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Offshore wind resource assessment of Persian Gulf using uncertainty analysis and GIS

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  • Amirinia, Gholamreza
  • Mafi, Somayeh
  • Mazaheri, Said

Abstract

This paper, focused on offshore wind resource assessment of the Persian Gulf using uncertainty method. In this method, for better estimation of wind energy potential, the uncertainties due to wind speed, sea surface roughness, air density and wind turbine power production were considered. For this purpose, first, a 25-year (1984–2008) ECMWF (European Center for Medium-Range Weather Forecasts) data from over 550 points in the region were collected. Then by analyzing the data, the probability of density of each parameter was established. Next; a Monte Carlo simulation was used for long-term simulation of wind field and energy production. The results showed that the Persian Gulf is capable of generating over 2980 GWh per year which is 5.3% lower than results of the conventional analysis. A detailed GIS (Geographic Information System) analysis depicted that middle and southern parts of the region have a high level of wind energy potential. Also, an economic analysis showed that by 15% interest rate, offshore wind farms cannot compete the global electricity production rates; however, by decreasing the interest rate to 5%, the southern, southwestern, and a part of northern shoreline are capable of generating offshore wind electricity in the range of global offshore electricity production costs.

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  • Amirinia, Gholamreza & Mafi, Somayeh & Mazaheri, Said, 2017. "Offshore wind resource assessment of Persian Gulf using uncertainty analysis and GIS," Renewable Energy, Elsevier, vol. 113(C), pages 915-929.
    • Handle: RePEc:eee:renene:v:113:y:2017:i:c:p:915-929
    DOI: 10.1016/j.renene.2017.06.070
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    Cited by:

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    3. Kim, Ji-Young & Oh, Ki-Yong & Kim, Min-Suek & Kim, Kwang-Yul, 2019. "Evaluation and characterization of offshore wind resources with long-term met mast data corrected by wind lidar," Renewable Energy, Elsevier, vol. 144(C), pages 41-55.
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    5. Lins, Davi Ribeiro & Guedes, Kevin Santos & Pitombeira-Neto, Anselmo Ramalho & Rocha, Paulo Alexandre Costa & de Andrade, Carla Freitas, 2023. "Comparison of the performance of different wind speed distribution models applied to onshore and offshore wind speed data in the Northeast Brazil," Energy, Elsevier, vol. 278(PA).
    6. Valliyil Mohammed Aboobacker & Puthuveetil Razak Shanas & Subramanian Veerasingam & Ebrahim M. A. S. Al-Ansari & Fadhil N. Sadooni & Ponnumony Vethamony, 2021. "Long-Term Assessment of Onshore and Offshore Wind Energy Potentials of Qatar," Energies, MDPI, vol. 14(4), pages 1-21, February.
    7. Salcedo-Sanz, S. & García-Herrera, R. & Camacho-Gómez, C. & Aybar-Ruíz, A. & Alexandre, E., 2018. "Wind power field reconstruction from a reduced set of representative measuring points," Applied Energy, Elsevier, vol. 228(C), pages 1111-1121.
    8. Mahmoodi, Kumars & Ghassemi, Hassan & Razminia, Abolhassan, 2020. "Performance assessment of a two-body wave energy converter based on the Persian Gulf wave climate," Renewable Energy, Elsevier, vol. 159(C), pages 519-537.
    9. Chen, Xinping & Foley, Aoife & Zhang, Zenghai & Wang, Kaimin & O'Driscoll, Kieran, 2020. "An assessment of wind energy potential in the Beibu Gulf considering the energy demands of the Beibu Gulf Economic Rim," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    10. Christina Ortega & Amin Younes & Mark Severy & Charles Chamberlin & Arne Jacobson, 2020. "Resource and Load Compatibility Assessment of Wind Energy Offshore of Humboldt County, California," Energies, MDPI, vol. 13(21), pages 1-27, October.
    11. Shengjin Wang & Hongru Yang & Quoc Bao Pham & Dao Nguyen Khoi & Pham Thi Thao Nhi, 2020. "An Ensemble Framework to Investigate Wind Energy Sustainability Considering Climate Change Impacts," Sustainability, MDPI, vol. 12(3), pages 1-17, January.
    12. Peters, Jared L. & Remmers, Tiny & Wheeler, Andrew J. & Murphy, Jimmy & Cummins, Valerie, 2020. "A systematic review and meta-analysis of GIS use to reveal trends in offshore wind energy research and offer insights on best practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    13. Nie, Bingchuan & Li, Jiachun, 2018. "Technical potential assessment of offshore wind energy over shallow continent shelf along China coast," Renewable Energy, Elsevier, vol. 128(PA), pages 391-399.

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