This study proposes a temperature-based model of monthly mean daily global solar radiation on horizontal surfaces for selected cities, representing the six geopolitical zones in Nigeria. The modelling was based on linear regression theory and was computed using monthly mean daily data set for minimum and maximum ambient temperatures. The results of three statistical indicators: Mean Bias Error (MBE), Root Mean Square Error (RMSE), andt-statistic (TS), performed on the model along with practical comparison of the estimated and observed data, validate the excellent performance accuracy of the proposed model.
This work studied the effects of physical environ ment (trees and buildings) obstructions on the Lionet in Nsukka campus of the Un iversity of Nigeria. The effects of these obstructions were measured by the variation in path loss and received signal strength as functions of distance using computer simu lation and field measurement. The simulat ion results were co mpared with the field measurement results, conducted under free space condition and where the Lionet signal was obstructed by trees and buildings. The results show that trees and buildings have significant effects on the path loss and the received signal strength of the Lionet. The study therefore reco mmends that the power level of the Lionet should be imp roved for efficient performance, mo re access points should be deployed at locations where obstructions are prevalent, and Lionet should possibly migrate fro m wireless to fibre optic network.
This study proposes a multivariable model of monthly mean daily diffuse solar radiation on horizontal surfaces for three cities (Abuja, Benin City and Katsina), in Nigeria. The estimation was based on a correlation between clearance index and diffuse to global solar radiation ratio and was computed using monthly mean daily data set for global solar radiation on horizontal surfaces. The predictive efficiency of the proposed model was compared with the observed values and those believed to be universally applicable. The results suggest that the existing methods could be replaced by the developed model for a diffuse solar radiation data generation scheme.
The goal of the green-mobile technology is to attain negligible anthropogenic emissions of carbon dioxide (from the GSM base station generators), which constitute by far the largest part of the emissions of greenhouse gases, thereby making the environment much more friendly and safe. This study established the effect of altitude on the output power of wind turbine generators, and proposed a robust model to account for this effect is proposed for optimal sizing of a wind energy conversion system (WECS) for green-mobile applications. The proposed model implementation using a perfectly fitted polynomial expression derived from the manufacturer's power profile. Adjustment of the observed mean wind speed data to a 75 m lattice tower of a mobile station indicates that the proposed model can be effectively powered by mean wind speed for three different locations (Abuja, Benin City, and Katsina) in Nigeria. Analysis indicates that WECS, with its turbine is placed at an altitude of 100 m, loses approximately 1% of its output power.
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