not VFDrsquos High efficiency boilers

Heat Recover Ventilators

Building Automation System

Ultra Low Flow fixtures

These measures were implemented base on good practice and although savings can be

associated the actual savings have not been quantified

Cataraqui Bay Blowers and Sewage Transfer Pump Replacements

The ldquoat ayrdquo facility is at some point in the future going to be upgraded and expanded to

accommodate future flows Prior to this upgrade however (within the next five years) we plan

to swap out the blowers and the sewage transfer pumps for higher efficiency units In this case

the measures need to be sized positioned and plumbed to accommodate for the future

expansion As these design parameters still need to be established an estimate of savings is

currently incalculable It is assumed that the replacement units will be of similar capacity but of

higher efficiency

31

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

32

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

List of Acronyms

Acronyms Description ALD Active Leak Detection CDM Conservation and demand management CSO Combines sewer overflow GHG Greenhouse gas HVAC Heating ventilation air conditioning LDC Local distribution company LED Light emitting diode SPS Sewage pumping station WTP Water treatment plant WWTP Wastewater treatment plant

33

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Appendices Appendix A - Produced Analytical Reports for Our Largest

Energy Consumers The more we know about the performance of a facility the better able we are to manage it

Knowing this the team decided it was necessary to set up a monthly monitoring strategy for

some of our larger facilities Energy Flow HDDCDD Natural Gas consumption and

Precipitation data are all collected and evaluated monthly in relation to the data from 11

months prior to give a complete years perspective of the facilities behavior

For these reports the unit of greatest interest is efficiency We need to know which Facilities

are inefficient in order to target them for upgrade Efficiency is currently measured in two

metrics KWhm3 as a monthly value and a CUSUM analysis for the daily values CUSUM is the

Cumulative Sum of the residuals from a regression line This is a type of process monitoring

used for quality control that basically removes the day to day noise in the data and reveals the

changes that are persistent over time The slope of the CUSUM line gives us a visual display of

the efficiency of the facility If it changes its slope then there has been a persistent change in

the energy used per unit produced at the facility If itrsquos going up itrsquos using more energy if

down itrsquos using less energy USUM also happens to be a very effective way to check for the

seasonal variances in energy consumption like electrical heating or cooling loads

Measuring and monitoring the efficiency of our facilities allows us to target which ones need to

be analyzed further Ultimately we need to find where the actual inefficiencies lie Quite often

this is done through facility assessments The problem with facility assessments is that they

need to be extremely detailed A lot of measures unfortunately are not visible opportunities

they lie in control strategy electronic components or even operational behavior Therefore

assessments can consume a lot of time and expense when considering the number of facilities

and the detail with which the assessment must be done in order to find those not-so-visible

opportunities

Assessments are vital but the key is to find out where to spend the bulk of your time by

narrowing down where in each facility the opportunities lie This can be done by breaking down

the electrical consumption at the facility into separate uses or purposes With some of the

facilities itrsquos possible to pull out the amount of energy used for process base load electrical

heatingcooling and as data quality improves we should be able to quantify the energy

expended to pump rainwater throughout the city

If a facility has an electrical heating or cooling load it will most often show up on the CUSUM

curve as a persistent seasonal variation This variation is then confirmed by correlating it with

34

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

the HDDCDD If confirmed the seasonal variation can be associated with the heating or cooling

load and removed from the total energy of the facility to strengthen the flow-energy

correlation The flow-energy correlation is the relationship between an increase in flow volume

and an increase in energy consumed and represents the process energy at the facility This

flow-energy correlation is also used to find the base load energy of the facility depicting the

theoretical consumption under no-flow scenario

This separation of types of consumption will help us target where the inefficiencies are in each

facility without having to do an entire detailed facility assessment For example knowing the

amount of energy being used for heating or cooling allows for us to target facilities for HVAC

upgrades envelope improvements or simply just turning down the thermostat Excessive base

load consumption could be investigated to find lighting retrofit opportunities while knowing the

energy that varies according to volume can reveal process inefficiencies abnormal equipment

behavior or even equipment failures

The monthly dashboard presented to the team was designed to show the breakdown of the

different types of energy consumption It also displays natural gas consumption facility

demand USUM electricity costs the current monthrsquos kWhm3 as well as the year to date

value The figure below is a snapshot of the general format of the dashboards The one

displayed is for a sewage pumping station but not all facilities have the same types of analysis

due to each buildings nature- SPSrsquos are affected by rainfall for example or some facilities have

