حساب معاملات ويبل باستخدام خمسة طرق رقمية لتقدير ودراسة توزيع سرعة الرياح في القدس الشرقية, فلسطين
علي جواد مناصرة
Ali Jawad Manasrah
Wind power offers a feasible and clean solution to generate electricity. The development of wind power applications requires a deep analysis of wind speed data and an accurate wind energy potential at a site. This work explores wind speed distribution to estimate the two Weibull parameters methods that are widely utilized for modeling and providing an accurate and efficient estimation of wind resource and power. The shape and scale parameters are calculated based on measured daily wind speed data from 2008 to 2018, collected in Jerusalem, Palestine. Five methods were selected to estimate shape and scale values: Empirical Method (EM), Method of Moment (MoM), Energy Pattern Factor Method (EPFM), Maximum Likelihood Method (MLM), and Modified Maximum Likelihood Methods (MMMLM). Three assessment criteria were used to assess the goodness of fit; these are Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and Chi-Square. The findings revealed that of the five methods, EM followed by the MoM were the most accurate and efficient methods to determine the values of the Weibull shape and scale parameters to approximate wind speed distribution at this site based on the goodness of fit tests. The statistical performance tests rejected the EPFM as an adequate and precise method.