Real-time control and optimization of WRRF targetingCombined ABAC-SRT control Ammonia Controller NH x set point Measured NH x SRT set point Optimizer Desired Average DO Concentration

Real-time control and

optimization of WRRF targeting

energy reduction

E. Belia, Primodal US Inc.

M. Lunn, City of Grand Rapids

2016 Sustainable Energy Seminar East Lansing, Michigan,

October 13, 2016

MWEA Sustainable Energy Seminar, East Lansing, Michigan, October 13, 2016

Plant dynamics


Dynamic process

modeling

Tools for real-time data quality and

plant control Monitoring & Control Platform

Control system

design and testing Optimization of

sensor maintenance Real-time data

quality of sensors Process monitoring

Decision support:

data to information (KPIs, benchmarking)

Process KPI1 KPI2

Nitrification kWh / lb NHx removed % TKN removal

Phosphorus removalMole metal / mole TP

removed% TP removal

Sludge productionlb dry sludge per kg influent

BOD

Lb sludge removed from the

secondary per lb of BOD going

to the primaries

Power consumption kW / MG treated kW / lb BOD or N

Peak factors (annual)

BOD, P, Ammonia

Annual maximum hourly

load rate / annual average

hourly load rate

$ / hourly average load

• Integration of expertise from

a number of fields

• Runs the plant


Real time plant-wide control

Disinfection (UV) SRT /

WAS

Grit aeration

Wet weather

operation

Aeration

control

Enhanced biological

phosphorus removal

Future

digestion

Future high strength

waste equalization

RAS


Aeration-RAS flow-Waste flow

Disinfection (UV) SRT /

WAS

Aeration

control

Enhanced biological

phosphorus removal

RAS


Ammonia based aeration control

150,000

200,000

250,000

300,000

350,000

400,000 DO (1,5)

DO (1,5)

DO (0.5,3)

Air

flo

w [N

m3/

d]

NO ABAC DW ABAC DW ABAC DW

16% 23%

PI

psig

Pressure Setpoint

7.35 psig

125 %

Blower CapacitySetpoint

300 %high

50 %low

MOV

PT

7.5

45 %

AT7

Valve Positions

43 %

AT8

47 %

AT9

44 %

AT10


Cost Comparison of two Control

Strategies

$0

$1,000

$2,000

$3,000

$4,000

$5,000

$6,000

$7,000

$8,000

$9,000

$10,000

0

500,000

1,000,000

1,500,000

2,000,000

2,500,000

3,000,000

3,500,000

4,000,000

4,500,000

12:00 AM 4:48 AM 9:36 AM 2:24 PM 7:12 PM 12:00 AM 4:48 AM

Aera

tio

n C

ost

($)

Air

Flo

w (

Nm

3/d

)

Time (d)

Airflow - DO setpointAirflow - Ammonia/DOAeration Cost - DO setpointAeration Cost - Ammonia/DO


Combined ABAC-SRT control

Ammonia Controller

NHx set point

Measured NHx

SRT set point Optimizer

Desired Average DO Concentration

SRT set pointSRT Controller

WAS Flow Rate

Calculated Dynamic SRT

DO set pointDO Controller

AirflowMeasured DO

Selects optimal SRT in context of desired DO set point

Schraa, O., Rieger, L. and Alex, J. (2016). Coupling SRT Control with Aeration Control Strategies. Proceedings

of WEFTEC.16, New Orleans, LA, USA.


UV dose control based on E.coli

signal


High strength waste flow - Centrifuges

Enhanced biological

phosphorus removal

Future

digestion

Future high strength

waste equalization


VFA signal used for centrifuge

operation and bio-P control

0

2

4

6

8

10

12

14

16

5/14/2016 5/16/2016 5/18/2016 5/20/2016 5/22/2016 5/24/2016

VFA

co

nce

ntr

atio

n (

mg

/L)

Date


High strength waste load equalization

based on influent COD signal

Simulated airflow

Measured airflow


Future digestion and carbon

diversion


Monitoring and Control Savings

• South Plant ammonia based aeration

control: $60,800 /year

• UV e-coli based control: $65,000 /year

• North Plant ammonia based aeration

control (estimate): $53000 /year

• Headworks monitoring: 1.5 FTE’s &

$60,000 in analytical costs /year


Presenter contact information

Evangelina Belia Ph.D., P. Eng.

Primodal Inc.

US & Canada

[email protected]

www.primodal.com

Documents

Real-time control and optimization of WRRF targetingCombined ABAC-SRT control Ammonia Controller NH x set point Measured NH x SRT set point Optimizer Desired Average DO Concentration