Cost-Efficient Algorithms for a Pump Horizon Control in Water Supply System
Publication: Journal of Water Resources Planning and Management
Volume 148, Issue 1
Abstract
Modern cities have water supply systems (WSS) that reliably meet the water demand of every individual household. If inefficiently managed, these energy-consuming systems can become very costly. To produce the most cost-efficient operational strategies, many techniques using emerging computer power, simulation technologies, and sensing devices have been developed. Some of these techniques rely on water consumption predictions to provide optimal pumping strategies. However, predicted consumptions contain errors, and these techniques do not automatically adjust to sudden changes in demand. To solve this problem, a cost-adaptive finite-horizon controller to efficiently update the pumping operation strategy based on monitored deviations against the predicted consumption is proposed. This methodology takes into account the tariffs of electricity over time and an optimized reference to continuously make the most cost-efficient updates in the pumping strategy. To validate the cost-adaptive controller, two case studies were used: (1) a single pump-tank network; and (2) the Richmond benchmark network. Both evaluations delivered positive results achieving the desired control reliability while improving cost efficiency. The combination of water consumption predictions and adaptive control methodologies provides a reliable and cost-efficient solution for the automatic operation of WSS.
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Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors gratefully acknowledge the financial support of the Portuguese Foundation for Science and Technology (FCT) and UE/FEDER through the programs CENTRO 2020 and COMPETE 2020 and UID/EMS/00481/2013-FCT under CENTRO-01-0145-FEDER-022083 and Programa Operacional Regional do Centro, through the project I-RETIS-WATER, financially supported through Sistema de Incentivos à Investigação e Desenvolvimento Tecnológico do Programa Portugal 2020–Aviso 17/SI/2019, Project No. 69857.
References
Andrade-Campos, A., and J. Dias-de Oliveira. 2018. Benchmark 2018: Efficient pumping operation—Minimization of the pumping costs. [In Portuguese.]. Aveiro, Portugal: Univ. of Aveiro.
Antunes, A., A. Andrade-Campos, A. Sardinha-Lourenço, and M. Oliveira. 2018. “Short-term water demand forecasting using machine learning techniques.” J. Hydroinf. 20 (6): 1343–1366. https://doi.org/10.2166/hydro.2018.163.
Bakker, M., J. Vreeburg, K. van Schagen, and L. Rietveld. 2013. “A fully adaptive forecasting model for short-term drinking water demand.” Environ. Modell. Software 48 (Oct): 141–151. https://doi.org/10.1016/j.envsoft.2013.06.012.
Bhave, P. R., and R. Gupta. 2006. Analysis of water distribution networks. New York: Alpha Science International.
Byrd, R. H., M. E. Hribar, and J. Nocedal. 1999. “An interior point algorithm for large-scale nonlinear programming.” SIAM J. Optim. 9 (4): 877–900. https://doi.org/10.1137/S1052623497325107.
Cimorelli, L., A. D’Aniello, and L. Cozzolino. 2020. “Boosting genetic algorithm performance in pump scheduling problems with a novel decision-variable representation.” J. Water Resour. Plann. Manage. 146 (5): 04020023. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001198.
Coelho, B. 2016. “Energy efficiency of water supply systems using optimisation techniques and micro-hydroturbines.” Ph.D. thesis, Dept. of Mechanical Engineering, Univ. of Aveiro.
Coelho, B., and A. Andrade-Campos. 2014. “Efficiency achievement in water supply systems—A review.” Renewable Sustainable Energy Rev. 30 (Feb): 59–84. https://doi.org/10.1016/j.rser.2013.09.010.
Conn, A. R., N. I. Gould, and P. L. Toint. 2000. 2: Basic concepts, 15–23. Philadelphia: Society for Industrial and Applied Mathematics.
Costa, L., B. de Athayde Prata, H. Ramos, and M. H. de Castro. 2016. “A branch-and-bound algorithm for optimal pump scheduling in water distribution networks.” Water Resour. Manage. 30 (3): 1037–1052. https://doi.org/10.1007/s11269-015-1209-2.
