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contributor authorHennessey, Joseph P.
date accessioned2017-06-09T17:38:57Z
date available2017-06-09T17:38:57Z
date copyright1977/02/01
date issued1977
identifier issn0021-8952
identifier otherams-9225.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4232690
description abstractSome of the problems of wind power statistics are examined. The exact relationship between the mean wind speed and the mean of the cube of the wind speed is discussed. The Weibull probability density function, a good model for wind speed distributions, leads to a Weibull model for the distribution of the cube of the wind speed. This model facilitates the computation of the mean and the standard deviation of the total wind power density, the usable wind power density, and the wind power density during the hours when an aerogenerator is operating. The Weibull model is applied to data from three Oregon wind power sites located in rugged terrain. It is concluded that the mean and standard deviation of the wind speed are the minimum statistics necessary for wind power estimates, that the Weibull model for the wind power density has many computational advantages, and that the existing wind power studies based solely on the total mean wind power density omit much valuable information about the wind power potential of a site.
publisherAmerican Meteorological Society
titleSome Aspects of Wind Power Statistics
typeJournal Paper
journal volume16
journal issue2
journal titleJournal of Applied Meteorology
identifier doi10.1175/1520-0450(1977)016<0119:SAOWPS>2.0.CO;2
journal fristpage119
journal lastpage128
treeJournal of Applied Meteorology:;1977:;volume( 016 ):;issue: 002
contenttypeFulltext


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