Analysis of wind speed data and wind energy potential in Faya-Largeau, Chad, using Weibull distribution

M.H. Soulouknga, S.Y. Doka, N.Revanna,, N.Djongyang, and T.C.Kofane,

Renewable Energy, 2018, vol. 121, issue C, 1-8

Abstract: In this work, we aimed at analyzing the wind speed of Faya-Largeau and making decisions of the cost effective wind turbine for the said zone. The characteristics of the wind speed and the energy potential of Faya-Largeau in the Saharan zone of Chad were studied using monthly wind speed data collected over eighteen years (1960–1978) and measured at 10 m height. In order to determine the wind power density and the available energy for the Faya-Largeau site in the Saharan zone of Chad, the Weibull probability density function was used. Thus, the annual values of the Weibull parameters k and c are respectively 3.75 and 3.60 (m/s), whereas the power density and available energy are respectively 343.31 W/m2 and 249.87 kWh/m2. Three commercial wind turbine models were used. Based on the capacity factor, the 1.MW/54 Bonus model is cost-effective for the Faya-Largeau site and could be strongly recommended for installation.

Keywords: Mean wind speed; Weibull distribution; Wind energy potential; Faya-Largeau; Chad (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:121:y:2018:i:c:p:1-8

DOI: 10.1016/j.renene.2018.01.002

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