natural gas heating others electrical and some have both

35

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

ekWhm3

This Month 013208

So far this year 012865

Reported Last Year 013620

Monthly Energy Report

November 2013

Portsmouth Sewage Pumping Station

0

5

10

15

20

25

30

35

40

45

50

00000

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

kW

Demand Data

-1500-1000

-5000

5001000150020002500300035004000

0

5

10

15

20

25

30

35

40

45

Last Year of CUSUM

0

10000

20000

30000

40000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Energy Use Profile

Base Load

Pump Energy

ekWh of NG

0

100

200

300

400

500

600

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

This month CUSUM

0

5000

10000

15000

20000

25000

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

kWh

Energy Uses Base Load

PumpEnergy

NG EqkWh

0002004006008

01012014016018

02

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Last Years Monthly ekWhm3

kWhm3 Reported last Linear (kWhm3)

-100

0

100

200

300

400

500

600

700

800

0

200

400

600

800

1000

1200

1400

1600

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

HD

D

m3

NG VS HDDm3 of NG

HDD

$238907

$259002

$205005

$272563

$267203

$223912

$365988

$255045

$156233

$217419

$182199

$189813

$49854

$71713

$71017

$55041

$52631

$22897

$8891

$8438

$7646

$8747

$10895

$24894

Dec 2012

Jan 2013

Feb 2013

Mar 2013

Apr 2013

May 2013

Jun 2013

Jul 2013

Aug 2013

Sep 2013

Oct 2013

Nov 2013

Monthly Energy Expenses

Energy NG

This Month So Far this Year

Rsup2 = 09716

0

5000

10000

15000

20000

25000

30000

0 50000 100000 150000 200000 250000 300000

kWh

Flow

Monthly Energy to Flow Correlation

989 1279562

1051 994 8761476

521 497 569 516 557

1044

389 487229

566 482

1391

224613 709

922506

-100

-50

0

50

100

150

200

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

Demand kW Rain

19381 2124016625

23298 2003116163

2323417901 14717 13755 14567 15354

-100

-50

0

50

100

150

200

Dec2012

Jan2013

Feb2013

Mar2013

Apr2013

May2013

Jun2013

Jul2013

Aug2013

Sep2013

Oct2013

Nov2013

0

5000

10000

15000

20000

25000

kWh kWh Rain

Appendix B - Implemented Demand Reduction Measures With the implementation of data analysis and the dashboards there were two opportunities

noted for their demand reduction potential These measures were brought to the team and

validated as measures that would not negatively affect quality quantity or safety The

measures were implemented while being monitored and were found to have legitimate

savings

Third Avenue Reservoir

Third venue Reservoir is a water storage facility located near the center of Kingston Hydrorsquos

territory (Kingston Central) This facility is equipped with two pumps of the same size used to

help maintain the water level at the City Central Water Tower The Towerrsquos level however is

also maintained by the pumps at the King Street Water Treatment Plant After reviewing the

control strategy there appeared to be an opportunity to reduce the electrical demand of the

reservoir by making pump number two never come on Easily enough this was temporarily

arranged by simply turning it off Instead the King Street Water Treatment Plant was entirely

capable of providing the pressure and water volume needed to satisfy the tower levels while

only being supplemented by the first pump at the reservoir

36

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

The actual energy that pump number two at the reservoir uses is relatively small but by shifting

the energy so that it is now consumed by the pumps at the Treatment Plant there is a much

large impact on the demand Therersquos no actual energy reduction just a change in where itrsquos

consumed The savings is in the demand reduction Previously every time pump two would

come on at the reservoir there was a 70kW increase in demand The nature of the Treatment

plant however is that there is a pump running all the time so instead of turning a pump on or

off at the reservoir we simply allow the pump step configuration at the treatment plant to

come on sooner or stay on longer Therefore there is no increase in demand at the treatment

plant

The result is a 70 kW reduction in demand at the reservoir At current demand rates this is a

monthly savings of $64115 The figure below shows the behavior of the pumps at the reservoir

before and after the changes implemented mid-September

Dalton Avenue Sewage Pumping Station

Dalton Avenue Sewage Pumping Station is also located in Kingston Central This facility has four

385 HP pumps all the same size two of the pumps have Variable Frequency Drives (VFD) and

two have Soft Start Drives

This facility although it has VFDrsquos and soft starts seemed to behave as if it didnrsquot Whenever

the pumps were shut down due to low flow and were then restarted again the lead pump

would ramp up showing electrical demand spikes due to the inrush current and then drop back

down This should not be the case when VFDrsquos and soft starts are incorporated into the system

