Wind speed analysis using Weibull and lower upper truncated Weibull distribution in Bangladesh

Wind speed (WS) is the most important factor for modeling wind energy. WSs below a lower truncation point are usually not able to generate energy. Conversely, WSs higher than the upper truncation point may damage wind turbines. Moreover, the presence of missing values in WS data may hamper the analy...

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Bibliographic Details
Published inEnergy reports Vol. 11; pp. 5456 - 5465
Main Authors Jahan, Saima, Masseran, Nurulkamal, Zin, Wan
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.06.2024
Subjects
Lower–upper-truncated Weibull distribution
Maximum likelihood method
Weibull distribution
Wind speed
Wind speed
Weibull distribution
Maximum likelihood method
Lower–upper-truncated Weibull distribution
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Summary:Wind speed (WS) is the most important factor for modeling wind energy. WSs below a lower truncation point are usually not able to generate energy. Conversely, WSs higher than the upper truncation point may damage wind turbines. Moreover, the presence of missing values in WS data may hamper the analysis results of WS estimates. This study used the mean imputation and linear regression methods for estimating missing values and aimed to analyze the characteristics of WS data in Bangladesh using the Weibull distribution and the lower–upper-truncated Weibull distribution (TWD). The maximum likelihood method was used to determine the Weibull and truncated Weibull parameters. Our data revealed that TWD showed better performance than WD in terms of root mean square error (RMSE) and KolmogorovSmirnov (KS) in WS distribution estimation. Lower–upper-TWD can be used in the assessment of wind energy potential.
ISSN:2352-4847
2352-4847
DOI:10.1016/j.egyr.2024.05.029