ERSAR (Entidade Reguladora dos Serviços de Águas e Resíduos). 2020. Relatório anual dos serviços de Águas e resíduos em portugal, volume 1—Caraterização do setor de águas e resíduos. [In Portuguese.]. Lisboa, Portugal: ERSAR.
Evans, R., L. Li, I. Mareels, N. Okello, M. Pham, W. Qiu, and S. K. Saleem. 2012. Real-time optimal control of river basin networks, 403–421. London: Springer.
Feldman, M. 2009. “Aspects of energy efficiency in water supply systems.” In Proc., 5th IWA Water Loss Reduction Specialist Conf., 85–89. Hessen, Germany: Carlamani Conferences and Events.
Feliu-Batlle, V., R. Rivas-Perez, and F. J. Castillo-García. 2013. “Simple fractional order controller combined with a smith predictor for temperature control in a steel slab reheating furnace.” Int. J. Control Autom. Syst. 11 (3): 533–544. https://doi.org/10.1007/s12555-012-0355-z.
Fontana, N., M. Giugni, L. Glielmo, G. Marini, and F. Verrilli. 2018a. “Real-time control of a PRV in water distribution networks for pressure regulation: Theoretical framework and laboratory experiments.” J. Water Resour. Plann. Manage. 144 (1): 04017075. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000855.
Fontana, N., M. Giugni, L. Glielmo, G. Marini, and R. Zollo. 2018b. “Real-time control of pressure for leakage reduction in water distribution network: Field experiments.” J. Water Resour. Plann. Manage. 144 (3): 04017096. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000887.
Galuppini, G., E. Creaco, and L. Magni. 2020a. “A gain scheduling approach to improve pressure control in water distribution networks.” Control Eng. Pract. 103 (Oct): 104612. https://doi.org/10.1016/j.conengprac.2020.104612.
Galuppini, G., E. Creaco, C. Toffanin, and L. Magni. 2019. “Service pressure regulation in water distribution networks.” Control Eng. Pract. 86 (May): 70–84. https://doi.org/10.1016/j.conengprac.2019.03.007.
Galuppini, G., L. Magni, and E. Creaco. 2020b. “Stability and robustness of real-time pressure control in water distribution systems.” J. Hydraul. Eng. 146 (4): 04020023. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001722.
Georges, G. 1994. “Decentralized adaptive control for a water distribution system.” In Vol. 2 of Proc., 3rd IEEE Int. Conf. on Control and Applications, 1411–1416. New York: IEEE.
Ioannou, P., and J. Sun. 2012. “Robust adaptive control.” Accessed June 14, 2020. https://books.google.pt/books?id=pXWFY_vbg1MC.
Kang, D. 2014. “Real-time optimal control of water distribution systems.” Procedia Eng. 70 (Jan): 917–923. https://doi.org/10.1016/j.proeng.2014.02.102.
Mays, L. W. 1991. Water distribution systems handbook. New York: McGraw-Hill.
Mourad, E., A. Lachhab, M. Limouri, B. Dahhou, and A. Essaid. 2001. “Adaptive control of a water supply system.” Control Eng. Pract. 9 (3): 343–349. https://doi.org/10.1016/S0967-0661(00)00115-5.
Noorian, F., and P. H. W. Leong. 2017. “On time series forecasting error measures for finite horizon control.” IEEE Trans. Control Syst. Technol. 25 (2): 736–743. https://doi.org/10.1109/TCST.2016.2571661.
Ormsbee, L., S. Lingireddy, and D. Chase. 2009. “Optimal pump scheduling for water distribution systems.” In Proc., 4th Multidisciplinary Int. Conf. on Scheduling: Theory and Applications (MISTA 2009), 341–356. Nottingham, UK: Univ. of Nottingham. http://www.schedulingconference.org/proceedings/2009/mista2009TOC.pdf.
