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In order to assess the wind characteristics of a specified region, a pre-analysis of the region can be made with different numerical methods. The main goal of this study is to perform a detailed analysis of the data obtained from the wind measurement sensors on a meteorological mast with a height of 80 m in order to determine the wind characteristics and wind energy potential of a region in Osmaniye, Turkey. To evaluate the distribution of these wind data, the suitability of the two-parameter Weibull distribution, which is the most popular probability distribution model, was investigated. In the precise determination of the Weibull distribution parameters (k&c), the suitability of eight different numerical methods, namely Graphical (GM), Empirical of Justus (EMJ), Empirical of Lysen (EML), Power Density (PDM), Moment (MoM), Maximum likelihood (MLM), Modified maximum likelihood (MMLM), and Alternative maximum likelihood (AMLM) methods, were examined. Root mean square error (RMSE), chi-square (X2), and analysis of variance (R2) were used to compare and verify the performance of these models. Comparing with the actual measured data, the best and worst performances in these eight different methods were respectively MMLM and GM. Also, wind power density considering these methods and prevailing wind directions were calculated. |
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