Abstract:
The study was used to develop a model that can be employed to carry out a pre-assessment study of a potential site for wind farm establishment. It made use of 21 years (1987-2007) monthly mean wind speeds from 11 stations spread across the South-West geopolitical zone of Nigeria. The data were assessed from the nation’s meteorological department, Oshodi Lagos. These were then statistically analyzed to develop a model that could predict the likelihood of a site’s capacity for wind farm development. The model could also serve as a pointer to predicting the likely range of wind energy magnitude that can be generated from a site. Further to this, the results obtained from employing the model were compared with those obtained from the well established 2-parameter Weibull statistics and found to be good enough. Thus the model, if employed can serve as a first stop for wind energy investor to make decision on a potential site before comprehensive site assessment study is embarked upon.
Oluseyi O. Ajayi, R.O. Fagbenle, J. Katende, O.A. Omotosho and Samson Aasa, 2012. Analytical Predictive Model for Wind Energy Potential Estimation: A Model for Pre-assessment Study. Journal of Applied Sciences, 12: 450-458.
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