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Wind energy is a promising sector in the power generation industry because it is renewable and globally available. This study assessed the wind power potential and the economic viability of utilizing wind turbines at the chosen location to produce electricity. This work uses wind speed data collected during (2012–2014) at 10 m height. This research presents the maximum and mean values of measured wind speeds. We have analyzed annual, seasonal, and monthly variations of wind speed. The wind characteristics and wind power potential of the study site have been investigated using Weibull and Rayleigh distribution functions. The annual mean wind speed and Weibull parameters (shape and scale) have been determined to be 4. 477 m/s, 2. 494, and 5. 046 m/s, respectively, according to the actual data collected over the three years. The annual mean power density and energy density have been computed to be 86. 39 W/m 2 and 757. 226 kWh/m 2 according to the actual data collected over the three years, and the predicted annual mean power density and energy density have been computed to be 86. 492 W/m 2 and 758. 358 kWh/m 2 using Weibull parameters and 164. 372 W/m 2 and 1441. 2 kWh/m 2 using Rayleigh distribution, respectively. Accordingly, the power density computed using the Weibull parameters was similar to the power density computed using real wind data, whereas the power density calculated by the Rayleigh function was higher. An economic analysis has been done to choose a suitable turbine for the study site. The results indicate that the wind turbine ZEFIR D14-Px-Ty is indeed a viable option for wind power generation in Al-Hodeidah. It has a relatively low cost of energy of 0. 03/kWh and a high capacity factor of 0. 428, indicating its efficiency in converting wind energy into electricity. Therefore, the selected location is recommended for some small stand-alone systems as well as small wind farms.
Hasan et al. (Fri,) studied this question.