Rao, Z., and E. Salomons. 2007. “Development of a real-time, near-optimal control process for water-distribution networks.” J. Hydroinf. 9 (1): 25–37. https://doi.org/10.2166/hydro.2006.015.
Rivas Pérez, R., C. Prada Moraga, J. Perán González, and P. Kovalenko. 2002. “Robust adaptive predictive control of water distribution in irrigation canals.” IFAC Proc. Vol. 35 (1): 97–102. https://doi.org/10.3182/20020721-6-ES-1901.01325.
Rossman, L., H. Woo, M. Tryby, F. Shang, R. Janke, and T. Haxton. 2000. EPANET 2.0 users manual. Washington, DC: USEPA.
Sardinha-Lourenço, A., A. Andrade-Campos, A. Antunes, and M. Oliveira. 2018. “Increased performance in the short-term water demand forecasting through the use of a parallel adaptive weighting strategy.” J. Hydrol. 558 (Mar): 392–404. https://doi.org/10.1016/j.jhydrol.2018.01.047.
Silva, M., C. S. D. Araújo, S. D. T. M. Bezerra, S. Arnaud, C. D. R. Souto, and H. P. Gomes. 2015. “Sistema de controle adaptativo aplicado a um sistema de distribuição de água com ênfase na eficiência energética.” [In Portuguese.] Rev. Eng. Sanit. Ambient. 20 (3): 405–413. https://doi.org/10.1590/S1413-41522015020000107226.
SWAN (Smart Water Network Forum). 2019. “About SWAN.” Accessed May 19, 2019. https://www.swan-forum.com/about/.
University of Exeter. 2021. “Operation benchmarks, centre for water systems resources.” MUD History. Accessed January 1, 2021. https://emps.exeter.ac.uk/engineering/research/cws/resources/benchmarks/operation.
Vrachimis, S., D. Eliades, and M. Polycarpou. 2014. “Enhanced adaptive control of water quality in water distribution networks by incorporating abrupt hydraulic changes.” Procedia Eng. 89 (Jan): 239–246. https://doi.org/10.1016/j.proeng.2014.11.183.
Walski, T. M., et al. 1987. “Battle of the network models: Epilogue.” J. Water Resour. Plann. Manage. 113 (2): 191–203. https://doi.org/10.1061/(ASCE)0733-9496(1987)113:2(191).
Wang, S., and J. Burnett. 2001. “Online adaptive control for optimizing variable-speed pumps of indirect water-cooled chilling systems.” Appl. Therm. Eng. 21 (11): 1083–1103. https://doi.org/10.1016/S1359-4311(00)00109-5.
Wang, Z., M. M. Polycarpou, J. G. Uber, and F. Shang. 2005. “Adaptive control of water quality in water distribution networks.” IEEE Trans. Control Syst. Technol. 14 (1): 149–156. https://doi.org/10.1109/TCST.2005.859633.
Wasiuta, M. 2009. “Review of Worldometers; o.s.Earth; GENI.” J. Soc. Archit. Historians 68 (4): 590–593. https://doi.org/https://doi.org/10.1525/jsah.2009.68.4.590.
WHO (World Health Organization). 2014. “Water safety in distribution systems.” Accessed November 12, 2020. www.who.int.
Wolf, J. L. 1987. “Institutions: Alliance to save energy.” Environ.: Sci. Policy Sustainable Dev. 29 (3): 3–4. https://doi.org/10.1080/00139157.1987.9928866.
Xu, C., and I. C. Goulter. 1999. “Reliability-based optimal design of water distribution networks.” J. Water Resour. Plann. Manage. 125 (6): 352–362. https://doi.org/10.1061/(ASCE)0733-9496(1999)125:6(352).
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Received: Apr 12, 2021
Accepted: Sep 10, 2021
Published online: Oct 22, 2021
Published in print: Jan 1, 2022
Discussion open until: Mar 22, 2022
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