Statistical analysis and Hurst parameter estimation for wind speed in Kirklareli area of Turkey

Abstract

ln this study, a wind speed data of the Klrklareli region of Turkey is considered and Hurst parameter is calculated for this data. For this purpose at first statistical parameters of the wind speed data are calculated. And, as a result of this analysis it is determined as a non-gaussian distribution. After that, it is shown as Weibull distribution and its statistical parameters are computed. The Hurst parameter is a special indicator to present the long range dependency and self-similarity. According to the results of this analysis, it can be determined as 0.256 and it is used as an indicator of long range dependency as weil as its fractal dimension. In this manner, this is an original study to this field as weil as the statistical analysis. As a one of the most important results, the finding of this study shows that the wind speed data has an autocorrelation function hyperbolically.

Análisis energético de un aerogenerador con diferentes grados de inclinación del aspa usando integral numérica

“…La generación eólica juega un rol muy importante para la red eléctrica, pero tiene el inconveniente de que no siempre se puede garantizar el flujo constante o suficiente de suministro de viento, debido a que se deben consideran diversas variables ambientales para poder predecir el clima (Akinci, 2013). Bakker muestra que estimar las tendencias de las velocidades del viento para aumentar el rendimiento de los aerogeneradores es un proceso complejo (Bakker, 2012).…”