Statistical analysis of Wind Characteristic and Wind Energy Potential Based on Weibull Distribution in Bingol Province, Turkey

Abstract

In this study, the statistical analysis of wind energy density and wind speed distribution parameters in Bingol province was examined using hourly wind speed data measured by the General Directorate of Meteorology between 2014 and 2017. Weibull distribution was used for statistical modeling and k and c parameters were calculated for 10 m and 30 m height. According to statistical criteria, in the wind data analysis of Bingol province, it was determined that the months with the highest potential in terms of mean wind speed and wind power densities are March, April and May. In the months when mean wind speeds are the highest, the dominant wind direction is south. As a result, it is concluded that since the average monthly and annual power densities in Bingol province are about 100 W/m2. It is determined that the wind potential of the region can be used for small scale off-grid wind applications. The fact that the average speed is mostly higher than 4 m/s for 30 m hub height has shown that electrical energy generation from wind energy is promising.

Keywords

• Renewable energy
• Wind Characteristic
• Wind Energy Potential
• Weibull Distribution
• Wind frequency distribution

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