1. Fatemeh Alighalehbabakhani Carol J. Miller Shawn McElmurry S. Mohsen Sadatiyan A.

2. 1 IntroductionCase Study Computational Engines Result and Conclusion

3. 2 Environmental Hazard of Energy Energy CostsEnergy Used

4. 3 Environmental Benefit Cost Reduction Increased Sustainability

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6. 5 Service Area Completely served Areas City of Monroe City of Petersburg Monroe Charter Township Raisinville Township Village of Dundee Maybee Partially Served Area LaSalle Exeter London Ida Townships

7. 6 ItemsUnitAmount Maximum Pipe Diameter Inches99 Minimum Pipe Diameter Inches2 PipesNumber1,943 Constant Speed Pumps Number11 Variable Speed Pumps Number2 Elevated TanksNumber3

8. 7 Tank NameMin Water Elevation (ft) Max Water Elevation (ft) Volume ( MG) T- 2741.25772.000.25 T- 3772.50797.000.25 T- 5713.25745.500.54

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12. 11 Average daily variation in hydraulic demand for the Monroe system in 2005 On- Peak Hours for Hydraulic Demand On- Peak Hours for Energy Demand

13. 3  Reduce Energy Cost  Reduce Emission These tanks could supply water during on-peak hours and be refilled during off-peak hours to minimize costs and emission. 12

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16. 15 Run No. Name of Run Capacity of Tank 2 (MG) Capacity of Tank 3 (MG) Capacity of Tank 5 (MG) Total Capacity (MG) 1Base0.25 0.541.04 2Second Run0.54 1.62 3Third Run0.25 1.081.58 4Fourth Run0.54 1.082.16

17. 16 ItemUnitBase RunSecond RunThird RunFourth Run Daily cost$209196205197 Pump cost$217201212201 Storage cost$8574 Energy usedKWh/MG600568596571 Energy cost$/MG242324 Carbon emissionlb/day10,3009,50010,1009,600 On-peak pump use%38333633.5

18. 17 Increased Tank Capacity Decrease Energy Cost Decrease Energy Consumption Decrease Emission

19. Not all elevated storage tanks provide the same amount of reductions in energy consumption, financial costs or pollutant emissions. Modeling similar to what has been presented here can identify the optimal tank size and system scheduling for maximized benefit. 18

20. Thanks for your attention 19

21. 20 First Run (Base Run) Second Run

22. 21 Third Run Fourth Run

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24. 23 TimePMP-544W-12E-3W-11E-4W-10E-5W-9E-6W-8E-7PMP-9E-2 00.85000000010000 10000000000100 1.790000000000100 20100001000010 2.450100001000010 30.9000000001010 40000100000000 50100000000000 601000010000 0 70.95100000001000 80.7100000001000 9010000000100.950 100.65100000000000 110.9100100001000 120100000000000 13000000000100.70 13.21000000000100.70 14010000000100.80 150.8500000000100.950 16010000000000.750 170.800000000100.750 18000000000100.850 190100001000000 201100000000100 210.95000000001000 22010000000100.650 230.95000000001000 23.850.95000000001000 240.85000000010000

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26. 25 TimePMP-544W-12E-3W-11E-4W-10E-5E-7W-9 -E-6W-8PMP-9E-2 00.75100000000000 1 100000000000 20.95000000000100 3000000000010.650 40000000000000 5000010000000.80 61111000000000 7010000000000.851 8010000000010.90 9010000000000.650 10010000000010.850 110100000000000 120.65000000000100 12.750.65000000000100 130.8000000000100 140.7000000000100 15010000000010.950 16010000000000.650 17001000000010.950 180100000000000 190.65000000000100 19.410.65000000000100 200.65100000000000 210100000000110 22000000000010.80 23000000000010.950 240.75100000000000

27. 26

28. TimeE-7PMP-544W-12E-3W-11E-4W-10E-5W-9 -E-6W-8PMP-9E-2 00010000000000 0.10010000000000 100.910000100000 1.7600.910000100000 2000000000010.70 30110000000000 40000000000000 510.9510000000000 6000000000010.80 700.8500000000100 810.7510000000000 900.6510000000000 100000000000100 110010000000000 120010010001010 12.670010010001010 13000000000010.70 14000000000010.90 15101000000000.750 1600.95100000001 0 17101000000000.70 1800.850000000010.750 1900.950000000010.90 200000000000100 210010000100110 22001000000010.850 2300.7500000000100 240010000000000 27

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30. Time PMP- 544 W-12E-3W-11E-4W-10E-5W-9E-6W-8E-7PMP-9E-2 00.75100000000000 1 100000000000 20.95000000001000 3000000000100.650 40000000000000 5000010000000.80 61111000000000 7010000000000.851 8010000000100.90 9010000000000.650 10010000000100.850 110100000000000 120.65000000001000 12.640.65000000001000 130.8000000001000 140.7000000001000 15010000000100.950 16010000000000.650 17001000000100.950 180100000000000 190.65000000001000 19.350.65000000001000 200.65100000000000 210100000001010 22000000000100.80 23000000000100.950 240.75100000000000 29