Distributions of Wind Speed at Different Heights

被引：0

作者：

Mert Kantar, Yeliz ^{[1
]}

Usta, Ilhan ^{[1
]}

Arik, Ibrahim ^{[1
]}

Yenilmez, Ismail ^{[1
]}

机构：

[1] Anadolu Univ, Fac Sci, Dept Stat, Eskisehir, Turkey

来源：

2016 INTERNATIONAL CONFERENCE ON ENGINEERING & MIS (ICEMIS) | 2016年

关键词：

probability distributions; modelling; wind speed data; wind power; wind energy; WEIBULL; ENERGY; MODELS;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this study, the parameters of different distributions such as the Weibull, Rayleigh, Lognormal, Gamma and Generalized Gamma, which are used for modelling wind speed, at the different heights 10 and 30 m, have been evaluated. The monthly and annual variations of the scale parameters of the distributions and performances of the distributions for the wind speed over these different heights have been analyzed. The results have revealed that, the best distribution at 10 m also provides good fit to wind speed observation at 30 m. Moreover, it is observed from results that according to goodness-of-fit tests, the Gamma, Generalized Gamma and Weibull distributions are found to be more suitable than the other considered distributions for representing the actual wind speed data for both heights.

引用

页数：6

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