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Two and three-parameter Weibull distribution in available wind power analysis

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  • Wais, Piotr

Abstract

Based on the current EU environmental policy, wind power industry has been growing fast in recent years. Knowledge of wind characteristics helps to define site requirements, choose a proper turbine design and estimate profits from the wind energy production.

Suggested Citation

  • Wais, Piotr, 2017. "Two and three-parameter Weibull distribution in available wind power analysis," Renewable Energy, Elsevier, vol. 103(C), pages 15-29.
  • Handle: RePEc:eee:renene:v:103:y:2017:i:c:p:15-29
    DOI: 10.1016/j.renene.2016.10.041
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    References listed on IDEAS

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    8. Chang, Tian Pau, 2011. "Estimation of wind energy potential using different probability density functions," Applied Energy, Elsevier, vol. 88(5), pages 1848-1856, May.
    9. 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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