This was investigated and it was found that the VFDrsquos were programmed to start at 100 after

a shut down The logic here was that during a shut down the wet well level would be allowed to

go higher to avoid short cycling of the pumps If the well level is higher the assumption was

that the pumps needed to start at 100 to avoid the risk of system backup Further analysis

was performed The pumps were tested at a 60 start and were found due to their size to

have no issues drawing down the well Even if they started at 60 and the well were to

continue filling the VFDrsquos could still gradually ramp themselves up to 100 without the inrush

current

The savings in Dalton venuersquos case is highly dependent on the intensity of the rain events

during the month The demand that is reduced by VFDrsquos may be dwarfed by the electrical

demand required to pump a rain event The figure below shows what the pump start behavior

37

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Behavior

looked like before and after the changes made mid-September and also stands as a perfect

example of the demand savings being dwarfed by a rain event

The month displayed above would not have seen any savings due to the rain event but for

demonstration purposes if the set-point had been implemented at the beginning of 2013 a

savings of $1500 would have been realized with no capital expense Likewise the kW savings for

next year depends on rain intensity and cannot therefore be quantified On top of the demand

savings however the implemented change will influence both the health and longevity of the

pumps as they will no longer hard start at 100

38

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Appendix C - VFD Analysis for Pump 4 at King St WTP The following pages are screenshots of an excel document showing the analyses performed on

Pump 4 at King St Water treatment Plant for its VFD viability

2013

Hours of Year

55543 63

(1000)USGPM feet BHP

Q H P

15 2302714859 1087485388

Design Point 14167 2718391597 12054637

14 2798276463 122511533

13 3254009405 1317891633

12 3673743351 1373378252

11 406130797 1398586947

10 4420532929 1399977278

9 4755247895 1383456611

8 5069282536 1354380111

7 5366466519 1317550749

6 5650629511 1277219297

5 5925601181 1237084331

4 6195211195 1200292227

3 6463289221 1169437166

2 6733664927 1146561133

1 701016798 1133153913

0 7296628047 1130153094

m3Hour feet kW

Q H P

3406869 2302714859 8109377145

Design Point 3217674208 2718391597 8989141266

31797444 2798276463 9135683447

29526198 3254009405 9827516218

27254952 3673743351 1024127987

24983706 406130797 1042926107

2271246 4420532929 1043962877

20441214 4755247895 1031643418

18169968 5069282536 1009961076

15898722 5366466519 9824974252

13627476 5650629511 9524222666

1135623 5925601181 9224936269

9084984 6195211195 8950577598

6813738 6463289221 8720491453

4542492 6733664927 8549904901

2271246 701016798 8449927277

2271246 7296628047 8427550178

Converted Units

Original Units

Low Lift Pump 4 Pump Curve Data

y = -00023x4 - 00018x3 + 05419x2 - 02377x + 11302Rsup2 = 1

0

20

40

60

80

100

120

140

160

0 2 4 6 8 10 12 14 16

BHP

Flow (1000) USGPM

Flow to BHP

y = -00064x3 + 00689x2 - 29272x + 72966Rsup2 = 1

0

10

20

30

40

50

60

70

80

0 2 4 6 8 10 12 14 16

Head (Feet)

Flow (1000) USGPM

Flow to Head

y = 00014x3 - 02474x2 + 13197x - 83016Rsup2 = 09907

0

20

40

60

80

100

120

140

160

0 10 20 30 40 50 60 70 80

BHP

Head (feet)

Head to BHP

39

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Reduction in Flow m3Hour feet kW kW Reduction Efficiency

Q H P Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 0 00 0027936766

-12 31797444 2798276463 9135683447 146542181 16 0028730874

-82 29526198 3254009405 9827516218 8383749518 93 0033284056

-153 27254952 3673743351 1024127987 1252138602 139 003757585

-224 24983706 406130797 1042926107 1440119806 160 0041744252

-294 2271246 4420532929 1043962877 1450487507 161 0045964324

-365 20441214 4755247895 1031643418 1327292911 148 0050468794

-435 18169968 5069282536 1009961076 1110469491 124 0055584087

-506 15898722 5366466519 9824974252 8358329861 93 0061797258

-576 13627476 5650629511 9524222666 5350814002 60 0069889851

-647 1135623 5925601181 9224936269 2357950035 26 0081232383

-718 9084984 6195211195 8950577598 -0385636682 -04 0098520565

-788 6813738 6463289221 8720491453 -2686498134 -30 0127983956

-859 4542492 6733664927 8549904901 -4392363647 -49 0188220582

-929 2271246 701016798 8449927277 -5392139891 -60 0372039281

-999 2271246 7296628047 8427550178 -5615910879 -62 371054046

-6908317777 -2802634745 -3451357762 -1283409242 8989149085

Pump Curve Stats

Valve Case (Current Status)

