Calibration of simple clear-sky irradiance model coefficients across six climatic zones of South Africa

Résumé

This study applies a data-driven methodology to calibrate the coefficients of simple clear sky (CS) irradiance models for global horizontal irradiance (), diffuse horizontal irradiance () and direct normal irradiance () in South Africa. One-minute , and observations from 14 irradiance monitoring stations, representing six distinct climatological zones, were used to evaluate both established and newly calibrated CS models. CS periods were identified using CLAAS-2 SEVIRI cloud data in combination with the Reno algorithm. A total of 31 , 20 and 20 established models, together with newly optimised models, were assessed using standard statistical metrics and mean linear ranking. Results show that the optimised site-specific and climate-zone-based CS models consistently outperform existing models across the study area for , and . The proposed models provide a simpler and more effective approach for generating real-time CS irradiance data, requiring only basic geographical inputs (latitude, longitude, and altitude) and a limited number of derived parameters. These models are recommended for application in South Africa and in regions with similar climatic conditions. While direct transferability to other regions may be limited, the underlying data-driven calibration methodology is broadly applicable to any geographical location.

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