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Specific wind energy as a function of mean speed

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  • Mihelić-Bogdanić, Alka
  • Budin, Rajka

Abstract

The most important parameter for the calculation of the specific wind energy is the duration for each wind speed separately. This paper includes the Rayleigh distribution and real variable efficiency depending on the mean wind speed in comparison with Betz limits and 100% efficiency. The calculation leads to the conclusion that the results are about four times higher with Betz efficiency and seven with 100% efficiency by selected wind speed.

Suggested Citation

  • Mihelić-Bogdanić, Alka & Budin, Rajka, 1992. "Specific wind energy as a function of mean speed," Renewable Energy, Elsevier, vol. 2(6), pages 573-576.
  • Handle: RePEc:eee:renene:v:2:y:1992:i:6:p:573-576
    DOI: 10.1016/0960-1481(92)90020-4
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    References listed on IDEAS

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    1. Nfaoui, H. & Bahraui, J. & Darwish, A.S. & Sayigh, A.A.M., 1991. "Wind energy potential in Morocco," Renewable Energy, Elsevier, vol. 1(1), pages 1-8.
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    2. Villanueva, D. & Feijóo, A., 2010. "Wind power distributions: A review of their applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1490-1495, June.
    3. 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.
    4. Ahmed, Ahmed Shata, 2012. "Potential wind power generation in South Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1528-1536.
    5. Ahmed, Ahmed Shata, 2010. "Wind energy as a potential generation source at Ras Benas, Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2167-2173, October.
    6. 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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