Open AccessProspects of Wind Energy for Power Generation in University of Benin
Publication year - 2016
Publication title -
international journal of thermal and environmental engineering
Language(s) - English
Resource type - Journals
ISSN - 1923-7316
DOI - 10.5383/ijtee.13.01.005
Subject(s) - weibull distribution , wind speed , wind power , environmental science , renewable energy , meteorology , wind profile power law , atmospheric sciences , statistics , mathematics , engineering , geography , physics , electrical engineering
Wind is a renewable energy resource by nature. It is clean, abundant, inexhaustible and environmentally friendly. Essentially, this study investigated the prospects of wind energy for power generation in University of Benin. Wind data from Jan 31st – Dec 31st 2013 (at 10m height) was collected from National Centre for Energy and Environment, University of Benin. Accordingly, the annual and monthly wind speed and density are estimated using the 2- parameter Weibull probability density function. From the analysis, results obtained shows that the highest mean wind speed of 1.975m/s occurred in March and the lowest monthly mean speed of 0.977m/s occurred in November. Also, the annual mean wind speed is 1.496m/s while the annual mean power density based on Weibull distribution function is 2.692W/m2 . Further results shows that the mean annual most probable wind speed and wind speed carrying maximum energy are 1.535m/s and 1.761m/s respectively. Thus, it is recommended that the institution can tap on the available wind power potential to augment its power supply.