Some statistical characteristics of monthly average wind speed at various heights

Károly Tar

Renewable and Sustainable Energy Reviews, 2008, vol. 12, issue 6, 1712-1724

Abstract: The article, which is a segment of a complex wind energy examination, uses statistical methods to analyze the time series of monthly average wind speed in the period between 1991 and 2000 measured on seven Hungarian meteorological stations. Empirical distribution of measured monthly average wind speeds is approximated by theoretical distributions to claim that certain distributions are universal, i.e. independent of orography. We used one of them, the Weibull distribution, to generate the distribution of monthly average wind speeds on levels different from anemometer altitude as well, then we calculate the averages for the entire period and we fit a power function on them. Thus we can demonstrate a correlation between Hellmann's wind profile law and the Weibull distribution.

Keywords: Wind; speed; Wind; energy; Weibull; distribution; Rayleigh; distribution; Hellmann's; power; law (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (27)

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