y = -69083x4 - 28026x3 - 34514x2 - 12834x + 89891Rsup2 = 1

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

kW

Reduced Flow

Flow to kW

0

005

01

015

02

025

03

035

04

-1000 -500 00

kWhm3

Reduced Flow in

Flow to kWhm3

40

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Flow Power

Change Change

Design Point 0 000

-1 -349

-8 -2273

-15 -3923

-22 -5319

-29 -6483

-36 -7436

-44 -8199

-51 -8794

-58 -9240

-65 -9560

-72 -9775

-79 -9905

-86 -9972

-93 -9996

-100 -10000

Reduction in Flow m3Hour feet kW kW kW Reduction Efficiency

Q H P VFD Change in energy kWhm3

3406869 2302714859 8109377145

Design Point 00 3217674208 2718391597 8989141266 8989141266 0 0 0027936766

-12 31797444 2798276463 9135683447 8674982969 3141582974 3 0027282014

-82 29526198 3254009405 9827516218 6945676961 2043464305 23 0023523777

-153 27254952 3673743351 1024127987 5462963036 352617823 39 0020043928

-224 24983706 406130797 1042926107 420787257 4781268696 53 0016842468

-294 2271246 4420532929 1043962877 3161436942 5827704324 65 0013919395

-365 20441214 4755247895 1031643418 2304687531 6684453735 74 001127471

-435 18169968 5069282536 1009961076 1618655714 7370485552 82 0008908413

-506 15898722 5366466519 9824974252 1084372871 7904768395 88 0006820503

-576 13627476 5650629511 9524222666 6828703794 8306270887 92 0005010982

-647 1135623 5925601181 9224936269 3951796177 8593961648 96 0003479849

-718 9084984 6195211195 8950577598 2023319643 8786809302 98 0002227103

-788 6813738 6463289221 8720491453 0853587974 8903782469 99 0001252746

-859 4542492 6733664927 8549904901 0252914955 896384977 100 0000556776

-929 2271246 701016798 8449927277 0031614369 8985979829 100 0000139194

-999 2271246 7296628047 8427550178 0 8989141266 100 0

8989141282 2696742382 269674238 8989141266

Affinity Law Relationship

Pump Curve Stats

VFD Case (Proposed Case)

-12000

-10000

-8000

-6000

-4000

-2000

000

-120 -100 -80 -60 -40 -20 0 20

kW Change

Flow Change

Affinity Law Relationship

y = 89891x3 + 26967x2 + 26967x + 89891

0

10

20

30

40

50

60

70

80

90

100

-1200 -1000 -800 -600 -400 -200 00 200

Flow to kW

0

0005

001

0015

002

0025

003

-1200 -1000 -800 -600 -400 -200 00

Flow to kWhm3

41

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Reduction in Flow kW Efficiency kW Efficiency kWhHour $Hour

kWhm3 kWhm3

Design Point 00 8989141266 0027936766 8989141266 0027936766 00 $000

-12 9135683447 0028730874 8674982969 0027282014 46 $046

-82 9827516218 0033284056 6945676961 0023523777 288 $288

-153 1024127987 003757585 5462963036 0020043928 478 $478

-224 1042926107 0041744252 420787257 0016842468 622 $622

-294 1043962877 0045964324 3161436942 0013919395 728 $728

-365 1031643418 0050468794 2304687531 001127471 801 $801

-435 1009961076 0055584087 1618655714 0008908413 848 $848

-506 9824974252 0061797258 1084372871 0006820503 874 $874

-576 9524222666 0069889851 6828703794 0005010982 884 $884

-647 9224936269 0081232383 3951796177 0003479849 883 $883

-718 8950577598 0098520565 2023319643 0002227103 875 $875

-788 8720491453 0127983956 0853587974 0001252746 864 $864

-859 8549904901 0188220582 0252914955 0000556776 852 $852

-929 8449927277 0372039281 0031614369 0000139194 845 $845

-100 8427550178 371054046 0 0 843 $843

SavingsValve VFD

Comparison of Two Cases

0

005

01

015

02

025

03

035

04

-1000 -800 -600 -400 -200 00 200

kWhm3

Reduced Flow

VFD to Valve kWhm3Comparison

Valve

VFD 0

20

40

60

80

100

120

-1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

ValvekW

VFD kW

$000

$500

$1000

-1000 -800 -600 -400 -200 00 200

$Hour

Reduced Flow

Flow Reduction to Potential $Hour Savings

42

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Open Flow Rate

0 0

15 27000

25 40000

30 42000

35 47000

40 51000

45 53500

50 55000

55 57000

60 58500

65 61000

70 62000

75 62700

85 63600

100 64000

-1055500353 2981815011 -3561671034 2274095548 2902443192

8989141282 2696742382 269674238 8989141266

Pump Pump

Open Flow Rates given Flow Rates Calculated Closed Reduction in Flow kW with Valve kW with VFD kWhh Savings $h Savings

