Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/1822
Title: An evaluation of the performances and subsequent calibration of three solar radiation estimation models for semi arid climates in Midlands Zimbabwe
Authors: Zirebwa, F.S.
Kapenzi, A,
Makuvaro, V.
Sammie, B.
Madanzi, Tendai
Keywords: Solar radiation, Bristow – Campbell, Donatelli – Campbell, Hargreaves, Model Evaluation
Issue Date: 2015
Publisher: Midlands State University
Series/Report no.: Midlands State University Journal of Science, Agriculture and Technology;Special edition; p. 44-55
Abstract: The Hargreaves, Bristow – Campbell (B­C) and Donatelli – Campbell (C­D) solar radiation estimation models were evaluated to establish their performances in the semi arid climate of Midlands Zimbabwe. The models were also calibrated to attain the site specific empirical coefficients so as to improve in terms of prediction accuracy. To achieve this evaluation, daily incoming solar radiation, minimum temperature and maximum temperature were measured for a year (July 2013 to June 2014) at two sites (Mlezu and Mvuma) in Midlands Zimbabwe. The temperatures were used to calculate daily solar radiation for the Hargreaves, B­C and C­D models. The measured solar radiation at both sites was used to evaluate the performances of the models using the Mean Absolute Prediction error (Err), Model Efficiency (EF), Root Mean Square Error (RMSE), Bias and coefficient of determination (R2). All models were calibrated using linear regression equations. The B­C model performed better than the other models overall. The least performer was the C­D model. The B­C model had the lowest Err (17.85 % and 16.31 %), RMSE (3.725 MJm­2day­1 and 3.486 MJm­2day­1) and Bias (2.501 MJm­2day­1 and 1.281 MJm­2day­1) values at both sites. The Hargreaves and C­D models’ performances were almost similar at both sites. The Bias levels were between 3 MJm­2day­1 and 4 MJm­2day­1, and the RMSE values were slightly above 4 MJm­2day­1. The EFs of all the models were acceptable since they were > 0. Calibration improved the performances of all the models. The EF values of all the models ranged between 0.55 and 0.7, the Err reduced to between 11 % and 16 % and the Bias was reduced to < 0.5 MJ m­2 day­1 for the Hargreaves and B­C models. The Bias was however still higher for the C­D model (~ 2 MJ m­2 day­1). The average site specific “K” coefficient of the Hargreaves model, the “a” coefficient of the B­C model and the CD_b coefficient of the C­D model were found to be 0.1361, 6.274 and 0.1895. Solar radiation estimation models are supposed to be calibrated before use for improved prediction accuracy.
URI: http://hdl.handle.net/11408/1822
Appears in Collections:Research Papers

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