Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/576
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dc.contributor.authorMamman, Rabiu Onoruoiza-
dc.contributor.authorOyewole, Adedipe-
dc.contributor.authorLawal, Sunday Albert ,-
dc.contributor.authorAyodeji Olugboji, Ayodeji Olugboji-
dc.contributor.authorNwachukwu, Victor Chiagozie-
dc.date.accessioned2021-05-31T19:38:40Z-
dc.date.available2021-05-31T19:38:40Z-
dc.date.issued2021-
dc.identifier.otherDOI: 10.1080/20421338.2021.1899760-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/576-
dc.description.abstractThe rise in the global carbon footprint arising from fossil fuel sources has necessitated the need to explore sustainable and eco-friendly sources of energy. Wind as a source of renewable energy has been underutilized in Nigeria and this study is focused on investigating the wind energy potential in three offshore regions of Nigeria. Three statistical models namely, Weibull, Rayleigh and Exponential distribution were used to analyze the daily time series wind data for the offshore regions in Lagos (VI), Rivers (Abonemma) and Warri (Koko). This was done for a 10-year period between the year 2002–2011. The annual mean wind speeds for Lagos (VI), Rivers (Abonemma) and Warri (Koko) were determined to be 6.25, 7.32 and 7.29 m/s, respectively. The annual mean wind power densities were determined to be 171.47, 240.43 and 237.60 W/m2, respectively. The values of the wind speed carrying the maximum energy were determined to be 7.43, 8.37 and 8.96 m/s, respectively. It was found that the wind classes of the three locations are suitable for power generationen_US
dc.language.isoenen_US
dc.publisherAfrican Journal of Science, Technology, Innovation and Developmenten_US
dc.subjectcapacity factorsen_US
dc.subjectexponential distribution,en_US
dc.subjectRayleigh distributionen_US
dc.subjectRayleigh distribution,en_US
dc.subjectWeibull distribution,en_US
dc.subjectwind speed,en_US
dc.subjectwind power densityen_US
dc.titleAnalysis of offshore wind energy potential for power generation in three selected locations in Nigeriaen_US
dc.typeArticleen_US
Appears in Collections:Mechanical Engineering

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