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1000 Titel
  • A Comprehensive Evaluation of Electricity Planning Models in Egypt: Optimization versus Agent-Based Approaches
1000 Autor/in
  1. Shaaban, Mostafa |
  2. Scheffran, Jürgen |
  3. Elsobk, Mohamed Salah |
  4. Azadi, Hossein |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-01-28
1000 Erschienen in
1000 Quellenangabe
  • 14(3):1563
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3390/su14031563 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal sustainable development
lokal energy modeling
lokal optimization modeling
lokal bottom-up energy model
lokal agent-based modeling
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/U2hhYWJhbiwgTW9zdGFmYQ==|https://orcid.org/0000-0002-7171-3062|https://frl.publisso.de/adhoc/uri/RWxzb2JrLCBNb2hhbWVkIFNhbGFo|https://frl.publisso.de/adhoc/uri/QXphZGksIEhvc3NlaW4=
1000 (Academic) Editor
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. CliSAP (EXC 177); CLICCS (EXC 2037)
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm CliSAP (EXC 177); CLICCS (EXC 2037)
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6431412.rdf
1000 Erstellt am 2022-02-09T15:15:15.167+0100
1000 Erstellt von 317
1000 beschreibt frl:6431412
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Wed Feb 09 15:17:24 CET 2022
1000 Objekt bearb. Wed Feb 09 15:16:41 CET 2022
1000 Vgl. frl:6431412
1000 Oai Id
  1. oai:frl.publisso.de:frl:6431412 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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