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Long-Term Electricity Scenarios for the MENA Region: Assessing the Preferences of Local Stakeholders Using Multi-Criteria Analyses

Author

Listed:
  • Ole Zelt

    (Division Future Energy and Industry Systems, Wuppertal Institute for Climate, Environment and Energy, 42103 Wuppertal, Germany)

  • Christine Krüger

    (Division Future Energy and Industry Systems, Wuppertal Institute for Climate, Environment and Energy, 42103 Wuppertal, Germany)

  • Marina Blohm

    (Center for Sustainable Energy Systems, Europa-Universität Flensburg, 24937 Flensburg, Germany)

  • Sönke Bohm

    (Institute of Geosciences, Christian-Albrechts-Universität zu Kiel, 24118 Kiel, Germany)

  • Shahrazad Far

    (Center for Development Research (ZEF), University of Bonn, 53113 Bonn, Germany)

Abstract

In recent years, most countries in the Middle East and North Africa (MENA), including Jordan, Morocco and Tunisia, have rolled out national policies with the goal of decarbonising their economies. Energy policy goals in these countries have been characterised by expanding the deployment of renewable energy technologies in the electricity mix in the medium term (i.e., until 2030). This tacitly signals a transformation of socio-technical systems by 2030 and beyond. Nevertheless, how these policy objectives actually translate into future scenarios that can also take into account a long-term perspective up to 2050 and correspond to local preferences remains largely understudied. This paper aims to fill this gap by identifying the most widely preferred long-term electricity scenarios for Jordan, Morocco and Tunisia. During a series of two-day workshops (one in each country), the research team, along with local stakeholders, adopted a participatory approach to develop multiple 2050 electricity scenarios, which enabled electricity pathways to be modelled using Renewable Energy Pathway Simulation System GIS (renpassG!S). We subsequently used the Analytical Hierarchy Process (AHP) within a Multi-Criteria Analysis (MCA) to capture local preferences. The empirical findings show that local stakeholders in all three countries preferred electricity scenarios mainly or even exclusively based on renewables. The findings demonstrate a clear preference for renewable energies and show that useful insights can be generated using participatory approaches to energy planning.

Suggested Citation

  • Ole Zelt & Christine Krüger & Marina Blohm & Sönke Bohm & Shahrazad Far, 2019. "Long-Term Electricity Scenarios for the MENA Region: Assessing the Preferences of Local Stakeholders Using Multi-Criteria Analyses," Energies, MDPI, vol. 12(16), pages 1-26, August.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3046-:d:255660
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    References listed on IDEAS

