Some statistical characteristics of monthly average wind speed at various heights

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 spe...

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Bibliographic Details
Published in:Renewable & sustainable energy reviews 2008-08, Vol.12 (6), p.1712-1724
Main Author: Tar, Károly
Format: Article
Language:English
Subjects:
Applied sciences
Energy
Exact sciences and technology
Hellmann's power law
Natural energy
Rayleigh distribution
Weibull distribution
Wind energy
Wind speed
Wind speed Wind energy Weibull distribution Rayleigh distribution Hellmann's power law
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Summary: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.
ISSN:1364-0321
1879-0690
DOI:10.1016/j.rser.2007.01.014