Optimization of Pump Operation Using Rule-Based Controls in EPANET2: New ETTAR Toolkit and Correction of Energy Computation
Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 7
Abstract
The optimization of pump operations has the potential to reduce operational costs, while still maintaining the high level of reliability required of water distribution systems. The hydraulic software EPANET2 toolkit has been frequently linked to evolutionary algorithms for this purpose; however, only time-based controls and simple controls based on one single condition, e.g., the tank level, could be automatically changed during the optimization. This paper introduces a modification to the original EPANET2 toolkit library, so that the operation of pumps can be optimized taking into account simultaneously several conditions (e.g., the time of the day and the tank level). A problem in the original toolkit associated with computing pump energy and costs using rule-based controls has also been solved. The new ETTAR toolkit has been tested on a case study, in which a genetic algorithm has been used to optimize different types of controls. Results show that it is possible to find more cost-effective solutions compared to simple controls and, although with longer computational times, let the algorithm create the entire pump control rule set. The robustness of the optimized controls found has also been tested.
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Acknowledgments
This research is part of Project C5.1 Intelligent Urban Water Systems funded by the Cooperative Research Centre for Water Sensitive Cities. The authors would like to thank the reviewers for their help in improving the quality of this paper.
References
Arbon, N., Thyer, M., Hatton MacDonald, D., Beverley, K., and Lambert, M. (2014). “Understanding and predicting household water use for Adelaide.”, Goyder Institute for Water Research, Adelaide, SA, Australia.
Behandisha, M., and Wu, Z. Y. (2014). “Concurrent pump scheduling and storage level optimization using meta-models and evolutionary algorithms.” Procedia Eng., 70, 103–112.
Boulos, P., Wu, Z. Y., Orr, C., Moore, M., Hsiung, P., and Thomas, D. (2001). “Optimal pump operation of water distribution systems using genetic algorithms.” AWWA Distribution System Symp., American Water Works Association, Denver.
Brattle Group. (2006). “Why are electricity prices increasing? An industry-wide perspective.” 〈http://www.edisonfoundation.net/iei/Documents/Electricity_Prices_Increasing_Brattle.pdf〉 (Mar. 12, 2014).
ESAA (Energy Supply Association of Australia). (2012). “Electricity price growth.” 〈http://www.esaa.com.au/Library/PageContentFiles/64b28ac8-0cad-4f90-85fd-cc493840aa1f/121017_Electricity_Price_Growth.pdf〉 (Mar. 12, 2014).
Giacomello, C., Kapelan, Z., and Nicolini, M. (2013). “Fast hybrid optimization method for effective pump scheduling.” J. Water Resour. Plann. Manage., 175–183.
Goldberg, D. E., and Kuo, G. H. (1987). “Genetic algorithms in pipeline optimization.” J. Comput. Civ. Eng., 128–141.
Ibarra, D., and Arnal, J. (2014). “Parallel programming techniques applied to water pump scheduling problems.” J. Water Resour. Plann. Manage., 06014002.
Kazantzis, M. D., Simpson, A. R., Kwong, D., and Tan, S. M. (2002). “A new methodology for optimizing the daily operations of a pumping plant.” Proc., Conf. on Water Resources Planning and Management, ASCE, Roanoke, VA.
López-Ibáñez, M. (2009). “Operational optimisation of water distribution networks.” Ph.D. thesis, School of Engineering and the Built Environment, Edinburgh Napier Univ., U.K.
López-Ibáñez, M., Devi Prasad, T., and Paechter, B. (2008). “Ant colony optimization for optimal control of pumps in water distribution networks.” J. Water Resour. Plann. Manage., 337–346.
Mackle, G., Savic, D., and Walters, G. A. (1995). “Application of genetic algorithms to pump scheduling for water supply.” 1st Int. Conf. on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA), IET, London, 400–405.
Mala-Jetmarova, H., Barton, A., and Bagirov, A. (2015). “Exploration of the trade-offs between water quality and pumping costs in optimal operation of regional multiquality water distribution systems.” J. Water Resour. Plann. Manage., 04014077.
Marchi, A., and Simpson, A. R. (2013). “Correction of the EPANET inaccuracy in computing the efficiency of variable speed pumps.” J. Water Resour. Plann. Manage., 456–459.
