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Wind shear coefficient, turbulence intensity and wind power potential assessment for Dhulom, Saudi Arabia

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  • Rehman, Shafiqur
  • Al-Abbadi, Naif M.

Abstract

The study presents the local values of wind shear coefficient (WSC) estimated using wind speed measurements made at 20, 30 and 40m above ground level (AGL) during November 01, 1998 and October 12, 2002. The study also includes the local values of air density calculated using temperature and pressure measurement made at 2m AGL during the same period. The mean wind speed above 4m/s and the standard deviation values were used to obtain the turbulence intensities (TI) at different heights. These local values of WSC were used to estimate the wind speed at hub-height of the wind turbines used in this study. Energy yield was calculated for a hypothetical wind form of 60MW installed capacity assumed to be consisting of 100, 60 and 30 wind turbines of 600, 1000 and 2000kW from DeWind, respectively.

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  • Rehman, Shafiqur & Al-Abbadi, Naif M., 2008. "Wind shear coefficient, turbulence intensity and wind power potential assessment for Dhulom, Saudi Arabia," Renewable Energy, Elsevier, vol. 33(12), pages 2653-2660.
    • Handle: RePEc:eee:renene:v:33:y:2008:i:12:p:2653-2660
    DOI: 10.1016/j.renene.2008.02.012
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    References listed on IDEAS

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    5. Rehman, Shafiqur & Ahmad, Aftab, 2004. "Assessment of wind energy potential for coastal locations of the Kingdom of Saudi Arabia," Energy, Elsevier, vol. 29(8), pages 1105-1115.
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    Cited by:

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    7. Gualtieri, Giovanni & Secci, Sauro, 2011. "Comparing methods to calculate atmospheric stability-dependent wind speed profiles: A case study on coastal location," Renewable Energy, Elsevier, vol. 36(8), pages 2189-2204.
    8. Shen, Xin & Zhu, Xiaocheng & Du, Zhaohui, 2011. "Wind turbine aerodynamics and loads control in wind shear flow," Energy, Elsevier, vol. 36(3), pages 1424-1434.
    9. Asadi, Meysam & Pourhossein, Kazem, 2021. "Wind farm site selection considering turbulence intensity," Energy, Elsevier, vol. 236(C).
    10. Ramli, Makbul A.M. & Twaha, Ssennoga & Al-Hamouz, Zakariya, 2017. "Analyzing the potential and progress of distributed generation applications in Saudi Arabia: The case of solar and wind resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 287-297.
    11. M. Mujahid Rafique & Shafiqur Rehman & Md. Mahbub Alam & Luai M. Alhems, 2018. "Feasibility of a 100 MW Installed Capacity Wind Farm for Different Climatic Conditions," Energies, MDPI, vol. 11(8), pages 1-18, August.
    12. Đurišić, Željko & Mikulović, Jovan, 2012. "A model for vertical wind speed data extrapolation for improving wind resource assessment using WAsP," Renewable Energy, Elsevier, vol. 41(C), pages 407-411.
    13. Eltamaly, Ali M., 2013. "Design and implementation of wind energy system in Saudi Arabia," Renewable Energy, Elsevier, vol. 60(C), pages 42-52.
    14. Gualtieri, Giovanni, 2015. "Surface turbulence intensity as a predictor of extrapolated wind resource to the turbine hub height," Renewable Energy, Elsevier, vol. 78(C), pages 68-81.
    15. Gualtieri, Giovanni & Secci, Sauro, 2011. "Wind shear coefficients, roughness length and energy yield over coastal locations in Southern Italy," Renewable Energy, Elsevier, vol. 36(3), pages 1081-1094.
    16. Li, Jiale & Yu, Xiong (Bill), 2018. "Onshore and offshore wind energy potential assessment near Lake Erie shoreline: A spatial and temporal analysis," Energy, Elsevier, vol. 147(C), pages 1092-1107.
    17. Gualtieri, Giovanni & Secci, Sauro, 2014. "Extrapolating wind speed time series vs. Weibull distribution to assess wind resource to the turbine hub height: A case study on coastal location in Southern Italy," Renewable Energy, Elsevier, vol. 62(C), pages 164-176.
    18. Dahmouni, A.W. & Salah, M. Ben & Askri, F. & Kerkeni, C. & Nasrallah, S. Ben, 2010. "Wind energy in the Gulf of Tunis, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1303-1311, May.
    19. Sánchez-Lozano, J.M. & García-Cascales, M.S. & Lamata, M.T., 2014. "Identification and selection of potential sites for onshore wind farms development in Region of Murcia, Spain," Energy, Elsevier, vol. 73(C), pages 311-324.
    20. Li, Jiale & Song, Zihao & Wang, Xuefei & Wang, Yanru & Jia, Yaya, 2022. "A novel offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD," Energy, Elsevier, vol. 251(C).
    21. Murthy, K.S.R. & Rahi, O.P., 2017. "A comprehensive review of wind resource assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1320-1342.
    22. Fırtın, Ebubekir & Güler, Önder & Akdağ, Seyit Ahmet, 2011. "Investigation of wind shear coefficients and their effect on electrical energy generation," Applied Energy, Elsevier, vol. 88(11), pages 4097-4105.
    23. Dahmouni, A.W. & Ben Salah, M. & Askri, F. & Kerkeni, C. & Ben Nasrallah, S., 2011. "Assessment of wind energy potential and optimal electricity generation in Borj-Cedria, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 815-820, January.
    24. Kwami Senam A. Sedzro & Adekunlé Akim Salami & Pierre Akuété Agbessi & Mawugno Koffi Kodjo, 2022. "Comparative Study of Wind Energy Potential Estimation Methods for Wind Sites in Togo and Benin (West Sub-Saharan Africa)," Energies, MDPI, vol. 15(22), pages 1-28, November.

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