Determination of feasibility analysis of wind turbines using weibull parameter for chad / Marcel Hamda Souloukngaa & Hasan Huseyin Coban

Souloukngaa, Marcel Hamda and Coban2, Hasan Huseyin (2022) Determination of feasibility analysis of wind turbines using weibull parameter for chad / Marcel Hamda Souloukngaa & Hasan Huseyin Coban. Journal of Smart Science and Technology, 2 (2): 1. pp. 1-15. ISSN 2785-924X

Abstract

Wind energy is one of the most important renewable energy sources whose technology and use have shown the fastest development and the economy has become competitive with fossil-based energy sources. To assess the potential of wind energy as a source of electricity generation, this paper uses the
Weibull probability density function for three sites. Five wind turbines are considered for the study. The standard method is used to determine the values of the Weibull parameters. The average wind speed was measured and collected at the General Directorate of National Meteorology at 10 m altitudes.
The results obtained show that the turbine capacity factor for three sites ranges from 0.03% to 6.47% (Enercon-70); 0.09% to 13.50% (Enercon-82); 0.04% to 9.27% (Nordex N90); 0.03% to 9.87% (Nordex S77) and 0.07% to 11.63% (Vestas V90-20).

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Souloukngaa, Marcel Hamda
UNSPECIFIED
Coban2, Hasan Huseyin
UNSPECIFIED
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HC Economic History and Conditions
H Social Sciences > H Social Sciences (General) > Research
Divisions: Universiti Teknologi MARA, Sarawak
Journal or Publication Title: Journal of Smart Science and Technology
UiTM Journal Collections: UiTM Journal > Journal of Smart Science and Technology (JSST)
ISSN: 2785-924X
Volume: 2
Number: 2
Page Range: pp. 1-15
Keywords: Wind turbine; Capacity factor; Power generation; Wind energy potential; Weibull and Rayleigh distributions; Feasibility study
Date: September 2022
URI: https://ir.uitm.edu.my/id/eprint/69950
Edit Item
Edit Item

Download

[thumbnail of 69950.pdf] Text
69950.pdf

Download (601kB)

ID Number

69950

Indexing

Statistic

Statistic details