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Wind and Structures Volume 21, Number 2, August 2015 , pages 203-221 DOI: https://doi.org/10.12989/was.2015.21.2.203 |
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Estimation of weibull parameters for wind energy application in Iran |
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Majid Sedghi, Siamak K. Hannani and Mehrdad Boroushaki
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| Abstract | ||
| Wind speed is the most important parameter in the design and study of wind energy conversion systems. The weibull distribution is commonly used for wind energy analysis as it can represent the wind variations with an acceptable level of accuracy. In this study, the wind data for 11 cities in Iran have been analysed over a period of one year. The Goodness of fit test is used for testing data fit to weibull distribution. The results show that this data fit to weibull function very well. The scale and shape factors are two parameters of the weibull distribution that depend on the area under study. The kinds of numerical methods commonly used for estimating weibull parameters are reviewed. Their performance for the cities under study was compared according to root mean square and wind energy errors. The result of the study reveals the empirical, modified maximum likelihood estimate of wind speed with minimum error. Also, that the moment and modified maximum likelihood are the best methods for estimating the energy production of wind turbines. | ||
| Key Words | ||
| weibull distribution; numerical methods; Iran | ||
| Address | ||
| Majid Sedghi: Department of Mechanical Engineering, Isfahan University of Technology, Isfahan, Iran Siamak K. Hannani: School of Mechanical Engineering, Sharif University of Technology, Tehran, Iran Mehrdad Boroushaki: Department of Energy Engineering, Sharif University of Technology, Tehran, Iran | ||