Thesis ProposalENHANCED PUMP SCHEDULE OPTIMIZATION FOR
LARGE WATER DISTRIBUTION NETWORKS TO
MAXIMIZE ENVIRONMENTAL & ECONOMIC BENEFITS
By: S. Mohsen Sadatiyan A.
Advisor: Carol J. Miller
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Outline 1
What is it and Why is it worth studying
Background of the Subject
Research gaps
Our proposal for further studies
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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
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EWRI. (2014).
What Do We Mean By “Optimization”
Satisfying required pressure and flow demand
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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
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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
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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)
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