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Optimal Operational Scheduling of Pumps to Improve the Performance of Water Distribution Networks

Author

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  • Mehdi Dini

    (Azarbaijan Shahid Madani University)

  • Mozhdeh Hemmati

    (Azarbaijan Shahid Madani University)

  • Saeed Hashemi

    (Hydraulic Modelling Engineer)

Abstract

Widely used software packages might still be deficient when it comes to optimal pump scheduling as they allow concurrent Variable Speed Pumps (VSPs) at low speeds and low efficiency. In this study, a new method is developed to optimize the Number of Active Pumps (NAPs) and their variable setting, not only to address the mentioned issue, but also to improve pressure reliability, leakage, and electrical power consumption in Water Distribution Networks (WDNs). For this purpose, an Active Pumps Index (API) is proposed to find the optimal NAPs at each time step and a single-objective Network Pressure Reliability Index (NPRI) is used to optimize VSP setting. Particle Swarm Optimization (PSO) algorithm is developed in MATLAB and linked with EPANET as the hydraulic simulator. The proposed method is applied to a sample and a real WDN. The results in both cases show a significant reduction in NAPs, as well as energy costs, while tangibly improving leakage and pressure reliability, especially in big pump stations with several pumps.

Suggested Citation

  • Mehdi Dini & Mozhdeh Hemmati & Saeed Hashemi, 2022. "Optimal Operational Scheduling of Pumps to Improve the Performance of Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 417-432, January.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:1:d:10.1007_s11269-021-03034-8
    DOI: 10.1007/s11269-021-03034-8
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    References listed on IDEAS

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    1. Sara Nazif & Mohammad Karamouz & Massoud Tabesh & Ali Moridi, 2010. "Pressure Management Model for Urban Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(3), pages 437-458, February.
    2. Tahani, Mojtaba & Kandi, Ali & Moghimi, Mahdi & Houreh, Shahram Derakhshan, 2020. "Rotational speed variation assessment of centrifugal pump-as-turbine as an energy utilization device under water distribution network condition," Energy, Elsevier, vol. 213(C).
    3. Mauro Venturini & Stefano Alvisi & Silvio Simani & Lucrezia Manservigi, 2017. "Energy Production by Means of Pumps As Turbines in Water Distribution Networks," Energies, MDPI, vol. 10(10), pages 1-13, October.
    4. Yasaman Makaremi & Ali Haghighi & Hamid Reza Ghafouri, 2017. "Optimization of Pump Scheduling Program in Water Supply Systems Using a Self-Adaptive NSGA-II; a Review of Theory to Real Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(4), pages 1283-1304, March.
    5. Francesco Paola & Maurizio Giugni & Davide Portolano, 2017. "Pressure Management Through Optimal Location and Setting of Valves in Water Distribution Networks Using a Music-Inspired Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1517-1533, March.
    6. Luigi Cimorelli & Carmine Covelli & Bruno Molino & Domenico Pianese, 2020. "Optimal Regulation of Pumping Station in Water Distribution Networks Using Constant and Variable Speed Pumps: A Technical and Economical Comparison," Energies, MDPI, vol. 13(10), pages 1-15, May.
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    Cited by:

    1. Ngandu Balekelayi & Haile Woldesellasse & Solomon Tesfamariam, 2022. "Comparison of the Performance of a Surrogate Based Gaussian Process, NSGA2 and PSO Multi-objective Optimization of the Operation and Fuzzy Structural Reliability of Water Distribution System: Case Stu," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 6169-6185, December.
    2. Davi Edson Sales Souza & André Luiz Amarante Mesquita & Claudio José Cavalcante Blanco, 2023. "Pressure Regulation in a Water Distribution Network Using Pumps as Turbines at Variable Speed for Energy Recovery," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1183-1206, February.
    3. Gal Perelman & Barak Fishbain, 2022. "Critical Elements Analysis of Water Supply Systems to Improve Energy Efficiency in Failure Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3797-3811, August.
    4. Pham Duc Dai, 2023. "A Real Time Optimization Based Sequential Convex Program for Pressure Management in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(12), pages 4751-4768, September.
    5. Jian Wang & Bangwu Deng & Shuai Jiang & Zhuozhi Deng & Wei Wang & Guowei Chen & Li Liu, 2024. "Optimizing Control of Secondary Water Supply Tanks for Demand Peak Staggering," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(11), pages 4123-4136, September.
    6. Andrés Ortega-Ballesteros & David Muñoz-Rodríguez & Alberto-Jesus Perea-Moreno, 2022. "Advances in Leakage Control and Energy Consumption Optimization in Drinking Water Distribution Networks," Energies, MDPI, vol. 15(15), pages 1-5, July.

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