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For the wind energy assessment, it is important to know the probability density distribution of the wind speed in order to calculate the mean power of a wind. In this study wind data, for the period from January 2000 to December 2002, hourly records of speed and direction at Alexandria coast are analyzed as random monthly observations. Statistical methods are used for determination of best fit random distributions of wind speed and direction using statistical standard software that helps in evaluation of wind speed energy potential in a study area. In the present paper, different theoretical Probability Density Functions (PDF) have been tried to determine the appropriate models, including Weibull distribution and their parameters. The minimum wind power density at Alexandria found in July and August (2000-2002) were 20.41 and 21.34 w/m2 and the maximum was in December and January (110.81 and 123.34 w/m2). The most important distributions of the wind speed were Weibull and Dagum and the direction followed mostly the Johnson SB model.

Probability Modelling of Wind Velocity for Assessment of Wind Energy at Alexandria Coast