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.
Birincil Dil | İngilizce |
---|---|
Konular | Makine Mühendisliği |
Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 30 Haziran 2019 |
Yayımlandığı Sayı | Yıl 2019 Cilt: 9 Sayı: 1 |
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