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 |
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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 |