IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i2p463-d1036684.html
   My bibliography  Save this article

Optimal Sizing of a Photovoltaic Pumping System Integrated with Water Storage Tank Considering Cost/Reliability Assessment Using Enhanced Artificial Rabbits Optimization: A Case Study

Author

Listed:
  • Abdolhamid Mazloumi

    (Department of Electrical Engineering, Gorgan Branch, Islamic Azad University, Gorgan 4917954834, Iran)

  • Alireza Poolad

    (Department of Electrical Engineering, Bushehr Branch, Islamic Azad University, Bushehr 7515895496, Iran)

  • Mohammad Sadegh Mokhtari

    (Department of Computer Science, University of Antwerp, 2000 Antwerp, Belgium)

  • Morteza Babaee Altman

    (Department of Energy Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 1591634311, Iran)

  • Almoataz Y. Abdelaziz

    (Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt)

  • Mahmoud Elsisi

    (Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan
    Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo 11629, Egypt)

Abstract

In this paper, optimal sizing of a photovoltaic (PV) pumping system with a water storage tank (WST) is developed to meet the water demand to minimize the life cycle cost (LCC) and satisfy the probability of interrupted water (p IW ) constraint considering real region data. The component sizing, including the PV resources and the WST, is determined optimally based on LCC and p IW using a new meta-heuristic method named enhanced artificial rabbits optimization (EARO) via a nonlinear inertia weight reduction strategy to overcome the premature convergence of its conventional algorithm. The WST is sized optimally regarding the lack of irradiation and inaccessibility of the pumping system so that it is able to improve the water supply reliability. The LCC for water extraction heights of 5 and 10 m is obtained at 0.2955 M$ and 0.2993 M$, respectively, and the p IW in these two scenarios is calculated as zero, which means the complete and reliable supply of the water demand of the customers using the proposed methodology based on the EARO. Also, the results demonstrated the superior performance of EARO in comparison with artificial rabbits optimization (ARO) and particle swarm optimization (PSO); these methods have supplied customers’ water demands with higher costs and lower reliability than the proposed EARO method. Also, during the sensitivity analysis, the results showed that changes in the irradiance and height of the water extraction have a considerable effect on the cost and ability to meet customer demand.

Suggested Citation

  • Abdolhamid Mazloumi & Alireza Poolad & Mohammad Sadegh Mokhtari & Morteza Babaee Altman & Almoataz Y. Abdelaziz & Mahmoud Elsisi, 2023. "Optimal Sizing of a Photovoltaic Pumping System Integrated with Water Storage Tank Considering Cost/Reliability Assessment Using Enhanced Artificial Rabbits Optimization: A Case Study," Mathematics, MDPI, vol. 11(2), pages 1-21, January.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:2:p:463-:d:1036684
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/2/463/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/2/463/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ma, Tao & Yang, Hongxing & Lu, Lin & Peng, Jinqing, 2014. "Technical feasibility study on a standalone hybrid solar-wind system with pumped hydro storage for a remote island in Hong Kong," Renewable Energy, Elsevier, vol. 69(C), pages 7-15.
    2. Lorenzo, C. & Almeida, R.H. & Martínez-Núñez, M. & Narvarte, L. & Carrasco, L.M., 2018. "Economic assessment of large power photovoltaic irrigation systems in the ECOWAS region," Energy, Elsevier, vol. 155(C), pages 992-1003.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alam, Marzia & Imran, Muhammad & Sultan, Muhammad & Manzoor, Umar & Khan, Zafar A. & Rezk, Ahmed & Alaswad, Abed, 2024. "System-level optimisation of hybrid energy powered irrigation system," Renewable Energy, Elsevier, vol. 234(C).

