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Wind characterization for renewable energy applications

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dc.contributor.author Muzathik, A.M.
dc.contributor.author Ibrahim, M. Z.
dc.contributor.author Samo, K.B.
dc.contributor.author Zailan, R.
dc.contributor.author Nik, W.B. Wan
dc.date.accessioned 2017-04-26T09:03:02Z
dc.date.available 2017-04-26T09:03:02Z
dc.date.issued 2011
dc.identifier.citation Journal of Energy & Environment, 3 (1); 12-17. en_US
dc.identifier.issn 1985-7462
dc.identifier.uri http://ir.lib.seu.ac.lk/handle/123456789/2520
dc.description.abstract This project aimed to study and estimate wind characteristics and energy potential of Kuala Terengganu. Data used in this study were collected on site from 2004 to 2007. Wind speed distribution curves were developed using the Weibull and Rayleigh probability density functions. Average Weibull shape parameter and scale parameter were found to be 1.76 and 3.21 m/s, respectively. Yearly mean wind speed in Kuala Terengganu is 2.9 m/s and monsoon season (November to March) mean wind speed is 3.9 m/s. Wind power density is lowest in southwest monsoon season, while it is highest in northeast monsoon season as 84.55 W/m2. Monthly average power density and probability of wind were found as 40.52 W/m2 and 0.50, respectively which exceed cut-in wind speed of 2.5 m/s. Normally more than 10 years of wind data is required to capture climatic variability. Further, in order to get more precise spatial wind map, there must be more presenting points. Therefore, this research may be considered as first step of renewable energy study in the research area. en_US
dc.language.iso en_US en_US
dc.publisher Universiti Tenaga Nasional en_US
dc.subject Wind characteristics en_US
dc.subject Wind energy density en_US
dc.subject Weibull function en_US
dc.subject Rayleigh function en_US
dc.title Wind characterization for renewable energy applications en_US
dc.type Article en_US


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