Abstract

The dynamics of 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 wind velocities of various locations using Weibull model. However, they did not check the validity of the model in describing the range of extreme wind velocity, which is not clear from the usual graphical representation. In this work, the validity of Weibull model for describing parent as well as extreme hourly mean wind velocity data for four places on the east coast of India has been checked; Weibull model has been found to become inappropriate for describing wind velocity in the range of extremes.

Highlights

  • In recent years, modeling wind velocities by appropriate probability distributions has found great importance in many practical applications which include air pollution modeling, the analysis of wind loading to structures and determination of wind power potential (Zaharim et al, 2009) [1]

  • An appropriate probability distribution is required for wind velocity data analysis

  • The number of stress cycles which are expected in the service life of the structure can be determined from the probable annual number of hours in the critical wind velocity range

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Summary

Introduction

In recent years, modeling wind velocities by appropriate probability distributions has found great importance in many practical applications which include air pollution modeling, the analysis of wind loading to structures and determination of wind power potential (Zaharim et al, 2009) [1]. In line with this work, Chang (2011) [20] and Costa Rocha et al (2012) [21] compared six methods (the method of moment, empirical method, least-square method, maximum likelihood method, modified maximum likelihood method and energy pattern factor method) for determining Weibull parameters Both studies used the same incorrect definition regarding the cumulative distribution function, as mentioned by Cook (2001) [22]. If Weibull model is inappropriate to describe the extremes, the limiting velocity up to which it can be considered appropriate must be determined In this case, it is necessary to determine the best theoretical estimator to fit wind data beyond this threshold value.

Wind Velocity Data
Wind Speed Data Modeling Using Weibull Distribution
Conclusions
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