Statistical Analysis for Wind Energy Estimation over Gadanki, India

G. Karthick Kumar Reddy, S. Venkatramana Reddy, B. Sarojamma and T. K. Ramkumar

Review I Published August, 2015

Research Journal of Engineering and Technology  Vol. 1 (2), pp. 30-40.

 

ABSTRACT

 

The wind resource is sustainable and will be available as long as there is uneven heating from the sun on the surface of the Earth. The wind speed is extremely important for the amount of energy, a turbine can convert wind energy to electricity and is directly proportional to the cubic power of the wind speed. Wind speeds are affected by the friction against the surface of the earth. The objective of this paper is to assess statistically the wind speed distribution and to determine the wind power density (WPD) at Gadanki region using Weibull, Rayleigh and Gamma parameters. To determine the suitability of this site for wind energy generation, the mean wind speed, the shape and scale parameters of the site are estimated at 50 m height. The predicted wind values are tested with the actual wind distribution for the lowest values of χ², Root Mean Square Error (RMSE) and Power density error. Based on Weibull distribution parameters, the most probable and the maximum wind speeds are calculated to select the preferable wind turbine to the site.

Key words: Gamma Distribution, Power Density, Rayleigh Distribution, Weibull Distribution, Wind Energy, Wind Turbines.

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