A small variation in wind speed produces a significant deviation in the output capacity of the wind turbine due to the cubic bonding of these two parameters. The correct estimation of the wind resource at any location is therefore deemed to be of utmost importance. Investigations relating to the evaluation of wind resources have demonstrated considerable enthusiasm for the installation of various wind energy technology such as nano, micro, mini, medium and large-scale wind energy generation. This paper aims to assess wind energy potential using the Weibull distribution function by analyzing the wind structure in the area and determining the wind power density. The data, such as wind speed and direction, were obtained from the Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA), the meteorological station located in Puerto Princesa City. The data analysis involved determining the average wind speed, probability of wind speed, and wind direction. The most probable wind speed was 2.85 m/s, and the daily average wind speed ranges from 2 to 3 m/s. The most dominant wind direction is from the west. At 10 m height, the calculated wind power density is 51.86 W/m2 . The power density of wind is estimated to be 139.4 W/m2 at 30 m height by extrapolation, which is classified as Class 1. Using this classification, the wind energy resource potential in Puerto Princesa City is marginal and moderate as applied to utility-scale rural power applications, respectively

Keywords : Wind Distribution, Wind Energy Assessment, Wind Power Density, Wind Structure, Weibull Distribution Function.