THE EVALUATING OF WIND ENERGY POTENTIAL OF DİYARBAKIR USING WEIBUL AND RAYLEIGH DISTRIBUTION
Abstract
In comparison to fossil fuel that pollutes the lower layer of the atmosphere, wind energy is an alternative clean source of energy. Wind speed is the parameter with primary importance in designing and studying the wind energy conversion systems. In this study, the statistical analysis of the parameters of wind power density and wind speed distribution was investigated using the wind speed data of Diyarbakır province between the years 2014 and 2018 that were hourly measured by the General Directorate of Meteorology. Wind data are used to derive probability distributions, and their distributional parameters are determined. Two probability density functions are suited to the measured probability distributions on a yearly basis. The Weibull and the Rayleigh models are used to analyze the wind energy potential of the location. This modeling process was evaluated according to R2, RMSE and c2 parameters. In conclusion, the values obtained by the Weibull model gave better results than the values obtained by the Rayleigh model in the wind data analysis of Diyarbakır province.
Keywords
References
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Details
Primary Language
English
Subjects
Mechanical Engineering
Journal Section
Research Article
Authors
Fatih Koçyiğit
*
Türkiye
Publication Date
June 30, 2019
Submission Date
May 28, 2019
Acceptance Date
June 21, 2019
Published in Issue
Year 2019 Volume: 9 Number: 1
Cited By
ENERGY MANAGEMENT SOFTWARE FOR STUDENTS IN ENGINEERING EDUCATION
European Journal of Technic
https://doi.org/10.36222/ejt.843027