    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. Skroufouta, S. & Baltas, E., 2021. "Investigation of hybrid renewable energy system (HRES) for covering energy and water needs on the Island of Karpathos in Aegean Sea," Renewable Energy, Elsevier, vol. 173(C), pages 141-150.
    2. Li, Zhenpeng & Ma, Tao & Zhao, Jiaxin & Song, Aotian & Cheng, Yuanda, 2019. "Experimental study and performance analysis on solar photovoltaic panel integrated with phase change material," Energy, Elsevier, vol. 178(C), pages 471-486.
    3. Rômulo de Oliveira Azevêdo & Paulo Rotela Junior & Luiz Célio Souza Rocha & Gianfranco Chicco & Giancarlo Aquila & Rogério Santana Peruchi, 2020. "Identification and Analysis of Impact Factors on the Economic Feasibility of Photovoltaic Energy Investments," Sustainability, MDPI, vol. 12(17), pages 1-40, September.
    4. Meschede, Henning & Holzapfel, Peter & Kadelbach, Florian & Hesselbach, Jens, 2016. "Classification of global island regarding the opportunity of using RES," Applied Energy, Elsevier, vol. 175(C), pages 251-258.
    5. Zhang, Yijie & Ma, Tao & Elia Campana, Pietro & Yamaguchi, Yohei & Dai, Yanjun, 2020. "A techno-economic sizing method for grid-connected household photovoltaic battery systems," Applied Energy, Elsevier, vol. 269(C).
    6. Wang, Gang & Zhang, Zhen & Lin, Jianqing, 2024. "Multi-energy complementary power systems based on solar energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    7. Solomon, A.A. & Kammen, Daniel M. & Callaway, D., 2016. "Investigating the impact of wind–solar complementarities on energy storage requirement and the corresponding supply reliability criteria," Applied Energy, Elsevier, vol. 168(C), pages 130-145.
    8. Elkholy, M.H. & Metwally, Hamid & Farahat, M.A. & Senjyu, Tomonobu & Elsayed Lotfy, Mohammed, 2022. "Smart centralized energy management system for autonomous microgrid using FPGA," Applied Energy, Elsevier, vol. 317(C).
    9. Bertsiou, M. & Feloni, E. & Karpouzos, D. & Baltas, E., 2018. "Water management and electricity output of a Hybrid Renewable Energy System (HRES) in Fournoi Island in Aegean Sea," Renewable Energy, Elsevier, vol. 118(C), pages 790-798.
    10. William López-Castrillón & Héctor H. Sepúlveda & Cristian Mattar, 2021. "Off-Grid Hybrid Electrical Generation Systems in Remote Communities: Trends and Characteristics in Sustainability Solutions," Sustainability, MDPI, vol. 13(11), pages 1-29, May.
    11. Shyam, B. & Kanakasabapathy, P., 2022. "Feasibility of floating solar PV integrated pumped storage system for a grid-connected microgrid under static time of day tariff environment: A case study from India," Renewable Energy, Elsevier, vol. 192(C), pages 200-215.
    12. Jann Michael Weinand, 2020. "Reviewing Municipal Energy System Planning in a Bibliometric Analysis: Evolution of the Research Field between 1991 and 2019," Energies, MDPI, vol. 13(6), pages 1-18, March.
    13. Ma, Tao & Yang, Hongxing & Lu, Lin & Peng, Jinqing, 2015. "Optimal design of an autonomous solar–wind-pumped storage power supply system," Applied Energy, Elsevier, vol. 160(C), pages 728-736.
    14. Petrakopoulou, Fontina & Robinson, Alexander & Loizidou, Maria, 2016. "Simulation and evaluation of a hybrid concentrating-solar and wind power plant for energy autonomy on islands," Renewable Energy, Elsevier, vol. 96(PA), pages 863-871.
    15. Ming, Bo & Liu, Pan & Guo, Shenglian & Zhang, Xiaoqi & Feng, Maoyuan & Wang, Xianxun, 2017. "Optimizing utility-scale photovoltaic power generation for integration into a hydropower reservoir by incorporating long- and short-term operational decisions," Applied Energy, Elsevier, vol. 204(C), pages 432-445.
    16. He, Yi & Guo, Su & Zhou, Jianxu & Ye, Jilei & Huang, Jing & Zheng, Kun & Du, Xinru, 2022. "Multi-objective planning-operation co-optimization of renewable energy system with hybrid energy storages," Renewable Energy, Elsevier, vol. 184(C), pages 776-790.
    17. Wankouo Ngouleu, Clint Ameri & Koholé, Yemeli Wenceslas & Fohagui, Fodoup Cyrille Vincelas & Tchuen, Ghislain, 2025. "Optimum design and scheduling strategy of an off-grid hybrid photovoltaic-wind-diesel system with an electrochemical, mechanical, chemical and thermal energy storage systems: A comparative scrutiny," Applied Energy, Elsevier, vol. 377(PC).
    18. Yumin Xu & Yansheng Lang & Boying Wen & Xiaonan Yang, 2019. "An Innovative Planning Method for the Optimal Capacity Allocation of a Hybrid Wind–PV–Pumped Storage Power System," Energies, MDPI, vol. 12(14), pages 1-14, July.
    19. Majed A. Alotaibi & Ali M. Eltamaly, 2021. "A Smart Strategy for Sizing of Hybrid Renewable Energy System to Supply Remote Loads in Saudi Arabia," Energies, MDPI, vol. 14(21), pages 1-24, October.
    20. Ma, Tao & Yang, Hongxing & Lu, Lin, 2014. "Solar photovoltaic system modeling and performance prediction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 304-315.

    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:11:y:2023:i:2:p:463-:d:1036684. 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.