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Wind velocity extrapolation in Ghana by Weibull probability density function

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dc.contributor.author Acakpovi, A.
dc.contributor.author Issah, M. B.
dc.contributor.author Fifatin, F. X.
dc.contributor.author Michael, M. B.
dc.date.accessioned 2022-08-08T14:23:02Z
dc.date.available 2022-08-08T14:23:02Z
dc.date.issued 2018
dc.identifier.issn 0309524X
dc.identifier.other 10.1177/0309524X17723205
dc.identifier.uri https://journals.sagepub.com/doi/pdf/10.1177/0309524X17723205
dc.identifier.uri http://atuspace.atu.edu.gh:8080/handle/123456789/53
dc.description.abstract This article proposes a database of reliable wind velocities across the whole Ghana divided into 24 locations, based on data collected for the year 2013, although the bigger plan is to cover the period 2013–2018. For the year 2013 specifically, the proposed data were obtained through extrapolation of RETScreen data on wind velocity in Ghana, originally taken at a height of 10 m to a height of 60 m, adequate for generation using Weibull distribution function. The model led to the determination of the shape factor k and the scale factor c for all the 24 locations which subsequently led to the extrapolated wind velocity. The lowest and highest wind speeds were recorded, respectively, as 3.77 and 8.24 m/s for Wenchi and Wa locations in Ghana. The utmost relevance of this article is of national dimension to Ghana as the resulting wind velocities may be useful to undertake feasibility studies or real implementation of wind power plant. en_US
dc.language.iso en en_US
dc.publisher SAGE Publications Inc. en_US
dc.relation.ispartofseries vol;42
dc.subject extrapolation en_US
dc.subject RETScreen data en_US
dc.subject Weibull distribution en_US
dc.subject Wind velocity en_US
dc.title Wind velocity extrapolation in Ghana by Weibull probability density function en_US
dc.type Article en_US


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