Upload
vunhan
View
216
Download
0
Embed Size (px)
Citation preview
-2500
-2000
-1500
-1000
-500
0
500
1000
1500
2000
-30
0
0
0
-2
-1
10
20
30
40
50
60
[Type a quote from the document
or the summary of an interesting
point You can position the text
box anywhere in the document
Use the Drawing Tools tab to
change the formatting of the pull
quote text box]
[Type a quote from the document
or the summary of an interesting
point You can position the text
box anywhere in the document
Use the Drawing Tools tab to
change the formatting of the pull
quote text box]
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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