Sanusi, Yekinni K. and Ojeniyi, Adegoke and Adedokun, O. (2015) Modelling of global solar radiation using a simple atmospheric parameters for a tropical area. In: International Conference on Sustainable Energy & Environmental Sciences (SEES), 09-10 February 2015, Singapore.

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Abstract

The knowledge and estimation of solar radiation are very important in utilization of solar energy at any particular location especially when there is lack of measuring.In this study, meteorological parameters were used to model global solar radiation for solar energy applications.This was done by developing a number of regression equations for predicting daily/monthly solar radiation in Ogbomoso.Ogbomoso is a tropical area in the western part of Nigeria with Latitude 8.3" and logitude 4.2'E.The regression equations were obtained by modifying an existing Angstron equation as the base.The performance of these correlated models as global solar radiation estimators were evaluated by comparing the predicted values with the measured ones.Different statistical analyses were employed to examine the mathematical models.From the results, it is deduced that all the fits were consistent with the measurement but the quadratic model appeared to be the best of all the models which produced R2 of 95.3% the power model had the least R2 of 83.7%.The quadratic model proposed was compared with some existing quadratic models for some tropical stations and it was observed that the proposed quadratic models for some tropical stations and it was observed that the proposed quadratic equation KTP = 0.461+0.039T-0.001T2 is well correlated for the study area.Hence, the proposed model can be employed in designing of any solar energy applications in the study area and recommend for any other areas having similar characteristics with the area of study.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISSN: 2251-189X
Uncontrolled Keywords:	Meteorology,Solar Energy, Global Radiation, Regression Equation, Tropical Station, Nigeria.
Subjects:	Q Science > Q Science (General)
Divisions:	School of Technology Management & Logistics
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	21 Feb 2016 07:14
Last Modified:	28 Apr 2016 00:11
URI:	https://repo.uum.edu.my/id/eprint/17186

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