Sharma, C. and Chadee, J. (2000) Wind as a Reliable Source for Electricity Generation. The Trinidad & Tobago Perspective. World Renewable Energy Congress VI (WREC), Brighton, UK, 1-7 July 2000, 1221-1224.
https://doi.org/10.1016/B978-008043865-8/50253-1

has been cited by the following article:

• TITLE: Investigations into Some Simple Expressions of the Gamma Function in Wind Power Theoretical Estimate by the Weibull Distribution

  AUTHORS: Siaka Touré

  KEYWORDS: Gamma Function, Weibull Distribution, Beta Function, Mean Wind Speed, Average Wind Power Density

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.7 No.12, December 9, 2019

  ABSTRACT: The Weibull distribution is a probability density function (PDF) which is widely used in the study of meteorological data. The statistical analysis of the wind speed v by using the Weibull distribution leads to the estimate of the mean wind speed , the variance of v around and the mean power density in the wind. The gamma function Γ is involved in those calculations, particularly Γ (1+1/k), Γ (1+2/k) and Γ (1+3/k). The paper reports the use of the Weibull PDF f(v) to estimate the gamma function. The study was performed by looking for the wind speeds related to the maximum values of f(v), v2 f(v) and v3 f(v). As a result, some approximate relationships were obtained for Γ (1+1/k), Γ (1+2/k) and Γ (1+3/k), that use some fitting polynomial functions. Very good agreements were found between the exact and the estimated values of Γ (1+n/k) that can be used for the estimation of the mean wind speed , the variance σ2 of the wind speed v; around the mean speed and the average wind power density.