Comparative Study of Ground Measured, Satellite-Derived, and Estimated Global Solar Radiation Data in NigeriaReportar como inadecuado

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Journal of Solar Energy - Volume 2016 2016, Article ID 8197389, 7 pages -

Research Article

Examination Development Department, National Examinations Council NECO, PMB 159, Minna 920211, Niger State, Nigeria

Department of Physics, Federal University of Technology, PMB 65, Minna 920211, Niger State, Nigeria

Received 12 March 2016; Revised 2 June 2016; Accepted 8 June 2016

Academic Editor: S. Silva-Martínez

Copyright © 2016 Boluwaji M. Olomiyesan and Onyedi D. Oyedum. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In this study, the performance of three global solar radiation models and the accuracy of global solar radiation data derived from three sources were compared. Twenty-two years 1984–2005 of surface meteorological data consisting of monthly mean daily sunshine duration, minimum and maximum temperatures, and global solar radiation collected from the Nigerian Meteorological NIMET Agency, Oshodi, Lagos, and the National Aeronautics Space Agency NASA for three locations in North-Western region of Nigeria were used. A new model incorporating Garcia model into Angstrom-Prescott model was proposed for estimating global radiation in Nigeria. The performances of the models used were determined by using mean bias error MBE, mean percentage error MPE, root mean square error RMSE, and coefficient of determination . Based on the statistical error indices, the proposed model was found to have the best accuracy with the least RMSE values 0.376 for Sokoto, 0.463 for Kaduna, and 0.449 for Kano and highest coefficient of determination, values of 0.922, 0.938, and 0.961 for Sokoto, Kano, and Kaduna, respectively. Also, the comparative study result indicates that the estimated global radiation from the proposed model has a better error range and fits the ground measured data better than the satellite-derived data.

Autor: Boluwaji M. Olomiyesan and Onyedi D. Oyedum



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