Optimal Dynamic Pump Triggers for Cost Saving and Robust Water Distribution System Operations
Publication: Journal of Water Resources Planning and Management
Volume 145, Issue 2
Abstract
In water distribution systems, pumps are used for supplying water from low points to elevated tanks that supply the network’s demands. The pumps are operated in different ways that could be distinguished by the complexity of the required control system. Such control systems range from pressure and time-based controls, through simple fixed ON-OFF trigger levels (e.g., a bang-bang controller) to complex online pump optimization schemes based on water demand predictions [e.g., the model predictive controller (MPC)]. In this study, we propose an off-line optimization method that utilizes dynamic trigger levels for pump operations. More specifically, these trigger dynamics are optimized according to electricity tariff structure, pump operation conditions, and long demand series in order to allow a more robust operation. We also provide a multiobjective analysis for the optimization problem and analyze the impact of different objectives on the obtained solution. In addition, the methodology is also demonstrated on real-world data.
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Acknowledgments
This study was supported by the Israeli Water Authority (contract number 4501284516).
References
AbdelMeguid, H., and B. Ulanicki. 2010. “Feedback rules for operation of pumps in a water supply system considering electricity tariffs.” In Proc., Water Distribution Systems Analysis 2010, 1188–1205. Reston, VA: ASCE.
Alvisi, S., and M. Franchini. 2017. “A robust approach based on time variable trigger levels for pump control.” J. Hydroinf. 19 (6): 811–822. https://doi.org/10.2166/hydro.2017.141.
Baran, B., C. Von Lucken, and A. Sotelo. 2005. “Multi-objective pump scheduling optimisation using evolutionary strategies.” Adv. Eng. Software 36 (1): 39–47. https://doi.org/10.1016/j.advengsoft.2004.03.012.
Bene, J. G., I. Selek, and C. Hős. 2013. “Comparison of deterministic and heuristic optimization solvers for water network scheduling problems.” Water Sci. Technol. Water Supply 13 (5): 1367–1376. https://doi.org/10.2166/ws.2013.148.
Blinco, L. J., A. R. Simpson, M. F. Lambert, and A. Marchi. 2016. “Comparison of pumping regimes for water distribution systems to minimize cost and greenhouse gases.” J. Water Resour. Plann. Manage. 142 (6): 04016010. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000633.
Boulos, P. F., Z. Wu, C. H. Orr, M. Moore, P. Hsiung, and D. Thomas. 2002. “Optimal pump operation of water distribution systems using genetic algorithms.” Accessed March 1, 2018. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.114.1935&rep=rep1&type=pdf.
Carpentier, P., and G. Cohen. 1993. “Applied mathematics in water supply network management.” Automatica 29 (5): 1215–1250. https://doi.org/10.1016/0005-1098(93)90048-X.
Cohon, J. L. 1978. “Multiobjective analysis of facility location problems.” Vol. 140 of Multiobjective programming and planning: Mathematics in science and engineering, 281–314. New York: Academic Press.
Creaco, E., E. Lanfranchi, C. Chiesa, M. Fantozzi, C. A. Carrettini, and M. Franchini. 2016. “Optimisation of leakage and energy in the Abbiategrasso district.” Civ. Eng. Environ. Syst. 33 (1): 22–34. https://doi.org/10.1080/10286608.2015.1135136.
Kazantzis, M. D., A. R. Simpson, D. Kwong, and S. M. Tan. 2002. “A new methodology for optimizing the daily operations of a pumping plant.” In Proc., Conf. on Water Resources Planning and Management. Reston, VA: ASCE.
Lansey, K., and K. Awumah. 1994. “Optimal pump operations considering pump switches.” J. Water Resour. Plann. Manage. 120 (1): 17–35. https://doi.org/10.1061/(ASCE)0733-9496(1994)120:1(17).
Little, K. W., and B. J. McCrodden. 1989. “Minimization of raw water pumping costs using MILP.” J. Water Resour. Plann. Manage. 115 (4): 511–522. https://doi.org/10.1061/(ASCE)0733-9496(1989)115:4(511).
López-Ibáñez, M., T. D. Prasad, and B. Paechter. 2008. “Ant colony optimization for optimal control of pumps in water distribution networks.” J. Water Resour. Plann. Manage. 134 (4): 337–346. https://doi.org/10.1061/(ASCE)0733-9496(2008)134:4(337).
Mala-Jetmarova, H., N. Sultanova, and D. Savic. 2017. “Lost in optimisation of water distribution systems? A literature review of system operation.” Environ. Modell. Software 93: 209–254. https://doi.org/10.1016/j.envsoft.2017.02.009.
Marchi, A., A. R. Simpson, and M. F. Lambert. 2016. “Optimization of pump operation using rule-based controls in EPANET2: New ETTAR toolkit and correction of energy computation.” J. Water Resour. Plann. Manage. 142 (7): 04016012. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000637.
Ormsbee, L., S. Lingireddy, and D. Chase. 2009. “Optimal pump scheduling for water distribution systems.” Accessed November 20, 2018. http://mistaconference.org/2009/papers/341-356-072-P.pdf.
Ormsbee, L. E., and K. E. Lansey. 1994. “Optimal control of water supply pumping systems.” J. Water Resour. Plann. Manage. 120 (2): 237–252. https://doi.org/10.1061/(ASCE)0733-9496(1994)120:2(237).
Paschke, M., K. Spencer, N. Waniarcha, A. R. Simpson, and T. Widdop. 2001. “Genetic algorithms for optimising pumping operations.” In Proc., 19th Federal Convention. Canberra, Australia: Australian Water Association.
Sanks, R. L., G. Tchobanoglous, B. E. Bosserman II, and G. M. Jones, eds. 1998. Pumping station design. 2nd ed. Woburn, MA: Butterworth-Heinemann.
Savic, D. A., G. A. Walters, and M. Schwab. 1997. “Multiobjective genetic algorithms for pump scheduling in water supply.” In Proc., AISB Int. Workshop on Evolutionary Computing, 227–235. Berlin: Springer.
Wood, D. J. 2005. “Waterhammer analysis: Essential and easy (and efficient).” J. Environ. Eng. 131 (8): 1123–1131. https://doi.org/10.1061/(ASCE)0733-9372(2005)131:8(1123).
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©2018 American Society of Civil Engineers.
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Received: Apr 6, 2018
Accepted: Aug 3, 2018
Published online: Nov 30, 2018
Published in print: Feb 1, 2019
Discussion open until: Apr 30, 2019
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