Analysis of the upper-truncated Weibull distribution for wind speed

Kantar Y. M., USTA İ.

Energy Conversion and Management, vol.96, pp.81-88, 2015 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 96
  • Publication Date: 2015
  • Doi Number: 10.1016/j.enconman.2015.02.063
  • Journal Name: Energy Conversion and Management
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.81-88
  • Keywords: Wind speed, Weibull distribution, Upper-truncated Weibull distribution, Truncation point, Wind power, Model selection criteria, PROBABILITY-DISTRIBUTION, DISTRIBUTION MODELS, ENERGY ANALYSIS, PARAMETERS, REGION, STATISTICS, ELAZIG
  • Anadolu University Affiliated: Yes


© 2015 Elsevier Ltd. All rights reserved.Accurately modeling wind speed is critical in estimating the wind energy potential of a certain region. In order to model wind speed data smoothly, several statistical distributions have been studied. Truncated distributions are defined as a conditional distribution that results from restricting the domain of statistical distribution and they also cover base distribution. This paper proposes, for the first time, the use of upper-truncated Weibull distribution, in modeling wind speed data and also in estimating wind power density. In addition, a comparison is made between upper-truncated Weibull distribution and well known Weibull distribution using wind speed data measured in various regions of Turkey. The obtained results indicate that upper-truncated Weibull distribution shows better performance than Weibull distribution in estimating wind speed distribution and wind power. Therefore, upper-truncated Weibull distribution can be an alternative for use in the assessment of wind energy potential.