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Wind energy potential in Syria

Author

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  • Al-Mohamad, A
  • Karmeh, H

Abstract

Both wind energy potential and the electricity that could be generated by the wind for the Syrian land have been evaluated. An appropriate computer program was especially prepared and designed to perform the required calculations, mainly the wind energy potential and the generated electricity, using the available meteorological data provided by the Syrian Atlas. The program is capable of processing the wind data for any specific area, that is of course, in accordance with the needed requirements in fields of researches and applications.

Suggested Citation

  • Al-Mohamad, A & Karmeh, H, 2003. "Wind energy potential in Syria," Renewable Energy, Elsevier, vol. 28(7), pages 1039-1046.
    • Handle: RePEc:eee:renene:v:28:y:2003:i:7:p:1039-1046
    DOI: 10.1016/S0960-1481(02)00186-6
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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. 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. 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.
    4. Islam, M.R. & Saidur, R. & Rahim, N.A., 2011. "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, Elsevier, vol. 36(2), pages 985-992.
    5. 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.
    6. Pishgar-Komleh, S.H. & Keyhani, A. & Sefeedpari, P., 2015. "Wind speed and power density analysis based on Weibull and Rayleigh distributions (a case study: Firouzkooh county of Iran)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 313-322.

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