    as
    1. Connolly, D. & Lund, H. & Mathiesen, B.V., 2016. "Smart Energy Europe: The technical and economic impact of one potential 100% renewable energy scenario for the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1634-1653.
    2. Štreimikienė, Dalia & Šliogerienė, Jūratė & Turskis, Zenonas, 2016. "Multi-criteria analysis of electricity generation technologies in Lithuania," Renewable Energy, Elsevier, vol. 85(C), pages 148-156.
    3. Henning, Hans-Martin & Palzer, Andreas, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies—Part I: Methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1003-1018.
    4. Strantzali, Eleni & Aravossis, Konstantinos & Livanos, Georgios A., 2017. "Evaluation of future sustainable electricity generation alternatives: The case of a Greek island," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 775-787.
    5. Brand, Bernhard & Missaoui, Rafik, 2014. "Multi-criteria analysis of electricity generation mix scenarios in Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 251-261.
    6. Klein, Sharon J.W. & Whalley, Stephanie, 2015. "Comparing the sustainability of U.S. electricity options through multi-criteria decision analysis," Energy Policy, Elsevier, vol. 79(C), pages 127-149.
    7. Nayyar Hussain Mirjat & Mohammad Aslam Uqaili & Khanji Harijan & Mohd Wazir Mustafa & Md. Mizanur Rahman & M. Waris Ali Khan, 2018. "Multi-Criteria Analysis of Electricity Generation Scenarios for Sustainable Energy Planning in Pakistan," Energies, MDPI, vol. 11(4), pages 1-33, March.
    8. Marko Bohanec & Nejc Trdin & Branko Kontić, 2017. "A qualitative multi-criteria modelling approach to the assessment of electric energy production technologies in Slovenia," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(3), pages 611-625, September.
    9. Geels, Frank W., 2002. "Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study," Research Policy, Elsevier, vol. 31(8-9), pages 1257-1274, December.
    10. Viebahn, Peter & Soukup, Ole & Samadi, Sascha & Teubler, Jens & Wiesen, Klaus & Ritthoff, Michael, 2015. "Assessing the need for critical minerals to shift the German energy system towards a high proportion of renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 655-671.
    11. Volker Krey & Leon Clarke, 2011. "Role of renewable energy in climate mitigation: a synthesis of recent scenarios," Climate Policy, Taylor & Francis Journals, vol. 11(4), pages 1131-1158, July.
    12. Palzer, Andreas & Henning, Hans-Martin, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies – Part II: Results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1019-1034.
    13. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    14. Blakers, Andrew & Lu, Bin & Stocks, Matthew, 2017. "100% renewable electricity in Australia," Energy, Elsevier, vol. 133(C), pages 471-482.
    15. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    16. Mostafa Shaaban & Jürgen Scheffran & Jürgen Böhner & Mohamed S. Elsobki, 2018. "Sustainability Assessment of Electricity Generation Technologies in Egypt Using Multi-Criteria Decision Analysis," Energies, MDPI, vol. 11(5), pages 1-25, May.
    17. Smith, Adrian & Voß, Jan-Peter & Grin, John, 2010. "Innovation studies and sustainability transitions: The allure of the multi-level perspective and its challenges," Research Policy, Elsevier, vol. 39(4), pages 435-448, May.
    18. Markard, Jochen & Raven, Rob & Truffer, Bernhard, 2012. "Sustainability transitions: An emerging field of research and its prospects," Research Policy, Elsevier, vol. 41(6), pages 955-967.
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    2. Rodrigo A. Estévez & Valeria Espinoza & Roberto D. Ponce Oliva & Felipe Vásquez-Lavín & Stefan Gelcich, 2021. "Multi-Criteria Decision Analysis for Renewable Energies: Research Trends, Gaps and the Challenge of Improving Participation," Sustainability, MDPI, vol. 13(6), pages 1-13, March.
    3. Israel Herrera & Irene Rodríguez‐Serrano & Daniel Garrain & Yolanda Lechón & Armando Oliveira, 2020. "Sustainability assessment of a novel micro solar thermal: Biomass heat and power plant in Morocco," Journal of Industrial Ecology, Yale University, vol. 24(6), pages 1379-1392, December.
    4. Simon Hilpert & Franziska Dettner & Ahmed Al-Salaymeh, 2020. "Analysis of Cost-Optimal Renewable Energy Expansion for the Near-Term Jordanian Electricity System," Sustainability, MDPI, vol. 12(22), pages 1-21, November.
    5. Limei Liu & Xinyun Chen & Yi Yang & Junfeng Yang & Jie Chen, 2023. "Prioritization of Off-Grid Hybrid Renewable Energy Systems for Residential Communities in China Considering Public Participation with Basic Uncertain Linguistic Information," Sustainability, MDPI, vol. 15(11), pages 1-30, May.
    6. Lonergan, Katherine Emma & Suter, Nicolas & Sansavini, Giovanni, 2023. "Energy systems modelling for just transitions," Energy Policy, Elsevier, vol. 183(C).
    7. Ramchandra Bhandari & Benjamin Eduardo Arce & Vittorio Sessa & Rabani Adamou, 2021. "Sustainability Assessment of Electricity Generation in Niger Using a Weighted Multi-Criteria Decision Approach," Sustainability, MDPI, vol. 13(1), pages 1-25, January.
    8. Zachariadis,Theodoros & Giannakis,Elias & Taliotis,Constantinos & Karmellos,Marios & Fylaktos,Nestor & Howells,Mark Idwal & Blyth,William James & Hallegatte,Stephane, 2021. ""Building Back Better" in Practice: A Science-Policy Framework for a Green Economic Recovery after COVID-19," Policy Research Working Paper Series 9528, The World Bank.

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