Open AccessStatistical wind speed studies and wind energy potential resource analysis of abong mbang, Cameroon: a case study
Author(s) -
David Yemélé,
Bawe Gerard Nfor,
Talla Pierre Kisito,
Ghogomu Patrick Ndinakie
Publication year - 2015
Publication title -
international journal of basic and applied sciences
Language(s) - English
Resource type - Journals
ISSN - 2227-5053
DOI - 10.14419/ijbas.v4i4.5198
Subject(s) - wind power , wind speed , resource (disambiguation) , statistical analysis , wind resource assessment , environmental science , meteorology , statistics , computer science , geography , wind direction , mathematics , biology , ecology , computer network
Accurate analysis of wind characteristics for a particular site is the first step towards wind energy resource installation. In this study, the onus is to determine the wind energy potential characteristics, and the best representative probability density function, for the Abong Mbang weather station and its immediate environ. The Chi square, coefficient of determination and root mean square error were used as the discriminating goodness of fit tests. Results show that the gamma distribution is the best representative of the wind speed regime, closely followed by the Weibull distribution. We equally study the feasibility of the installation of wind turbine systems at this site based on the Weibull and the Rayleigh models. It is observed that Abong Mbang is characterized by very low wind speeds, higher shape parameters than the scale parameters and consequently very low power density values. Abong Mbang is not technically feasible for the installation of small wind turbine.