A Study of Weibull Distribution to Analyze the Wind Speed at Jogimatti in India
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2014, Vol 1, Issue 2
Abstract
Wind is an available resource in nature that could be utilized by mechanically converting wind power into electricity using wind turbines. Wind energy is an indirect form of solar energy. Various probability distribution models were used for the statistical analysis of recorded wind speeds. This paper investigates the probability distributions of wind speed based on wind speed data recorded at JOGIMATTI station in INDIA. The Weibull distribution and Weibull-Weibull probability distribution function, Mixture Gamma and Weibull distribution, Mixture Normal and Weibull distribution and Maximum Endrophy distribution are adopted in this study to fit the wind speed data. It is found from the hypothesis test that Weibull distribution is more appropriate than the other distribution. This best fit probability distribution can be used to calculate the power density.A case study is given to discuss the probability analysis results
Authors and Affiliations
K. Sukkiramathi
Keywords
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