Thesis ProposalENHANCED PUMP SCHEDULE OPTIMIZATION FOR

LARGE WATER DISTRIBUTION NETWORKS TO

MAXIMIZE ENVIRONMENTAL & ECONOMIC BENEFITS

By: S. Mohsen Sadatiyan A.

Advisor: Carol J. Miller

0

Outline 1

What is it and Why is it worth studying

Background of the Subject

Research gaps

Our proposal for further studies

2 3Slides &

4 8Slides to

9Slide

10 19Slides to

Need for Optimizing Pump

Operation

2% of U.S. electricity used for Public water

& wastewater services

More than 50% increase in energy

consumption by 2050

Electricity Bill: ¾ of the operating costs of

municipal water facilities

optimizing pump operation can result in

10% reduction of the annual energy

related costs

Water

treatment

14%

Finished

water

pumping

67

67%

Raw water

puming

11%

In-plant

water

pumping

8%

Relative Energy Consumption in Water

Treatment

2

EWRI. (2014).

What Do We Mean By “Optimization”

Satisfying required pressure and flow demand

3

Optimization Objectives 4

Generating a New Pump Schedule

Calculating Flow, Pressure, Tank Level, energy

Usage, etc.

Calculating Pollutant Emission

Evaluate &Compare

Results

Creating The Initial Pump

Schedule

Reporting final Pump Schedule

Optimal Pumping Schedule

reduce total pumping cost

shift pump operation (time &

space)

change in energy cost by

time

reduce pollutant emission

shift energy demand (time &

space)

change in pollution emission

by timemeet system

requirements

with different

set of

operation schedules

optimal pump schedule

minimum energy demand, cost &

associated pollutant emissions

PEPSO V 1.0 Development PEPSO: Pollutant Emission & Pump Station Optimization

2 drinking water systems within the Great Lakes watershed

PEPSO V0.4~0.4.5 PEPSO V0.8~0.8.0.3

Visual interface

Modified Crossover &

Mutation

Quasi-Newton Method Multi-

Objective

Variable speed pump

Genetic Algorithm

Binary

&

Real number

Feasible solution

(2013)

PEPSO V0.1~0.3

POPInitial Pump Optimization Program

(2008)

User Interface & Options of PEPSO V1.0

• Electricity cost pattern

• Pollutant selection

• Power grid data

• GA parameters

• Objective function

weights

Outputs of PEPSO V1.0• Pump schedule

• Optimization trends

• Pressure control results

• Detailed output report

PEPSO V1.0 Outputs

Optimum pump schedule

PEPSO V1.0 Outputs

Optimum pump schedule

PEPSO V1.0 Outputs

Objective Function Minimization

PEPSO V1.0 Outputs

Junction Pressure Constraints

PEPSO Empowered by LEEM

Research Gap 7

Spatial & Temporal variability of pollutant emission

Optimizing large WDS

Considering practical usage of the output of optimization process

Using metamodel-embedded evolution framework

Helping user to select the optimum result among solutions of Pareto front

Need to Improve

Supporting complicated electricity tariffs for each pump

Better tank level control

Better pump switches control

Take into account power demand cost

More user friendly environment

Getting real time environmental data from LEEM server

Market Needs

Simpler optimizer

Default optimization options and one click optimization

Faster optimizer

Considering effect of control valves (e.g. throttling

valves)

Considering all system constraints

Water quality issue and stored water circulation

Maintaining required level of stored water in tanks

Considering minimum speed of each VFD

Considering size and age of pumps

Entering Market Challenges

Up-to-date, accurate and calibrated hydraulic model

Reliable water demand prediction or historic data

Accessing to SCADA system for real-time optimization

Unfamiliarity of operators with hydraulic models and design or

optimization software

Lack of accurate information about pumps efficiency

System capability for optimization (e.g. enough elevated storage)

Other type of energy waste that aren’t directly related to pump

schedule (e.g. head loss at tank inlet, inefficient pump sizing,

unnecessary pressure demand)

Better LEEM

More area coverage

More sensitive and accurate marginal generator finder

More accurate pollutant emission calculation

More pollutant

More reliable & clear data providing format

Research Hypothesis 8

It is possible to develop a

pump operation optimization

tool that decreases both

energy usage and related

pollutant emissions for real

WDSs within a reasonable

time and generate practical

pump schedule

Methodology 9

• Optimizer algorithm

• Hydraulic simulator

Programing

• WDSs models

• Best known solutions and real data

Preparing test cases

• Testing

• Comparing & analyzing results

Testing and analyzing result

Developing the Optimization Tool

PEPSO V1 PEPSO V2Restructuring to Modular

Design

Embedding ANN

Live Optimization

Parameter Adjustment

Replacing GA with NSGA II

Local Search & Polishing Near

Optimum Result

Complicated Tariff

CalculationLive

Connection to LEEM

Pump Operation

Constraints

Tank Level Constraints

10

Research Plan for PEPSO V2.0

Connecting Optimizer to

LEEM

Preparing Multiobjective Optimization

Code

Preparing Metamodel Creator Tool

Designing and Preparing Test

Cases

Developing Optimizer Tool

Adding Constraints and

Heuristics to Optimization

Algorithm

Testing Optimization

Tools

Analyzing and Comparing

Results

Phase I Phase II Phase III

14

More efficient

Engineering heuristic

Faster hydraulic simulator

More aware about pump conditions & system constraints

More user friendly

Simpler & graphical interface

Easier project saving, running & storing options (research & market)

Easier connection to LEEM

Next PEPSO

(PEPSO V2.0)

15