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  • Turkish Journal of Physics
  • Volume:39 Issue:3
  • Evaluation of the global solar irradiance in the Vhembe district of Limpopo Province, South Africa, ...

Evaluation of the global solar irradiance in the Vhembe district of Limpopo Province, South Africa, using different theoretical models

Authors : Tshimangadzo Sophie MULAUDZI, Nnditshedzeni Eric MALUTA, Vaith SANKARAN
Pages : 264-271
View : 22 | Download : 6
Publication Date : 0000-00-00
Article Type : Research Paper
Abstract :An attempt has been made to employ three different theoretical models for the determination of global solar radiation for the climate conditions of the Vhembe district of Limpopo Province in South Africa. The models are: 1); the Angstrom linear-based model, 2); the Hargreaves and Samani insert ignore into journalissuearticles values(temperature-based); model, and 3); the Garcia model. These models require the following meteorological data inputs: temperature, sunshine hours, and global solar irradiance on the horizontal surface. The regression coefficients from our previous study were also employed in the calculations. A 4-year insert ignore into journalissuearticles values(2007--2010); global solar irradiance and temperature data set from the Agricultural Research Council and the actual sunshine data set from the South African Weather Services were used. The monthly average global solar irradiance for the four selected areas of study were computed and compared with the in situ data. The results obtained show that the Angstrom linear and temperature-based models are suitable methods for predicting the global solar irradiance in this study area. The difference between the observed and the predicted data is less than 6.5 MJ/insert ignore into journalissuearticles values(m$^{2}$ day);. Their root mean square error varies between 0.0112 and 0.0368. Graphical representations of the irradiances versus the days of the year showed high values during summer for all the models used.
Keywords : Global solar irradiance, root mean square error, sunshine hours, regression coefficients

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