IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v10y2025i3id63269.html

Fuzzy Logic Controlled PV Microgrid for a Sports Complex in Saudi Arabia

Author

Listed:
  • Muath Ahmed Batawil

    (King AbdulAziz University, Saudi Arabia)

  • Sreerama Kumar Ramdas

    (King AbdulAziz University, Saudi Arabia)

Abstract

This paper proposes a fuzzy logic based central control facility for the isolated microgrid designed for the sports complex in a university set up in Saudi Arabia. The design aspects of the solar photo voltaic energy conversion system (PVES) for the sports complex facility are also included in the paper. Diesel generator is utilized as a backup system. The research is conducted to evaluate the effect of the proposed microgrid over the existing grid power supply in the minimization of carbon emissions and its alignment with the nation’s objectives in the implementation of renewable energy-based systems in Saudi Arabia. The fuzzy logic-based system set up takes into consideration the intermittent characteristics of solar PVES output and accordingly efficiently regulate power generation, consumption and the energy storage in the sports complex. The simulation results indicate the importance and significance of the implementation of microgrid set up for major facilities in the educational institutions in Saudi Arabia.

Suggested Citation

  • Muath Ahmed Batawil & Sreerama Kumar Ramdas, 2025. "Fuzzy Logic Controlled PV Microgrid for a Sports Complex in Saudi Arabia," European Journal of Engineering and Technology Research, European Open Science, vol. 10(3), pages 43-53, May.
  • Handle: RePEc:epw:ejeng0:v:10:y:2025:i:3:id:63269
    DOI: 10.24018/ejeng.2025.10.3.3269
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/63269
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejeng/article/download/63269/13255
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejeng.2025.10.3.3269?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:epw:ejeng0:v:10:y:2025:i:3:id:63269. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    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.