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Articles by G. R. Fajinmi
Total Records ( 2 ) for G. R. Fajinmi
  D. A. Ajadi , G. R. Fajinmi and Y. K. Sanusi
  Dust is one of the limiting factors of solar thermal system in the agricultural sectors area. This paper presents the effect of dust on the performance of a solar dryer. Two similar solar dryers were constructed with the same dimensions and materials. One serves as control experiment, which was constantly cleaned up before each daily readings commenced; while the other served as the test dryer for the period of the experiment. The effect of dust on both the absorber temperature Ta and the oven temperature To, of each dryer was determined for the two experimental setups. The daily absorber temperature Ta and the oven temperature To, were recorded for a period of 25 days; for both dryers simultaneously. The daily maximum temperature of the absorber Ta and the oven temperature To, of each dryer were obtained. The results show that, the values of oven temperature of the control dryer are always higher and approximately constant in magnitudes between 42o C and 45o C compared with the oven temperature of the test dryer. While the values of the absorber temperatures of the control dryer are between 55oand 65o C. The maximum temperatures of the absorber and the oven of the test dryer were observed to fluctuate in magnitude.
  J.A. Amusan , Y.K. Sanusi and G. R. Fajinmi
  Annual mean wind speed in Ogbomoso was calculated to be 127.517ms 1 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 80321 N and Longitude 40341E), which is very close to Ogbomoso (Latitude 80051 S and Longitude 40121 W). The determined annual mean wind speed was then applied in the Weibull Probability distribution function using c++ Programming Language. Weibull Probability distribution of 1.303010-54 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 1. 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.
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