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ISSN: 2090-4541

Journal of Fundamentals of Renewable Energy and Applications
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Research Article

An Appropriate Extreme Value Distribution for the Annual Extreme Gust Winds Speed

Banafsheh Abolpour1, Bahador Abolpour2,3,4*, Hosein Bakhshi5 and Mohsen Yaghobi2

1Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Iran

2Department of Chemical Engineering, Shahid Bahonar University of Kerman, Iran

3Department of Aerospace Engineering, Payame Noor University, Iran

4Department of Computer Engineering, Payame Noor University, Iran

5Department of Civil Engineering, Hakim Sabzevari University, Iran

*Corresponding Author:
Bahador Abolpour
Department of Chemical Engineering
Faculty of Engineering, ShahidBahonar University of Kerman
Post Code 76175, Kerman, Iran
Tel: 98-711-8312254
Fax: 98-711-8203239
E-mail: [email protected]

Received Date: December 08, 2016; Accepted Date: January 23, 2017; Published Date: January 25, 2017

Citation: Abolpour B, Abolpour B, Bakhshi H, Yaghobi M (2017) An Appropriate Extreme Value Distribution for the Annual Extreme Gust Winds Speed. J Fundam Renewable Energy Appl 7: 223. doi:10.4172/20904541.1000223

Copyright: © 2017 Abolpour B, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In this study, an extreme value distribution of the gust wind speeds is obtained in a large selected area of Iran. The generalized Pareto distribution is used to find out the type of wind speed distribution. The three parameters of the generalized extreme value distribution function are reduced to either type I Gumbel, type II Frechet or type III reverse Weibull distribution function for the annual extreme gust wind speeds. It is obtained that, the annual extreme gust wind speeds at 102 stations have a reverse Weibull function distribution. It is also obtained that, type I Gumbel extreme value function is the best model for many of the studied stations.

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