IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1563-d737217.html
   My bibliography  Save this article

A Comprehensive Evaluation of Electricity Planning Models in Egypt: Optimization versus Agent-Based Approaches

Author

Listed:
  • Mostafa Shaaban

    (Research Group Land Use Decisions in the Spatial and System Context (DSC), Leibniz Centre for Agricultural Landscape Research, 15374 Müncheberg, Germany
    Research Group Climate Change and Security (CLISEC), Institute of Geography, Center for Earth System Research and Sustainability (CEN), University of Hamburg, Grindelberg 5/7, 20144 Hamburg, Germany)

  • Jürgen Scheffran

    (Research Group Climate Change and Security (CLISEC), Institute of Geography, Center for Earth System Research and Sustainability (CEN), University of Hamburg, Grindelberg 5/7, 20144 Hamburg, Germany)

  • Mohamed Salah Elsobki

    (Faculty of Engineering, Cairo University, Gamaet El Qahera Street, Giza 12613, Egypt)

  • Hossein Azadi

    (Research Group Climate Change and Security (CLISEC), Institute of Geography, Center for Earth System Research and Sustainability (CEN), University of Hamburg, Grindelberg 5/7, 20144 Hamburg, Germany)

Abstract

A rational assessment of electricity generation technologies constitutes a cornerstone to attain a sustainable and secure electricity plan. The Egyptian government is struggling with the accelerated growth of the national electricity demand through setting up and examining different future electricity scenarios and through the implementation of energy models to secure the provision of affordable and clean energy as part of the United Nations 2030 agenda of achieving the 17 sustainable development goals (SDGs). However, conventional techno-economic models still represent for many countries an attractive tool for energy planning. We investigate in this article the added values of applying a dynamic multi-criteria spatial-agent model that covers several sustainability dimensions versus an optimization techno-economic model for future energy planning in Egypt. Moreover, we report on the historical development of electricity supply since 2009 in Egypt. The study reveals predominant advantages of applying the agent-based modeling approach, which simulates the evolution of an energy transition landscape through the interactive and adaptive dynamic decision behavior of different societal groups (agents) in response to changes in the whole system. The study advocates the implementation of a dynamic agent-based bottom-up approach for the planning of a future sustainable electricity mix in Egypt.

Suggested Citation

  • Mostafa Shaaban & Jürgen Scheffran & Mohamed Salah Elsobki & Hossein Azadi, 2022. "A Comprehensive Evaluation of Electricity Planning Models in Egypt: Optimization versus Agent-Based Approaches," Sustainability, MDPI, vol. 14(3), pages 1-23, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1563-:d:737217
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1563/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/3/1563/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Ahmed Abouaiana, 2022. "Rural Energy Communities as Pillar towards Low Carbon Future in Egypt: Beyond COP27," Land, MDPI, vol. 11(12), pages 1-18, December.
    2. Hamdi, Mohamed & El Salmawy, Hafez A. & Ragab, Reda, 2024. "Incorporating operational constraints into long-term energy planning: The case of the Egyptian power system under high share of renewables," Energy, Elsevier, vol. 300(C).

    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:jsusta:v:14:y:2022:i:3:p:1563-:d:737217. 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.