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Weibull and Generalized Extreme Value Distributions for Wind Speed Data Analysis of Some Locations in India
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Weibull and Generalized Extreme Value Distributions for Wind Speed Data Analysis of Some Locations in India
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Journal Article
Weibull and Generalized Extreme Value Distributions for Wind Speed Data Analysis of Some Locations in India
2019
Overview
Wind velocity data modeling plays a crucial role for the estimation of wind load and wind energy. Apart from these, the same modeling must also be used in the load cycle analysis of fatigue failure in slender structures to address periodic vortex shedding. Most authors fitted the entire available range of wind velocities of various locations using Weibull models. However, they did not check the validity of the model in describing the range of extreme wind velocity. In this work, the validity of Weibull models for describing parent as well as extreme hourly mean wind velocity data for four places on the east coast of India has been checked. While it predicts lower wind speeds accurately, the Weibull model has been found to become inappropriate for describing wind velocity in the range of extremes, i.e., above a certain threshold value. Therefore, this article focuses on the techniques of determining a limiting wind velocity beyond which the Weibull distribution is rendered unsuitable. In the range where the Weibull distribution fails, various extreme value distributions, such as Gumbel, Fréchet and reverse Weibull distributions have been compared, thereby determining the best estimator for each location.
Publisher
Korean Society of Civil Engineers,Springer Nature B.V,대한토목학회
