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Transition to Low-Carbon Hydrogen Energy System in the UAE: Sector Efficiency and Hydrogen Energy Production Efficiency Analysis

Author

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  • Mustapha D. Ibrahim

    (Industrial Engineering Technology, Higher Colleges of Technology, Sharjah 7947, United Arab Emirates)

  • Fatima A. S. Binofai

    (Industrial Engineering Technology, Higher Colleges of Technology, Sharjah 7947, United Arab Emirates)

  • Maha O. A. Mohamad

    (Industrial Engineering Technology, Higher Colleges of Technology, Sharjah 7947, United Arab Emirates)

Abstract

To provide an effective energy transition, hydrogen is required to decarbonize the hard-to-abate industries. As a case study, this paper provides a holistic view of the hydrogen energy transition in the United Arab Emirates (UAE). By utilizing the directional distance function undesirable data envelopment analysis model, the energy, economic, and environmental efficiency of UAE sectors are estimated from 2001 to 2020 to prioritize hydrogen sector coupling. Green hydrogen production efficiency is analyzed from 2020 to 2050. The UAE should prioritize the industry and transportation sectors, with average efficiency scores of 0.7 and 0.74. The decomposition of efficiency into pure technical efficiency and scale efficiency suggests policies and strategies should target upscaling the UAE’s low-carbon hydrogen production capacity to expedite short-term and overall production efficiency. The findings of this study can guide strategies and policies for the UAE’s low-carbon hydrogen transition. A framework is developed based on the findings of the study.

Suggested Citation

  • Mustapha D. Ibrahim & Fatima A. S. Binofai & Maha O. A. Mohamad, 2022. "Transition to Low-Carbon Hydrogen Energy System in the UAE: Sector Efficiency and Hydrogen Energy Production Efficiency Analysis," Energies, MDPI, vol. 15(18), pages 1-19, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6663-:d:913070
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    References listed on IDEAS

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    1. Mei, Mei & Chen, Zhihua, 2021. "Evaluation and selection of sustainable hydrogen production technology with hybrid uncertain sustainability indicators based on rough-fuzzy BWM-DEA," Renewable Energy, Elsevier, vol. 165(P1), pages 716-730.
    2. Guannan He & Dharik S. Mallapragada & Abhishek Bose & Clara F. Heuberger & Emre Genc{c}er, 2021. "Sector coupling via hydrogen to lower the cost of energy system decarbonization," Papers 2103.03442, arXiv.org.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Kazim, Ayoub, 2010. "Strategy for a sustainable development in the UAE through hydrogen energy," Renewable Energy, Elsevier, vol. 35(10), pages 2257-2269.
    5. Omais Abdur Rehman & Valeria Palomba & Andrea Frazzica & Luisa F. Cabeza, 2021. "Enabling Technologies for Sector Coupling: A Review on the Role of Heat Pumps and Thermal Energy Storage," Energies, MDPI, vol. 14(24), pages 1-30, December.
    6. Sedef E. Kara & Mustapha D. Ibrahim & Sahand Daneshvar, 2021. "Dual Efficiency and Productivity Analysis of Renewable Energy Alternatives of OECD Countries," Sustainability, MDPI, vol. 13(13), pages 1-14, July.
    7. Ishaq, H. & Dincer, I., 2021. "Comparative assessment of renewable energy-based hydrogen production methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    8. Hans Christian Gils & Sonja Simon & Rafael Soria, 2017. "100% Renewable Energy Supply for Brazil—The Role of Sector Coupling and Regional Development," Energies, MDPI, vol. 10(11), pages 1-22, November.
    9. Yuanying Chi & Meng Xiao & Yuexia Pang & Menghan Yang & Yuhao Zheng, 2022. "Financing Efficiency Evaluation and Influencing Factors of Hydrogen Energy Listed Enterprises in China," Energies, MDPI, vol. 15(1), pages 1-16, January.
    10. Yifei Lu & Thiemo Pesch & Andrea Benigni, 2021. "Simulation of Coupled Power and Gas Systems with Hydrogen-Enriched Natural Gas," Energies, MDPI, vol. 14(22), pages 1-17, November.
    11. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    12. Jasmine Ramsebner & Reinhard Haas & Amela Ajanovic & Martin Wietschel, 2021. "The sector coupling concept: A critical review," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 10(4), July.
    13. Eveloy, Valerie & Gebreegziabher, Tesfaldet, 2019. "Excess electricity and power-to-gas storage potential in the future renewable-based power generation sector in the United Arab Emirates," Energy, Elsevier, vol. 166(C), pages 426-450.
    14. Rissman, Jeffrey & Bataille, Chris & Masanet, Eric & Aden, Nate & Morrow, William R. & Zhou, Nan & Elliott, Neal & Dell, Rebecca & Heeren, Niko & Huckestein, Brigitta & Cresko, Joe & Miller, Sabbie A., 2020. "Technologies and policies to decarbonize global industry: Review and assessment of mitigation drivers through 2070," Applied Energy, Elsevier, vol. 266(C).
    15. Tao Xu & Jianxin You & Hui Li & Luning Shao, 2020. "Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review," Energies, MDPI, vol. 13(14), pages 1-20, July.
    16. Abdulrahman Joubi & Yutaro Akimoto & Keiichi Okajima, 2022. "A Production and Delivery Model of Hydrogen from Solar Thermal Energy in the United Arab Emirates," Energies, MDPI, vol. 15(11), pages 1-14, May.
    17. Michel Noussan & Pier Paolo Raimondi & Rossana Scita & Manfred Hafner, 2020. "The Role of Green and Blue Hydrogen in the Energy Transition—A Technological and Geopolitical Perspective," Sustainability, MDPI, vol. 13(1), pages 1-26, December.
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    2. Abdul Ghani Olabi & Enas Taha Sayed, 2023. "Developments in Hydrogen Fuel Cells," Energies, MDPI, vol. 16(5), pages 1-5, March.
    3. Grigorios L. Kyriakopoulos & Konstantinos G. Aravossis, 2023. "Literature Review of Hydrogen Energy Systems and Renewable Energy Sources," Energies, MDPI, vol. 16(22), pages 1-21, November.
    4. Ibrahim, Mustapha D. & Pereira, Miguel Alves & Caldas, Paulo, 2024. "Efficiency analysis of the innovation-driven sustainable logistics industry," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
    5. Mohsen Fallah Vostakola & Hasan Ozcan & Rami S. El-Emam & Bahman Amini Horri, 2023. "Recent Advances in High-Temperature Steam Electrolysis with Solid Oxide Electrolysers for Green Hydrogen Production," Energies, MDPI, vol. 16(8), pages 1-50, April.

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