Martinez, F., Hernandez, V., Alonso, J. M., Rao, Z., and Alvisi, A. (2007). “Optimizing the operation of the Valencia water distribution network.” J. Hydroinf., 9(1), 65–78.
McCormick, G., and Powell, R. (2003). “Optimal pump scheduling in water supply systems with maximum demand charges.” J. Water Resour. Plann. Manage., 372–379.
Nicklow, J., et al. (2010). “State of the art for genetic algorithms and beyond in water resources planning and management.” J. Water Resour. Plann. Manage., 412–432.
Odan, F., Ribeiro Reis, L., and Kapelan, Z. (2015). “Real-time multiobjective optimization of operation of water supply systems.” J. Water Resour. Plann. Manage., 04015011.
Ormsbee, L. E., and Lansey, K. E. (1994). “Optimal control of water supply pumping systems.” J. Water Resour. Plann. Manage., 237–252.
Pasha, M., Fayzul, K., and Lansey, K. (2014). “Strategies to develop warm solutions for real-time pump scheduling for water distribution systems.” J. Water Resour. Manage., 28(12), 3975–3987.
Price, E., and Ostfeld, A. (2014). “Discrete pump scheduling and leakage control using linear programming for optimal operation of water distribution systems.” J. Hydraul. Eng., 04014017.
Reca, J., García-Manzano, A., and Martínez, J. (2014). “Optimal pumping scheduling for complex irrigation water distribution systems.” J. Water Resour. Plann. Manage., 630–637.
Rossman, L. A. (2000). “EPANET2 user’s manual.” National Risk Management Research Laboratory, USEPA, Cincinnati.
Sadatiyan Abkenar, S. M., Stanley, S. D., Miller, C. J., Chase, D. V., and McElmurry, S. P. (2014). “Evaluation of genetic algorithms using discrete and continuous methods for pump optimization of water distribution systems.” Sustainable Comput. Inform. Syst., 8, 18–23.
Salomons, E., Goryashko, A., Shamir, U., Rao, Z., and Alvisi, S. (2007). “Optimizing the operation of the Haifa—A network.” J. Hydroinf., 9(1), 51–64.
Savic, D. A., Walters, G. A., and Schwab, M. (1997). “Multiobjective genetic algorithms for pump scheduling in water supply.” Evol. Comput., 1305, 227–236.
Shamir, U., and Salomons, E. (2008). “Optimal real-time operation of urban water distribution systems using reduced models.” J. Water Resour. Plann. Manage., 181–185.
Stokes, C., Maier, H., and Simpson, A. (2014). “Water distribution system pumping operational greenhouse gas emissions minimization by considering time-dependent emissions factors.” J. Water Resour. Plann. Manage., 04014088.
Thyer, M. A., Micevski, T., Kuczera, G. A., and Coombes, P. (2011). “A behavioural approach to stochastic end use modeling.” Australia’s National Water Conf. and Exhibition, Australian Water Association, Adelaide, SA, Australia.
van Zyl, J. E., Savic, D. A., and Walters, G. A. (2004). “Operational optimization of water distribution systems using a hybrid genetic algorithm.” J. Water Resour. Plann. Manage., 160–170.
Vörösmarty, C. J., Green, P., Salisbury, J., and Lammers, R. B. (2000). “Global water resources: Vulnerability from climate change and population growth.” Science, 289(5477), 284–288.
Wu, P., Lai, Z., Wu, D., and Wang, L. (2015). “Optimization research of parallel pump system for improving energy efficiency.” J. Water Resour. Plann. Manage., 04014094.
Wu, W., Maier, H. R., and Simpson, A. R. (2012a). “Sensitivity of optimal tradeoffs between cost and greenhouse gas emissions for water distribution systems to electricity tariff and generation.” J. Water Resour. Plann. Manage., 182–186.
Wu, W., Simpson, A., Maier, H., and Marchi, A. (2012b). “Incorporation of variable-speed pumping in multiobjective genetic algorithm optimization of the design of water transmission systems.” J. Water Resour. Plann. Manage., 543–552.
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Published In
Journal of Water Resources Planning and Management
Volume 142 • Issue 7 • July 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Jul 24, 2015
Accepted: Nov 12, 2015
Published online: Feb 8, 2016
Published in print: Jul 1, 2016
Discussion open until: Jul 8, 2016
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