TY  - JOUR
T1  - Determination of Annual Energy Capture Potential for Wind Power System: A Case Study
AU - , J.A. Amusan AU - , Y.K. Sanusi AU - , G. R. Fajinmi 
JO  - Research Journal of Applied Sciences
VL  - 2
IS  - 9
SP  - 927
EP  - 930
PY  - 2007
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2007.927.930
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2007.927.930
KW  - Renewable energy
KW  -wind turbine
KW  -wind speed
KW  -conventional energy
KW  -power potential
KW  -digital data logger
AB  - Annual mean wind speed in Ogbomoso was calculated to be 127.517ms <SUP>1</SUP> through the monthly wind speed and direction data collected for 5 years from Nigeria Meteorological Agency (NIMET), Ilorin. The data were collected from Ilorin (Lattitude 8<SUP>0</SUP>32<SUP>1 </SUP>N and Longitude 4<SUP>0</SUP>34<SUP>1</SUP>E), which is very close to Ogbomoso (Latitude 8<SUP>0</SUP>05<SUP>1 </SUP>S and Longitude 4<SUP>0</SUP>12<SUP>1 </SUP>W). The determined annual mean wind speed was then applied in the Weibull Probability  distribution  function using c<SUP>++</SUP> Programming Language. Weibull Probability distribution of 1.3030×10<SUP>-54</SUP> at sea level is obtained which shows the wind speed variation over the period and thus indicates the probability distribution of annual mean wind speed being 127.517ms <SUP>1</SUP>. Digital Data Logger is employed to compute the power potential for wind turbine. The annual energy capture potential of 5562.69MJ is obtained for wind power system. The obtained equivalent power potential of 635.01kW is a considerable amount when compared with power consumption of 956.25kW utilized in Ladoke Akintola University of Technology, Ogbomoso. We then realize that the annual energy capture potential for a single wind turbine is 66.4% of the power consumption in LAUTECH through conventional energy source.
ER  -