Analysis of seasonal wind speed and wind power density distribution in Aimangala wind form at Chitradurga Karnataka using two parameter weibull distribution function

Modeling of wind speed variation is an essential requirement in the estimation of wind energy potential for a typical site. In this paper, the average wind from April 2007 to March 2008 in Aimangala at central dry zone part of Karnataka, India have been statistically analyzed to determine wind energy potential for electrical power generation by grouping the seasonal observations. We show that the wind speed distribution is represented by the typical two parameter weibull function for prediction of wind energy out put required for preliminary design and assessment of wind power plant. The shape and scale parameters of weibull function have been estimated seasonal basis to calculate the average wind speed and wind power density for the Aimangala station. The maximum power density was found to be 829.73 W/m
²
in monsoon season and the minimum power density was found to be 186.15 W/m
²
in winter season. The Weibull function using Weibull parameter estimated in this paper shown to provide more accurate prediction of average wind speed and average power density for the selected station. The seasonal variation of wind speed and wind density studied in this paper is useful to ensure optimum selection of wind turbine generator.