IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i16p4280-d1722358.html
   My bibliography  Save this article

A Comprehensive Optimization Framework for Techno-Economic Demand Side Management in Integrated Energy Systems

Author

Listed:
  • Moataz Ayman Shaker

    (Engineering Physics and Mathematics Department, Ain Shams University, Cairo 11517, Egypt)

  • Ibrahim Mohamed Diaaeldin

    (Engineering Physics and Mathematics Department, Ain Shams University, Cairo 11517, Egypt)

  • Mahmoud A. Attia

    (Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt)

  • Amr Khaled Khamees

    (Engineering Physics and Mathematics Department, Ain Shams University, Cairo 11517, Egypt)

  • Othman A. M. Omar

    (Engineering Physics and Mathematics Department, Ain Shams University, Cairo 11517, Egypt)

  • Mohammed Alruwaili

    (Department of Electrical Engineering, College of Engineering, Northern Border University, Arar 91431, Saudi Arabia)

  • Ali Elrashidi

    (Electrical Engineering Department, University of Business and Technology, Jeddah 23435, Saudi Arabia)

  • Nabil M. Hamed

    (Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt)

Abstract

This paper proposes a comprehensive mathematical optimization framework for techno-economic demand side management (DSM) in hybrid energy systems (HESs), with a focus on standalone configurations. The framework incorporates load growth projections and the probabilistic uncertainties of renewable energy sources to enhance planning robustness. To identify high-quality near-optimal solutions, several advanced metaheuristic algorithms were employed, including the Exponential Distribution Optimizer (EDO), Teaching-Learning-Based Optimization (TLBO), Circle Search Algorithm (CSA), and Wild Horse Optimizer (WHO). The results highlight substantial economic and environmental improvements, with battery integration yielding a 69.7% reduction in total system cost and an 84.3% decrease in emissions. Additionally, this study evaluated the influence of future load growth on fuel expenditure, offering realistic insights into the techno-economic viability of HES deployment.

Suggested Citation

  • Moataz Ayman Shaker & Ibrahim Mohamed Diaaeldin & Mahmoud A. Attia & Amr Khaled Khamees & Othman A. M. Omar & Mohammed Alruwaili & Ali Elrashidi & Nabil M. Hamed, 2025. "A Comprehensive Optimization Framework for Techno-Economic Demand Side Management in Integrated Energy Systems," Energies, MDPI, vol. 18(16), pages 1-31, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:16:p:4280-:d:1722358
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/16/4280/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/16/4280/
    Download Restriction: no
    ---><---

    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:gam:jeners:v:18:y:2025:i:16:p:4280-:d:1722358. 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: 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.