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Predictions of UAE's renewable energy mix in 2030

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  • Said, Zafar
  • Alshehhi, Abdulla A
  • Mehmood, Aamir

Abstract

The main objective of this paper is to analyze and propose the United Arab Emirates (UAE) plan of Renewable Energy mix in 2030 to achieve the government target of reducing the greenhouse gas emissions of CO2 while maintaining the electricity price to a minimum. The study includes many proposals of the energy mix for electricity to achieve the target, and a comparison study to IRENA's proposal to select the most suitable energy mix plan in terms of CO2 reduction while maintaining the electricity price. The analysis has been conducted in two different cases: the first case analyzed where the government of UAE does not implement CO2 taxation of hydrocarbon fuels used to generate electricity; however, the second case analyzed if the government apply CO2 taxations what would the results be. Further on, calculations of the surplus energy were implemented for future studies on utilization of the excess energy or reducing the power capacity. This paper provides a background analysis of UAE's electricity consumptions and future government plans.

Suggested Citation

  • Said, Zafar & Alshehhi, Abdulla A & Mehmood, Aamir, 2018. "Predictions of UAE's renewable energy mix in 2030," Renewable Energy, Elsevier, vol. 118(C), pages 779-789.
    • Handle: RePEc:eee:renene:v:118:y:2018:i:c:p:779-789
    DOI: 10.1016/j.renene.2017.11.075
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    References listed on IDEAS

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    5. Sgouridis, Sgouris & Ali, Mohamed & Sleptchenko, Andrei & Bouabid, Ali & Ospina, Gustavo, 2021. "Aluminum smelters in the energy transition: Optimal configuration and operation for renewable energy integration in high insolation regions," Renewable Energy, Elsevier, vol. 180(C), pages 937-953.
    6. Sinha, Avik & Shah, Muhammad Ibrahim & Sengupta, Tuhin & Jiao, Zhilun, 2020. "Analyzing Technology-Emissions Association in Top-10 Polluted MENA Countries: How to Ascertain Sustainable Development by Quantile Modeling Approach," MPRA Paper 100253, University Library of Munich, Germany, revised 2020.
    7. Brumana, Giovanni & Franchini, Giuseppe & Ghirardi, Elisa & Perdichizzi, Antonio, 2022. "Techno-economic optimization of hybrid power generation systems: A renewables community case study," Energy, Elsevier, vol. 246(C).

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