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A model for vertical wind speed data extrapolation for improving wind resource assessment using WAsP

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  • Đurišić, Željko
  • Mikulović, Jovan

Abstract

A mathematical model for vertical extrapolation of the measurement data for wind speed taken at several measurement heights is presented. The model is based on the method of least squares (LES). By applying the proposed model on the sets of measured data taken at least at three measurement heights, one obtains a synthetic set of data at a desired height where the wind power potential is analyzed. The basic idea is that during the process of estimation of the wind power potential the measurement data are first extrapolated by the proposed method and then by using program WAsP the spatial extrapolation is carried out. The algorithm is tested by one year wind speed measurement data taken at three locations characterized by different topographies of the terrain and different climatic conditions. The performed analyses show that pre-processing of measurement data by the proposed method results in a better estimate of the wind power potential at a height which is greater than the measurement heights compared to that obtained by the standard application of WAsP program which makes use of measurement data taken at one measurement height.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:41:y:2012:i:c:p:407-411
    DOI: 10.1016/j.renene.2011.11.016
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    1. Fox, Neil I., 2011. "A tall tower study of Missouri winds," Renewable Energy, Elsevier, vol. 36(1), pages 330-337.
    2. 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.
    3. Lackner, Matthew A. & Rogers, Anthony L. & Manwell, James F. & McGowan, Jon G., 2010. "A new method for improved hub height mean wind speed estimates using short-term hub height data," Renewable Energy, Elsevier, vol. 35(10), pages 2340-2347.
    4. 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.
    5. 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.
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    10. Mohammed Chakib Sekkal & Zakarya Ziani & Moustafa Yassine Mahdad & Sidi Mohammed Meliani & Mohammed Haris Baghli & Mohammed Zakaria Bessenouci, 2024. "Assessing the Wind Power Potential in Naama, Algeria to Complement Solar Energy through Integrated Modeling of the Wind Resource and Turbine Wind Performance," Energies, MDPI, vol. 17(4), pages 1-34, February.
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