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Methodology for Pumping Station Design Based on Analytic Hierarchy Process (AHP)
 
 
Article

Pumping Station Design in Water Distribution Networks Considering the Optimal Flow Distribution between Sources and Capital and Operating Costs

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Doctorado en Sistemas de Ingeniería, Facultad de Ingeniería, Universidad de Talca, Camino Los Niches Km 1, Curicó 3340000, Chile
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Departamento de Ingeniería y Gestión de la Construcción, Facultad de Ingeniería, Universidad de Talca, Camino Los Niches Km 1, Curicó 3340000, Chile
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Departamento de Ingeniería Hidráulica y Medio Ambiente, Universitat Politècnica de València, Camino de Vera S/N, 46022 Valencia, Spain
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Departamento de Ciencias de la Computación, Facultad de Ingeniería, Universidad de Talca, Camino Los Niches Km 1, Curicó 3340000, Chile
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Author to whom correspondence should be addressed.
Academic Editor: Wencheng Guo
Water 2021, 13(21), 3098; https://doi.org/10.3390/w13213098
Received: 4 October 2021 / Revised: 26 October 2021 / Accepted: 1 November 2021 / Published: 3 November 2021
(This article belongs to the Special Issue Urban Hydraulic Engineering Simulation and Calculation)
The investment and operating costs of pumping stations in drinking water distribution networks are some of the highest public costs in urban sectors. Generally, these systems are designed based on extreme scenarios. However, in periods of normal operation, extra energy is produced, thereby generating excess costs. To avoid this problem, this work presents a new methodology for the design of pumping stations. The proposed technique is based on the use of a setpoint curve to optimize the operating and investment costs of a station simultaneously. According to this purpose, a novel mathematical optimization model is developed. The solution output by the model includes the selection of the pumps, the dimensions of pipelines, and the optimal flow distribution among all water sources for a given network. To demonstrate the advantages of using this technique, a case study network is presented. A pseudo-genetic algorithm (PGA) is implemented to resolve the optimization model. Finally, the obtained results show that it is possible to determine the full design and operating conditions required to achieve the lowest cost in a multiple pump station network. View Full-Text
Keywords: optimization; water networks; pump station; setpoint curve; pseudo-genetic algorithm optimization; water networks; pump station; setpoint curve; pseudo-genetic algorithm
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MDPI and ACS Style

Gutiérrez-Bahamondes, J.H.; Mora-Meliá, D.; Iglesias-Rey, P.L.; Martínez-Solano, F.J.; Salgueiro, Y. Pumping Station Design in Water Distribution Networks Considering the Optimal Flow Distribution between Sources and Capital and Operating Costs. Water 2021, 13, 3098. https://doi.org/10.3390/w13213098

AMA Style

Gutiérrez-Bahamondes JH, Mora-Meliá D, Iglesias-Rey PL, Martínez-Solano FJ, Salgueiro Y. Pumping Station Design in Water Distribution Networks Considering the Optimal Flow Distribution between Sources and Capital and Operating Costs. Water. 2021; 13(21):3098. https://doi.org/10.3390/w13213098

Chicago/Turabian Style

Gutiérrez-Bahamondes, Jimmy H., Daniel Mora-Meliá, Pedro L. Iglesias-Rey, F. Javier Martínez-Solano, and Yamisleydi Salgueiro. 2021. "Pumping Station Design in Water Distribution Networks Considering the Optimal Flow Distribution between Sources and Capital and Operating Costs" Water 13, no. 21: 3098. https://doi.org/10.3390/w13213098

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