Thesis Proposal ENHANCED PUMP SCHEDULE OPTIMIZATION FOR LARGE WATER DISTRIBUTION NETWORKS TO MAXIMIZE ENVIRONMENTAL & ECONOMIC BENEFITS

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1 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

2 Outline 1 What is it and Why is it worth studying Slides 2 & 3 Background of the Subject Slides 4 to 8 Research gaps Slide 9 Our proposal for further studies Slides to 10 19

3 Need for Optimizing Pump 2 Operation Relative Energy Consumption in Water Treatment EWRI. (2014). 2% of U.S. electricity used for Public water & wastewater services More than 50% increase in energy consumption by 2050 Raw water puming 11% In-plant water pumping 8% Water treatment 14% 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 Finished water pumping 67 67%

4 What Do We Mean By Optimization 3 Satisfying required pressure and flow demand

5 Optimization Objectives 4 Creating The Initial Pump Schedule Calculating Flow, Pressure, Tank Level, energy Usage, etc. Calculating Pollutant Emission Evaluate &Compare Results Generating a New Pump Schedule Reporting final Pump Schedule

6 Optimal Pumping Schedule change in energy cost by time shift pump operation (time & space) meet system requirements with different set of operation schedules change in pollution emission by time shift energy demand (time & space) reduce total pumping cost optimal pump schedule minimum energy demand, cost & associated pollutant emissions reduce pollutant emission

7 PEPSO V 1.0 Development PEPSO: Pollutant Emission & Pump Station Optimization 2 drinking water systems within the Great Lakes watershed POP Initial Pump Optimizatio n Program (2008) Quasi- Newton Method Variable speed pump Multi- Objective Genetic Algorithm Visual interface Modified Crossover & Mutation Binary & Real number Feasible solution (2013) PEPSO V0.1~0.3 PEPSO V0.4~0.4.5 PEPSO V0.8~

8 User Interface & Options of PEPSO V1.0 Electricity cost pattern Pollutant selection Power grid data GA parameters Objective function weights

9 Outputs of PEPSO V1.0 Pump schedule Optimization trends Pressure control results Detailed output report

10 PEPSO V1.0 Outputs Optimum pump schedule

11 PEPSO V1.0 Outputs Optimum pump schedule

12 PEPSO V1.0 Outputs Objective Function Minimization

13 PEPSO V1.0 Outputs Junction Pressure Constraints

14 PEPSO Empowered by LEEM

15 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

16 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

17 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

18 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)

19 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

20 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

21 Methodology 9 Optimizer algorithm Hydraulic simulator Programing Preparing test cases WDSs models Best known solutions and real data Testing Comparing & analyzing results Testing and analyzing result

22 Developing the Optimization Tool 10 Live Connection to LEEM Replacing GA with NSGA II Complicated Tariff Calculation PEPSO V1 Restructuring to Modular Design Local Search & Polishing Near Optimum Result Embedding ANN PEPSO V2 Tank Level Constraints Pump Operation Constraints Live Optimization Parameter Adjustment

23 Research Plan for PEPSO V Phase I Phase II Phase III Preparing Metamodel Creator Tool Adding Constraints and Heuristics to Optimization Algorithm Connecting Optimizer to LEEM Preparing Multiobjective Optimization Code Developing Optimizer Tool Designing and Preparing Test Cases Testing Optimization Tools Analyzing and Comparing Results

24 Next PEPSO (PEPSO V2.0) 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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