Design Point 100 64325 0 0 90 90 000 $000

95 64309 5 0 90 90 010 $001

90 64325 10 0 90 90 000 $000

85 63600 64019 15 0 90 89 188 $019

80 63445 20 -1 92 86 533 $053

75 62700 62641 25 -3 93 83 1001 $100

70 62000 61628 30 -4 95 79 1564 $156

65 61000 60411 35 -6 96 74 2202 $220

60 58500 58983 40 -8 98 69 2902 $290

55 57000 57315 45 -11 100 64 3654 $365

50 55000 55368 50 -14 102 57 4448 $445

45 53500 53083 55 -17 103 51 5269 $527

40 51000 50388 60 -22 104 43 6099 $610

35 47000 47193 65 -27 105 35 6904 $690

30 42000 43393 70 -33 104 28 7640 $764

25 40000 38868 75 -40 102 20 8247 $825

20 33481 80 -48 99 13 8665 $866

15 27000 27080 85 -58 95 7 8843 $884

10 19496 90 -70 90 3 8777 $878

5 10546 95 -84 86 0 8558 $856

0 0 0 100 -100 84 0 8428 $843

Given Values

Valve to Flow Rate Relationship

Valve position to flow rate relationship

VFD flow reduction to kw relationship

Area of Operation

y = -105550x4 + 298182x3 - 356167x2 + 227410x + 29024Rsup2 = 09988

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (GIVEN)

Rsup2 = 09999927123

0

10000

20000

30000

40000

50000

60000

70000

0 20 40 60 80 100 120

Valve Position to Flow Relationship (Corrected)

-20

0

20

40

60

80

100

120

-1200 -1000 -800 -600 -400 -200 00 200

Pump Demand

(kW)

Reduced Flow

Flow Reduction to Pump Demand

Old Valve Range

Old VFD Range

New Valve Range

New VFD Range

43

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

44

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices

Appendix D - Description of Rates

Time of Use

Time of use pricing (TOU) w as established t o more accurately depict the cost of generation at

different periods of the day and to divulge those costs appropriately to the customers that use

energy during high demand periods E nergy during the day has a much higher procurement cost

due to the intensity of the demand as more of the higher cost generators come online The day

was therefore divided into three periods On Mid and Off peak The rates for these periods are

evaluated b y the OEB and adjusted o n May 1st and Nov 1st of every year The price changes are

made in order to balance the costs of capital and operational expenses of generation

forecasted f or the next period It also takes into account over or under-estimation from the

previous period A graph depicting the general trend of TOU pricing has been presented below

Demand

With Utilities Kingston demand rates apply to facilities that consistently draw a peak demand

of 50 kW or more per month or are forecasted to do so These facilities are charged on their

largest 15 minute rolling average demand This class of consumption is again used to distinguish

and divulge charges to the higher demand customers Demand rates are regulated by the OEB

but not designated LDrsquos submit an application to the OEB for any rate increases needed to

cover the LDrsquos capital and operational expenses

45

  • Water and Wastewater Conservation and Demand Management Plan
  • Contents
  • Our Organization
  • Vision Statement
  • Goals and Objectives
  • Background Information
  • Regulatory Requirements
  • Letter from the President and CEO
  • Executive Summary
  • Current Energy Situation
  • Leadership and Structure of Current Energy management
  • Existing Strategy for Finding Conservation Measures
  • Existing Strategy for Analyzing and Implementing Measures
  • 2011 and 2012 Energy Benchmarks
  • What Wersquove Done in the Last Year
  • Preamble
  • Developed an Energy Management Team
  • Energy Management Meetings
  • Created a Centralized Location for Sewage Flow Data
  • Improved Metering Throughout the System
  • Produced Analytical Reports for our Largest Energy Consumers
  • Incorporating Efficiency into the Selection and Evaluation ofCapital Investments
  • Performed Facility Assessments
  • Implemented Demand Reduction Measures
  • Encouraged Staff Involvement Regarding Conservation Suggestions
  • What wersquove done in the last 5 years
  • Preamble
  • Separation of Combined Sewers
  • Water Conservation Efforts
  • Ravensview WWTP
  • River St SPS
  • What wersquore doing in the Next 5 years
  • Measures Still Under Investigation
  • Measures Planned to be Implemented and Their Savings Estimates
  • List of Acronyms
  • Appendices