Assessment of wind energy potential for power generation using two parameters weibull probability distribution

Abstract

In spite of ample wind energy potential, India lags to harvest its available wind newlineresource completely due to inconsistent wind resource assessment at various places. newlineThe assessment of wind resource is decisive step to forecast the available wind power newlinefor electricity generation at a specified altitude. Based on the author s investigation, a newlinelarge fraction of countries does not conduct wind resource assessment sufficiently, newlineand therefore, this results in the inability to harvest the available wind energy resource. newlineWind resource assessment is the longest and a pivotal step in most wind projects, and newlineit determines the future of a wind energy project This study is aimed at investigating newlinethe wind potential for electricity generation using universally accepted two parameters newlineWeibull technique of different cities of Indian states which include Bihar, Jharkhand, newlineWest Bengal, Andhra Pradesh, Madhya Pradesh, Orissa, Kerala, and Gujrat. newlineMoreover, four metro and seven capital cities of eastern India are also investigated to newlineevaluate the wind energy potential for power generation. The statistical technique was newlineused to calculate shape (K) and scale (C) parameter of Weibull distribution by means newlineof monthly wind data set of 22 years duration at an altitude of 10 m from ground. The newlineWeibull parameters (K and C) were used to evaluate the wind power density (WPD) newlineof all the cities under consideration. On the basis of the evaluated magnitude of wind newlinepower density (WPD), a site is considered as very good for wind-to-electricity newlinegeneration if it has a value greater than 700 W/m2 newline, good if it lies between 300 and 700 newlineW/m2 newline, fairly good if it lies between 100 and 300 W/m2 newline, and poor if it lies below 100 newlineW/m2 newline.