DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
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Issue |
Volume-4, Issue-4 ( Oct, 2016 ) | |||||||||
Paper Title |
Variation and Assessment of Wind Energy Potential at Abeokuta, Nigeria Based on Weibull Distribution | |||||||||
Author Name |
Sodunke M.A, Adewale A.O, Alabi A.A, Mabosanyinje A | |||||||||
Affilition |
Physics/Electronics unit, Department of SLT, Moshood Abiola Polytechnic, Ogun State , Nigeria. Department of Physics, University of Agriculture, Abeokuta, Ogun State , Nigeria. Department of Statistics and Mathematics , Moshood Abiola Polytechnic, Ogun State , Nigeria. | |||||||||
Pages |
29-36 | |||||||||
Abstract |
In this study , a statistical analysis of wind speed was carried out at Abeokuta station in Nigeria, by finding the coefficient of variations and using Weibull distribution for a 10 year wind data .The data was analyzed and the results showed that the Coefficient of Variation(CV) for a 10 year wind speed data range from 18.35% to 51.95% .These values exceeded the variability threshold of 10% indicating that they exhibit significant variability. The shape factor and scale factor, which are the parameters of the Weibull distribution ,the mean wind speed, probability density function and their cumulative distribution were determined for all the years .The results of the analysis indicated that the city exhibits a low wind since the probability density function falls between 22.0 w/m2 and 160.9w/m2 of wind power class one and wind power class three respectively .The energy could be efficiently utilized to generate electricity if the turbine is erected and installed properly. The wind speeds regimes for a 10 year wind data analyzed showed power density ranging between 22.0 w/m2 and 160.9w/m2. Ultimately, the results of this study shows that Abeokuta is a low wind region. However, the low wind values that characterize Abeokuta could be effectively utilized as long as the turbines’ heights are in between 50 meters and 1500 meters respectively. Keywords- Coefficient of variation, Weibull distribution, Probability density function, Cumulative distribution function, Scale factor, Shape factor. | |||||||||
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