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Wind power energy potential at the northeastern region of Saudi Arabia

Author

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  • Şahin, Ahmet Z.
  • Aksakal, Ahmet

Abstract

In the present study the energy potential of wind for the Eastern Province of Saudi Arabia is investigated. A suitable Weibull distribution is generated based on the data obtained for a duration of one complete year at a costal location in northeastern Saudi Arabia. Comparison of this model is made with the Rayleigh distribution of wind power densities. Two horizontal-axis type of wind energy conversion systems which operate at fixed rpm are considered and a model of quadratic power output function is used. It is found that the error in using the Rayleigh approximation will be less than 10% of the full rated power density level.

Suggested Citation

  • Şahin, Ahmet Z. & Aksakal, Ahmet, 1998. "Wind power energy potential at the northeastern region of Saudi Arabia," Renewable Energy, Elsevier, vol. 14(1), pages 435-440.
    • Handle: RePEc:eee:renene:v:14:y:1998:i:1:p:435-440
    DOI: 10.1016/S0960-1481(98)00100-1
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    References listed on IDEAS

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    1. Al-Sulaiman, F.A. & Jamjoum, F.A., 1992. "Applications of wind power on the East coast of Saudi Arabia," Renewable Energy, Elsevier, vol. 2(1), pages 47-55.
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    Cited by:

    1. Jowder, Fawzi A.L., 2009. "Wind power analysis and site matching of wind turbine generators in Kingdom of Bahrain," Applied Energy, Elsevier, vol. 86(4), pages 538-545, April.
    2. 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.
    3. Vogiatzis, N. & Kotti, K. & Spanomitsios, S. & Stoukides, M., 2004. "Analysis of wind potential and characteristics in North Aegean, Greece," Renewable Energy, Elsevier, vol. 29(7), pages 1193-1208.
    4. Yasser Maklad, 2014. "Quantification and Costing of Domestic Electricity Generation for Armidale, New South Wales, Australia Utilising Micro Wind Turbines," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 208-219.
    5. 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.
    6. Safari, Bonfils & Gasore, Jimmy, 2010. "A statistical investigation of wind characteristics and wind energy potential based on the Weibull and Rayleigh models in Rwanda," Renewable Energy, Elsevier, vol. 35(12), pages 2874-2880.
    7. Eltamaly, Ali M., 2013. "Design and implementation of wind energy system in Saudi Arabia," Renewable Energy, Elsevier, vol. 60(C), pages 42-52.
    8. Maatallah, Taher & Ghodhbane, Nahed & Ben Nasrallah, Sassi, 2016. "Assessment viability for hybrid energy system (PV/wind/diesel) with storage in the northernmost city in Africa, Bizerte, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1639-1652.
    9. Fazelpour, Farivar & Soltani, Nima & Soltani, Sina & Rosen, Marc A., 2015. "Assessment of wind energy potential and economics in the north-western Iranian cities of Tabriz and Ardabil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 87-99.
    10. El Alimi, Souheil & Maatallah, Taher & Dahmouni, Anouar Wajdi & Ben Nasrallah, Sassi, 2012. "Modeling and investigation of the wind resource in the gulf of Tunis, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5466-5478.
    11. Shafiqur Rehman & Ahmet Z. Sahin, 2014. "Comparing the Use of Diesel and Wind Power in Pumping Water in Saudi Arabia," Energy & Environment, , vol. 25(2), pages 369-388, April.
    12. Al-Abbadi, Naif M., 2005. "Wind energy resource assessment for five locations in Saudi Arabia," Renewable Energy, Elsevier, vol. 30(10), pages 1489-1499.
    13. Keyhani, A. & Ghasemi-Varnamkhasti, M. & Khanali, M. & Abbaszadeh, R., 2010. "An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran," Energy, Elsevier, vol. 35(1), pages 188-201.
    14. 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.
    15. 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.

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