STATISTICAL ANALYSIS OF WIND SPEED DISTRIBUTION WITH SINOP-TURKEY APPLICATION

Year 2019, Volume: 5 Issue: 4, 277 - 292, 24.06.2019

Ebru Kavak Akpınar

https://doi.org/10.18186/thermal.581773

Cited By: 1

Abstract

In this study, the wind energy
potential of the Sinop region was analyzed statistically by using the Turkish
State Meteorological Station’s hourly wind speed data between the years of
2005-2014. The two- parameter Weibull and one-parameter Rayleigh probability
distribution functions were used to determine the wind energy potential of the
region. The probability
distribution functions were derived from the cumulative function and used to
calculate the mean wind speed and the variance of the actual data. The best way
of representing the performance of the Weibull and Rayleigh distributions is to
use the statistical parameters such as the correlation coefficient (R²),
chi-square (χ²) and the root mean square error analysis (RMSE).  The results of the study showed that Sinop has a mean wind speed of 3.36
m/s with a maximum value of 4.28 m/s in February of 2011, and a minimum value
of 2.41 m/s in March of 2013, while the corresponding mean wind power density is approximately 33.31
W/m² for the whole year. In general, it was determined the wind speed
is higher during some winter and spring months, notably February and March, and
is lower during the autumn months. The Weibull distribution function was found
to be more appropriate than the Rayleigh distribution function.

Keywords

Wind Energy, Statistical Analysis of Wind Energy Potential, Weibull Distribution, Rayleigh Distribution, Sinop-Turkey

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