IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i21p4019-d957123.html
   My bibliography  Save this article

Modelling, Simulation and Controlling of a Multi-Pump System with Water Storage Powered by a Fluctuating and Intermittent Power Source

Author

Listed:
  • Dorin Bordeașu

    (Department of Automation and Applied Informatics, Politehnica University of Timisoara, Vasile Parvan, No. 2, 300223 Timisoara, Romania)

  • Octavian Proștean

    (Department of Automation and Applied Informatics, Politehnica University of Timisoara, Vasile Parvan, No. 2, 300223 Timisoara, Romania)

  • Ioan Filip

    (Department of Automation and Applied Informatics, Politehnica University of Timisoara, Vasile Parvan, No. 2, 300223 Timisoara, Romania)

  • Florin Drăgan

    (Department of Automation and Applied Informatics, Politehnica University of Timisoara, Vasile Parvan, No. 2, 300223 Timisoara, Romania)

  • Cristian Vașar

    (Department of Automation and Applied Informatics, Politehnica University of Timisoara, Vasile Parvan, No. 2, 300223 Timisoara, Romania)

Abstract

In recent years, many pumping systems have begun to be powered by renewable energy generators, including mostly photovoltaic generators and, less frequently, electrical wind generators. Because of the technology’s complexity and novelty (it has not yet reached its maturation), most of those systems consist of single pumps powered by photovoltaic generators or electrical wind generators. For this reason, the current paper proposes a strategy for driving a multi-pump system with water storage powered by a fluctuating and intermittent power source, such as power grids, which are limited by price variation over different periods during the day, or photovoltaic generators and/or electrical wind generators. The current work begins by proposing a model of a multi-pump system with water storage, followed by the design of a control strategy for operating such a system powered by a fluctuating and intermittent power source in an energy-efficient manner, without sacrificing the reliability, robustness and lifetime of the plant. Finally, an analysis of two concrete situations encountered in practice is made: in one, the considered multi-pump system is powered only by a power grid limited by price variation over three periods; in the other, it is powered by a photovoltaic generator.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:21:p:4019-:d:957123
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/21/4019/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/21/4019/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Alexandru Predescu & Ciprian-Octavian Truică & Elena-Simona Apostol & Mariana Mocanu & Ciprian Lupu, 2020. "An Advanced Learning-Based Multiple Model Control Supervisor for Pumping Stations in a Smart Water Distribution System," Mathematics, MDPI, vol. 8(6), pages 1-29, June.
    3. Mahmoud Elsisi & Minh-Quang Tran & Hany M. Hasanien & Rania A. Turky & Fahad Albalawi & Sherif S. M. Ghoneim, 2021. "Robust Model Predictive Control Paradigm for Automatic Voltage Regulators against Uncertainty Based on Optimization Algorithms," Mathematics, MDPI, vol. 9(22), pages 1-19, November.
    4. 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.
    5. Man-Wen Tian & Shu-Rong Yan & Jinping Liu & Khalid A. Alattas & Ardashir Mohammadzadeh & Mai The Vu, 2022. "A New Type-3 Fuzzy Logic Approach for Chaotic Systems: Robust Learning Algorithm," Mathematics, MDPI, vol. 10(15), pages 1-20, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. 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.
    3. 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.
    4. Basma Salah & Hany M. Hasanien & Fadia M. A. Ghali & Yasser M. Alsayed & Shady H. E. Abdel Aleem & Adel El-Shahat, 2022. "African Vulture Optimization-Based Optimal Control Strategy for Voltage Control of Islanded DC Microgrids," Sustainability, MDPI, vol. 14(19), pages 1-26, September.
    5. 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).
    6. 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.
    7. Alexey V. Yakovlev & Vladimir V. Alekseev & Maria V. Volchikhina & Sergey V. Petrenko, 2022. "A Combinatorial Model for Determining Information Loss in Organizational and Technical Systems," Mathematics, MDPI, vol. 10(19), pages 1-12, September.
    8. 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.
    9. 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.
    10. Yuquan Zhang & Yanhe Xu & Yuan Zheng & E. Fernandez-Rodriguez & Aoran Sun & Chunxia Yang & Jue Wang, 2019. "Multiobjective Optimization Design and Experimental Investigation on the Axial Flow Pump with Orthogonal Test Approach," Complexity, Hindawi, vol. 2019, pages 1-14, December.
    11. 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.
    12. 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).
    13. 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.
    14. 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.
    15. Dong, Zhe & Li, Bowen & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2022. "Power-pressure coordinated control of modular high temperature gas-cooled reactors," Energy, Elsevier, vol. 252(C).
    16. Thiago Tricarico & João Adolpho Costa & Danilo Herrera & Eduardo Galván-Díez & Juan M. Carrasco & Mauricio Aredes, 2022. "Total Frequency Spread: A New Metric to Assess the Switching Frequency Spread of FCS-MPC," Energies, MDPI, vol. 15(14), pages 1-20, July.
    17. 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.
    18. Jianwei Yang & Zhen Liu & Xin Zhang & Gang Hu, 2022. "Elite Chaotic Manta Ray Algorithm Integrated with Chaotic Initialization and Opposition-Based Learning," Mathematics, MDPI, vol. 10(16), pages 1-34, August.
    19. 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.
    20. Jimmy H. Gutiérrez-Bahamondes & Daniel Mora-Melia & Bastián Valdivia-Muñoz & Fabián Silva-Aravena & Pedro L. Iglesias-Rey, 2023. "Infeasibility Maps: Application to the Optimization of the Design of Pumping Stations in Water Distribution Networks," Mathematics, MDPI, vol. 11(7), pages 1-16, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:21:p:4019-:d:957123. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.