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.
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Journal of Water Resources Planning and Management
Volume 148 • Issue 1 • January 2022
Copyright
© 2021 American Society of Civil Engineers.
History
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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Cited by
- Ana Luís Sousa, António Andrade-Campos, Analytical Sensitivity Analysis and Optimization for Cost-Efficient Operation of Water Supply Systems, Journal of Water Resources Planning and Management, 10.1061/JWRMD5.WRENG-6295, 150, 4, (2024).
- Christian X. Briceño-León, Pedro L. Iglesias-Rey, F. Javier Martínez-Solano, Enrico Creaco, Integrating Demand Variability and Technical, Environmental, and Economic Criteria in Design of Pumping Stations Serving Closed Distribution Networks, Journal of Water Resources Planning and Management, 10.1061/JWRMD5.WRENG-5813, 149, 3, (2023).