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Genetic optimization and experimental verification of complex parallel pumping station with centrifugal pumps

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  • Olszewski, Pawel

Abstract

While single pump design allows operation at high performance levels, multi-pumping systems are controlled to cover actual flow rate requirements, with less emphasis on power consumption. Widely accessible sensors and programmable controllers can improve this approach.

Suggested Citation

  • Olszewski, Pawel, 2016. "Genetic optimization and experimental verification of complex parallel pumping station with centrifugal pumps," Applied Energy, Elsevier, vol. 178(C), pages 527-539.
    • Handle: RePEc:eee:appene:v:178:y:2016:i:c:p:527-539
    DOI: 10.1016/j.apenergy.2016.06.084
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    Citations

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    Cited by:

    1. Liu, Mingzhe & Ooka, Ryozo & Choi, Wonjun & Ikeda, Shintaro, 2019. "Experimental and numerical investigation of energy saving potential of centralized and decentralized pumping systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    2. Wang, Zhiyuan & Qian, Zhongdong & Lu, Jie & Wu, Pengfei, 2019. "Effects of flow rate and rotational speed on pressure fluctuations in a double-suction centrifugal pump," Energy, Elsevier, vol. 170(C), pages 212-227.
    3. Dorin Bordeașu & Octavian Proștean & Ioan Filip & Florin Drăgan & Cristian Vașar, 2022. "Modelling, Simulation and Controlling of a Multi-Pump System with Water Storage Powered by a Fluctuating and Intermittent Power Source," Mathematics, MDPI, vol. 10(21), pages 1-24, October.
    4. Manickavel Baranidharan & Rassiah Raja Singh, 2022. "AI Energy Optimal Strategy on Variable Speed Drives for Multi-Parallel Aqua Pumping System," Energies, MDPI, vol. 15(12), pages 1-29, June.
    5. Xiaoli Feng & Baoyun Qiu & Yongxing Wang, 2020. "Optimizing Parallel Pumping Station Operations in an Open-Channel Water Transfer System Using an Efficient Hybrid Algorithm," Energies, MDPI, vol. 13(18), pages 1-19, September.
    6. Olszewski, Pawel & Arafeh, Jamal, 2018. "Parametric analysis of pumping station with parallel-configured centrifugal pumps towards self-learning applications," Applied Energy, Elsevier, vol. 231(C), pages 1146-1158.
    7. Leandro Alves Evangelista & Gustavo Meirelles & Bruno Brentan, 2023. "Computational Model of Water Distribution Network Life Cycle Deterioration," Sustainability, MDPI, vol. 15(19), pages 1-14, October.
    8. Kirchem, Dana & Lynch, Muireann Á. & Bertsch, Valentin & Casey, Eoin, 2020. "Modelling demand response with process models and energy systems models: Potential applications for wastewater treatment within the energy-water nexus," Applied Energy, Elsevier, vol. 260(C).
    9. Kirchem, Dana & Lynch, Muireann Á & Casey, Eoin & Bertsch, Valentin, 2019. "Demand response within the energy-for-water-nexus: A review," Papers WP637, Economic and Social Research Institute (ESRI).
    10. Arun Shankar, Vishnu Kalaiselvan & Umashankar, Subramaniam & Paramasivam, Shanmugam & Hanigovszki, Norbert, 2016. "A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system," Applied Energy, Elsevier, vol. 181(C), pages 495-513.
    11. Wang, Chuan & Shi, Weidong & Wang, Xikun & Jiang, Xiaoping & Yang, Yang & Li, Wei & Zhou, Ling, 2017. "Optimal design of multistage centrifugal pump based on the combined energy loss model and computational fluid dynamics," Applied Energy, Elsevier, vol. 187(C), pages 10-26.
    12. Javier R. Ledesma & Rita H. Almeida & Luis Narvarte, 2022. "Modeling and Simulation of Multipumping Photovoltaic Irrigation Systems," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
    13. Xuetao Wang & Qianchuan Zhao & Yifan Wang, 2020. "A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems," Energies, MDPI, vol. 13(15), pages 1-24, July.
    14. Safarbek Oshurbekov & Vadim Kazakbaev & Vladimir Prakht & Vladimir Dmitrievskii, 2021. "Improving Reliability and Energy Efficiency of Three Parallel Pumps by Selecting Trade-Off Operating Points," Mathematics, MDPI, vol. 9(11), pages 1-19, June.

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