A study on data accuracy by comparing between the Weibull and Rayleigh distribution function to forecast the wind energy potential for several locations of Bangladesh

Abstract

This paper focuses the behaviour of wind speed pattern in some selected locations of Bangladesh in order to forecast the wind energy potential of Bangladesh. In our study, the wind speed data for Cox's Bazar, Kuakata, Swandip, Hatiya and Sydpur between 2004 and 2007 have collected from several organizations i.e. Bangladesh Meteorological Department (BMD), Local Government Engineering Development (LGED) and Infrastructure Development Company Ltd (IDCOL) and processed on daily, monthly and hourly basis. The data have been examined by Weibull distribution function using Weibull Graphical method in order to find the shape parameter (k) and scale parameter (c) and thus compared between the Weibull and Rayleigh distribution functions to deduce the wind availability of the selected locations. Moreover, statistically Correlation Coefficient (R2), Root Mean Square Error (RMSE), and Coefficient of Efficiency (COE) methods have also employed based on the data in order to evaluate the performance of the Weibull probability density function.