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Wind energy potential in Aden-Yemen

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  • Algifri, Abdulla H.

Abstract

The wind energy resource is very large and widely distributed throughout the world as well as in Yemen. Aden possesses a very good potential of wind energy. In this article a number of years data on wind speed in Aden has been studied and presented. A statistical analysis was carried out from which the annual wind speed was found to be 4.5 m/s and most of the time the wind speed is in the range of 3.5–7.5 m/s. The wind speed distributions were represented by Weibull and Rayleigh distributions. It was found that the Rayleigh distribution is suitable to represent the actual probability of wind speed data for Aden. The wind speed data showed that the maximum monthly wind speed occurs in the month of February with the maximum in the month of June. It is concluded that Aden can be explored for wind energy applications.

Suggested Citation

  • Algifri, Abdulla H., 1998. "Wind energy potential in Aden-Yemen," Renewable Energy, Elsevier, vol. 13(2), pages 255-260.
  • Handle: RePEc:eee:renene:v:13:y:1998:i:2:p:255-260
    DOI: 10.1016/S0960-1481(97)00069-4
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    References listed on IDEAS

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    1. Milborrow, David, 1994. "Economics of wind power and comparisons with conventional thermal plant," Renewable Energy, Elsevier, vol. 5(1), pages 692-699.
    2. Mays, Ian D., 1994. "Wind energy prospects for the future," Renewable Energy, Elsevier, vol. 5(1), pages 718-729.
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    Cited by:

    1. Bahrami, Arian & Teimourian, Amir & Okoye, Chiemeka Onyeka & Khosravi, Nima, 2019. "Assessing the feasibility of wind energy as a power source in Turkmenistan; a major opportunity for Central Asia's energy market," Energy, Elsevier, vol. 183(C), pages 415-427.
    2. Li, Meishen & Li, Xianguo, 2005. "MEP-type distribution function: a better alternative to Weibull function for wind speed distributions," Renewable Energy, Elsevier, vol. 30(8), pages 1221-1240.
    3. Yip, Chak Man Andrew & Gunturu, Udaya Bhaskar & Stenchikov, Georgiy L., 2016. "Wind resource characterization in the Arabian Peninsula," Applied Energy, Elsevier, vol. 164(C), pages 826-836.
    4. Ajlan, Abdullah & Tan, Chee Wei & Abdilahi, Abdirahman Mohamed, 2017. "Assessment of environmental and economic perspectives for renewable-based hybrid power system in Yemen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 559-570.
    5. Ahmed, Ahmed Shata, 2011. "Investigation of wind characteristics and wind energy potential at Ras Ghareb, Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2750-2755, August.
    6. Sarhan, Ameen & Hizam, Hashim & Mariun, Norman & Ya'acob, M.E., 2019. "An improved numerical optimization algorithm for sizing and configuration of standalone photo-voltaic system components in Yemen," Renewable Energy, Elsevier, vol. 134(C), pages 1434-1446.
    7. Khraiwish Dalabeeh, Ali S., 2017. "Techno-economic analysis of wind power generation for selected locations in Jordan," Renewable Energy, Elsevier, vol. 101(C), pages 1369-1378.
    8. Ahmed, Ahmed Shata, 2011. "Analysis of electrical power form the wind farm sitting on the Nile River of Aswan, Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1637-1645, April.
    9. Birgir Freyr Ragnarsson & Gudmundur V. Oddsson & Runar Unnthorsson & Birgir Hrafnkelsson, 2015. "Levelized Cost of Energy Analysis of a Wind Power Generation System at Búrfell in Iceland," Energies, MDPI, vol. 8(9), pages 1-22, September.
    10. Lashin, Aref & Shata, Ahmed, 2012. "An analysis of wind power potential in Port Said, Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6660-6667.
    11. Xydis, G. & Koroneos, C. & Loizidou, M., 2009. "Exergy analysis in a wind speed prognostic model as a wind farm sitting selection tool: A case study in Southern Greece," Applied Energy, Elsevier, vol. 86(11), pages 2411-2420, November.
    12. Olaofe, Zaccheus O. & Folly, Komla A., 2013. "Wind energy analysis based on turbine and developed site power curves: A case-study of Darling City," Renewable Energy, Elsevier, vol. 53(C), pages 306-318.
    13. Muhammad Fitra Zambak & Catra Indra Cahyadi & Jufri Helmi & Tengku Machdhalie Sofie & Suwarno Suwarno, 2023. "Evaluation and Analysis of Wind Speed with the Weibull and Rayleigh Distribution Models for Energy Potential Using Three Models," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 427-432, March.
    14. Hrayshat, Eyad S., 2007. "Wind resource assessment of the Jordanian southern region," Renewable Energy, Elsevier, vol. 32(11), pages 1948-1960.
    15. Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
    16. Shin, Ju-Young & Ouarda, Taha B.M.J. & Lee, Taesam, 2016. "Heterogeneous mixture distributions for modeling wind speed, application to the UAE," Renewable Energy, Elsevier, vol. 91(C), pages 40-52.
    17. Calif, Rudy & Emilion, Richard & Soubdhan, Ted, 2011. "Classification of wind speed distributions using a mixture of Dirichlet distributions," Renewable Energy, Elsevier, vol. 36(11), pages 3091-3097.

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