ESTIMATION OF WIND POWER DENSITY AT AN INTERNATIONAL AIRPORT
Abstract
This paper deals with the development of a statistical model for the assessment of wind power density, using the wind speed data acquired at an international airport. The data were adjusted for the height at which wind power could be harvested. Wind speed data were fitted with several statistical distributions in order to determine the one that best fits the data. It is shown that the Weibull distribution does not fit this particular set of data as well as some other distributions. Fits were tested using Anderson-Darling, Kolmogorov-Smirnov and Cramér-von Mises tests as well as with P-P plot and Q-Q plot. Wind power density, wind rose and comparison between wind speeds at different seasons of the year were calculated to provide additional insight in wind behaviour at the location.
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