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An Approach to Determine the Weibull Parameters for Wind Energy Analysis: The Case of Galicia (Spain)

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  • Camilo Carrillo

    (Department of Electrical Engineering, University of Vigo, EEI, Campus Univ. s/n, Vigo 36310, Spain)

  • José Cidrás

    (Department of Electrical Engineering, University of Vigo, EEI, Campus Univ. s/n, Vigo 36310, Spain)

  • Eloy Díaz-Dorado

    (Department of Electrical Engineering, University of Vigo, EEI, Campus Univ. s/n, Vigo 36310, Spain)

  • Andrés Felipe Obando-Montaño

    (Department of Electrical Engineering, University of Vigo, EEI, Campus Univ. s/n, Vigo 36310, Spain)

Abstract

The Weibull probability density function (PDF) has mostly been used to fit wind speed distributions for wind energy applications. The goodness of fit of the results depends on the estimation method that was used and the wind type of the analyzed area. In this paper, a study on a particular area (Galicia) was performed to test the performance of several fitting methods. The goodness of fit was evaluated by well-known indicators that use the wind speed or the available wind power density. However, energy production must be a critical parameter in wind energy applications. Hence, a fitting method that accounts for the power density distribution is proposed. To highlight the usefulness of this method, indicators that use energy production values are also presented.

Suggested Citation

  • Camilo Carrillo & José Cidrás & Eloy Díaz-Dorado & Andrés Felipe Obando-Montaño, 2014. "An Approach to Determine the Weibull Parameters for Wind Energy Analysis: The Case of Galicia (Spain)," Energies, MDPI, vol. 7(4), pages 1-25, April.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:4:p:2676-2700:d:35419
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    References listed on IDEAS

    as
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    4. Mathew, Sathyajith & Pandey, K.P. & Kumar.V, Anil, 2002. "Analysis of wind regimes for energy estimation," Renewable Energy, Elsevier, vol. 25(3), pages 381-399.
    5. Hu, Ssu-yuan & Cheng, Jung-ho, 2007. "Performance evaluation of pairing between sites and wind turbines," Renewable Energy, Elsevier, vol. 32(11), pages 1934-1947.
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