Thesis Proposal ENHANCED PUMP SCHEDULE OPTIMIZATION FOR LARGE WATER - - PowerPoint PPT Presentation
0 Thesis Proposal ENHANCED PUMP SCHEDULE OPTIMIZATION FOR LARGE WATER DISTRIBUTION NETWORKS TO MAXIMIZE ENVIRONMENTAL & ECONOMIC BENEFITS By: S. Mohsen Sadatiyan A. Advisor: Carol J. Miller Outline 1 What is it and Why is it worth
ENHANCED 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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What is it and Why is it worth studying Background of the Subject Research gaps Our proposal for further studies
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Slides to
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
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
Satisfying required pressure and flow demand
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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
reduce total pumping cost shift pump
space) change in energy cost by time reduce pollutant emission shift energy demand (time & space) change in pollution emission by time meet system requirements with different set of
schedules
schedule minimum energy demand, cost & associated pollutant emissions
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
POP
Initial Pump Optimizatio n Program (2008)
weights
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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
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
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
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
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)
More area coverage More sensitive and accurate marginal generator finder More accurate pollutant emission calculation More pollutant More reliable & clear data providing format
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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
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algorithm
simulator Programing
solutions and real data Preparing test cases
analyzing results Testing and analyzing result
PEPSO V1
Restructuring to Modular Design Embedding ANN Live Optimization Parameter Adjustment
Replacing GA with NSGA II
Local Search & Polishing Near Optimum Result
Complicated Tariff Calculation
Live Connection to LEEM
Pump Operation Constraints
Tank Level Constraints
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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
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