%0 Journal Article
%T Analytical Predictive Model for Wind Energy Potential Estimation: A Model for Pre-assessment Study
%A Oluseyi O. Ajayi
%A R.O. Fagbenle
%A J. Katende
%A O.A. Omotosho
%J Journal of Applied Sciences
%D 2012
%I Asian Network for Scientific Information
%X 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.
%K wind power and energy
%K Nigeria
%K Weibull
%K modelling
%U http://docsdrive.com/pdfs/ansinet/jas/2012/450-458.pdf