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A multi-criteria optimization analysis for Jordan's energy mix

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  • Malkawi, Salaheddin
  • Al-Nimr, Moh'd
  • Azizi, Danah

Abstract

In this study Jordan's energy options were evaluated and ranked with respect to several criteria clusters including financial, technical, environmental, ecological, social, and risk assessment. The Analytical Hierarchy Process; a multi-criteria decision-making analysis, was selected to evaluate the electricity generation options for Jordan. Energy options covered in the analysis include both conventional and renewable sources. Conventional sources evaluated include Oil and Natural Gas. Renewable sources covered wind, biomass, Photovoltaic and concentrated solar systems. The study also investigated generation from nuclear energy and direct combustion of oil shale as well as demand side savings from energy efficiency measures as a resource. Results indicate that to date; conventional fuels remain Jordan's most feasible options from a technical and financial perspective. Nonetheless diversification is essential to promoting energy security as well as environmental welfare. Results indicate that Jordan's best diversification options are nuclear, oil shale, biomass, and wind energy.

Suggested Citation

  • Malkawi, Salaheddin & Al-Nimr, Moh'd & Azizi, Danah, 2017. "A multi-criteria optimization analysis for Jordan's energy mix," Energy, Elsevier, vol. 127(C), pages 680-696.
    • Handle: RePEc:eee:energy:v:127:y:2017:i:c:p:680-696
    DOI: 10.1016/j.energy.2017.04.015
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    4. Yilan, Gülşah & Kadirgan, M.A. Neşet & Çiftçioğlu, Gökçen A., 2020. "Analysis of electricity generation options for sustainable energy decision making: The case of Turkey," Renewable Energy, Elsevier, vol. 146(C), pages 519-529.
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    12. Simsek, Yeliz & Watts, David & Escobar, Rodrigo, 2018. "Sustainability evaluation of Concentrated Solar Power (CSP) projects under Clean Development Mechanism (CDM) by using Multi Criteria Decision Method (MCDM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 421-438.
    13. Lihui Zhang & He Xin & Zhinan Kan, 2019. "Sustainability Performance Evaluation of Hybrid Energy System Using an Improved Fuzzy Synthetic Evaluation Approach," Sustainability, MDPI, vol. 11(5), pages 1-19, February.
    14. Thushara, De Silva M. & Hornberger, George M. & Baroud, Hiba, 2019. "Decision analysis to support the choice of a future power generation pathway for Sri Lanka," Applied Energy, Elsevier, vol. 240(C), pages 680-697.
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