Wind power potential assessment and Weibull parameter evaluation using different statistical methods: A case study of Trebević, Bosnia and Herzegovina

This study analyzes the wind power potential in the Trebević area using ten-minute wind velocity data from 2021.The wind potential was assessed through the two-parameter Weibull distribution, with the main objective of evaluating the impact of different parameter estimation methods on the accuracy of wind resource assessment. Nine numerical methods were applied to estimate the Weibull parameters at two heights: 15 m (data collection height) and 100 m (typical wind turbine hub height). The analysis revealed notable variations in the calculated Weibull parameters depending on the applied method, confirming that the choice of estimation technique significantly influences the predicted wind power density. The performance of each method was evaluated using several statistical indicators. The hybrid and energy pattern factor methods showed the best agreement with measured data, whereas the EMM and GM methods were identified as the least accurate. Sensitivity analysis indicated that a bin width of 1.0 m/s yields the most consistent and statistically reliable results. To complement the technical assessment, an economic analysis based on the Levelized Cost of Energy (LCOE) approach was conducted to evaluate the financial feasibility of wind power generation at the site. The results confirmed that the most accurate estimation methods also produced the most favorable economic indicators, highlighting Trebević as a promising location for future wind energy development.