Development of probability wind speed map based on frequency analysis

Abstract

This study performed a wind speed frequency analysis in order to develop a probability wind speed map. A total of 70 available stations, having a 10-min mean wind speed over a 20-year historical record were selected. Subsequently, the appropriate probability distribution and method of parameter estimation were determined. The application of the Generalized Extreme Value, Gumbel, Weibull, 2-Parameter Gamma, 3-Parameter Gamma and Log-Pearson Type III distribution were used to determine the appropriate distributions for Korea and were found to be useful for frequency analysis of extreme value. The Method of Moment and Probability Weighted Moment Method were used for the parameter estimation of the different distributions. Hence, results show that GEV distribution coupled with Probability Weighted Moment Method is the best fit for the wind speed frequency analysis in Korea. Also, from the results of a 100-year wind velocity frequency analysis, wind speed of Uljin station was calculated to be the highest at 44.8 m/s and Bonghwa station the lowest at 12.9 m/s. Lastly, probability wind speed map was also developed using inverse distance weighted method using ArcGIS.