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

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 generatin...

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Autores principales: Jimmy H. Gutiérrez-Bahamondes, Daniel Mora-Meliá, Pedro L. Iglesias-Rey, F. Javier Martínez-Solano, Yamisleydi Salgueiro
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/f2d0f7d8eb684e19a52885803526e056
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spelling oai:doaj.org-article:f2d0f7d8eb684e19a52885803526e0562021-11-11T19:57:11ZPumping Station Design in Water Distribution Networks Considering the Optimal Flow Distribution between Sources and Capital and Operating Costs10.3390/w132130982073-4441https://doaj.org/article/f2d0f7d8eb684e19a52885803526e0562021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/21/3098https://doaj.org/toc/2073-4441The 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.Jimmy H. Gutiérrez-BahamondesDaniel Mora-MeliáPedro L. Iglesias-ReyF. Javier Martínez-SolanoYamisleydi SalgueiroMDPI AGarticleoptimizationwater networkspump stationsetpoint curvepseudo-genetic algorithmHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3098, p 3098 (2021)
institution DOAJ
collection DOAJ
language EN
topic optimization
water networks
pump station
setpoint curve
pseudo-genetic algorithm
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
spellingShingle optimization
water networks
pump station
setpoint curve
pseudo-genetic algorithm
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
Jimmy H. Gutiérrez-Bahamondes
Daniel Mora-Meliá
Pedro L. Iglesias-Rey
F. Javier Martínez-Solano
Yamisleydi Salgueiro
Pumping Station Design in Water Distribution Networks Considering the Optimal Flow Distribution between Sources and Capital and Operating Costs
description 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.
format article
author Jimmy H. Gutiérrez-Bahamondes
Daniel Mora-Meliá
Pedro L. Iglesias-Rey
F. Javier Martínez-Solano
Yamisleydi Salgueiro
author_facet Jimmy H. Gutiérrez-Bahamondes
Daniel Mora-Meliá
Pedro L. Iglesias-Rey
F. Javier Martínez-Solano
Yamisleydi Salgueiro
author_sort Jimmy H. Gutiérrez-Bahamondes
title Pumping Station Design in Water Distribution Networks Considering the Optimal Flow Distribution between Sources and Capital and Operating Costs
title_short Pumping Station Design in Water Distribution Networks Considering the Optimal Flow Distribution between Sources and Capital and Operating Costs
title_full Pumping Station Design in Water Distribution Networks Considering the Optimal Flow Distribution between Sources and Capital and Operating Costs
title_fullStr Pumping Station Design in Water Distribution Networks Considering the Optimal Flow Distribution between Sources and Capital and Operating Costs
title_full_unstemmed Pumping Station Design in Water Distribution Networks Considering the Optimal Flow Distribution between Sources and Capital and Operating Costs
title_sort pumping station design in water distribution networks considering the optimal flow distribution between sources and capital and operating costs
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/f2d0f7d8eb684e19a52885803526e056
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AT pedroliglesiasrey pumpingstationdesigninwaterdistributionnetworksconsideringtheoptimalflowdistributionbetweensourcesandcapitalandoperatingcosts
AT fjaviermartinezsolano pumpingstationdesigninwaterdistributionnetworksconsideringtheoptimalflowdistributionbetweensourcesandcapitalandoperatingcosts
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