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A survey on the assessment of wind energy potential in Egypt

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  • Mayhoub, A.B.
  • Azzam, A.

Abstract

In this paper, wind data obtained from the Egyptian Meteorological Authority are used to assess monthly and annual wind power and wind energy. The study is based on data from 15 anemometer meteorological stations, distributed all over Egypt and covering a period ranging from 1973 to 1994. For these stations the wind data are summarized. The wind energy potential at the 25 m height was obtained by extrapolation of data at 10 m using a power-law expression. The result presents the mean wind energy density estimates and potential for application in Egypt. The analysis showed that along Red Sea coasts, the annual wind energy flux is found to be high, which indicates that these coastal stations are possible locations for wind energy utilization. On both the Mediterranean coast and in the interior parts of Egypt, some stations are of low available wind energy, while others are found to be rather high. Also, the two Weibull distribution parameters have been estimated from the wind speed data for some meteorological stations and the wind power density is calculated using the values of these parameters.

Suggested Citation

  • Mayhoub, A.B. & Azzam, A., 1997. "A survey on the assessment of wind energy potential in Egypt," Renewable Energy, Elsevier, vol. 11(2), pages 235-247.
    • Handle: RePEc:eee:renene:v:11:y:1997:i:2:p:235-247
    DOI: 10.1016/S0960-1481(96)00113-9
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    References listed on IDEAS

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    1. Pneumatikos, John D., 1991. "Wind energy potential in NW Peloponnese—Greece," Renewable Energy, Elsevier, vol. 1(1), pages 137-139.
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    Cited by:

    1. 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.
    2. Ahmed Shata, A.S. & Hanitsch, R., 2006. "The potential of electricity generation on the east coast of Red Sea in Egypt," Renewable Energy, Elsevier, vol. 31(10), pages 1597-1615.
    3. Tian, Qun & Huang, Gang & Hu, Kaiming & Niyogi, Dev, 2019. "Observed and global climate model based changes in wind power potential over the Northern Hemisphere during 1979–2016," Energy, Elsevier, vol. 167(C), pages 1224-1235.
    4. Sulaiman, M.Yusof & Akaak, Ahmed Mohammed & Wahab, Mahdi Abd & Zakaria, Azmi & Sulaiman, Z.Abidin & Suradi, Jamil, 2002. "Wind characteristics of Oman," Energy, Elsevier, vol. 27(1), pages 35-46.
    5. Mahdy, Mostafa & Bahaj, AbuBakr S., 2018. "Multi criteria decision analysis for offshore wind energy potential in Egypt," Renewable Energy, Elsevier, vol. 118(C), pages 278-289.
    6. Hamouda, Yasmina Abdellatif, 2012. "Wind energy in Egypt: Economic feasibility for Cairo," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3312-3319.
    7. Fadare, D.A., 2010. "The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria," Applied Energy, Elsevier, vol. 87(3), pages 934-942, March.
    8. 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.
    9. Gibson, Peter B. & Cullen, Nicolas J., 2015. "Synoptic and sub-synoptic circulation effects on wind resource variability – A case study from a coastal terrain setting in New Zealand," Renewable Energy, Elsevier, vol. 78(C), pages 253-263.
    10. 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.
    11. Ahmed, Ahmed Shata, 2012. "Potential wind power generation in South Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1528-1536.
    12. Yasser Maklad, 2014. "Sizing and Costing Optimisation of a Typical Wind/PV Hybrid Electricity Generation System for a Typical Residential Building in Urban Armidale NSW, Australia," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 163-168.
    13. 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.
    14. Elsayed A. Abdelsamie & Mostafa A. Abdellatif & Farag O. Hassan & Ahmed A. El Baroudy & Elsayed Said Mohamed & Dmitry E. Kucher & Mohamed S. Shokr, 2022. "Integration of RUSLE Model, Remote Sensing and GIS Techniques for Assessing Soil Erosion Hazards in Arid Zones," Agriculture, MDPI, vol. 13(1), pages 1-19, December.

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