Towards Resilient Grid Integration of Wind Power: A Comparative Study of Nine Numerical Approaches Across Six Cities in Palestine

This research presents a detailed assessment of the wind power potential in six Palestinian cities: Bethlehem, Jericho, Jenin, Nablus, Ramallah, and Tulkarm, utilizing daily wind speed data from the years 2015 to 2021. The primary goal of this study is to formulate a robust, data-driven framework for the strategic placement of turbines and the economical production of energy in areas with limited wind resources. A critical aspect of this research is the application of nine numerical methods, including the Maximum Likelihood Method (MLM) and the Energy Pattern Factor Method (EPF), to analyze the wind data. These methods were employed to estimate the shape and scale parameters of the Probability Distribution Function (PDF) that represents the Weibull distribution for various shape factor values. The accuracy of the numerical methods was validated through five statistical tools, including the Root Mean Square Error (RMSE) and Chi-square tests (X^2). The Weibull parameters obtained from the numerical techniques indicated shape factors ranging from 1.27 to 1.96 and scale factors between 1.16 and 3.21 m/s. The energy output was calculated based on the swept area of the wind turbine, following Betz's limit. The estimated annual en ergy production per square meter in the six cities is as follows: Ramallah – 123.0175 kWh/m², Bethlehem – 24.42256 kWh/m², Jenin – 31.12444 kWh/m², Nablus – 21.99244 kWh/m², Tulkarm – 15.48823 kWh/m², and Jericho – 10.36153 kWh/m². A 5-kW small-scale wind turbine was utilized to evaluate the technical feasibility, sustainability, and economic viability of small-scale wind energy applications. The anticipated energy output from the proposed wind turbine is 2260 KWhr, with an estimated payback period of approximately 11 years.