Development and comparison of local solar split models on the example of Central Europe

Elke Schlager, Gerald Feichtinger, Heimo Gursch

Publikation: Beitrag in FachzeitschriftArtikelForschungBegutachtung


Solar radiation influences many and diverse fields like energy generation, agriculture and building operation. Hence, simulation models in these fields often rely on precise information about solar radiation. Measurements are often restricted to global irradiance, whereby measurements of its single components, direct and diffuse irradiance, are sparse. However, information on both, the direct and diffuse irradiance, is necessary for simulation models to work reliably. In this study, solar separation models are developed using 10-min training data from two different locations in Austria. Direct horizontal irradiance is predicted via regressing the direct fraction using several objective functions. The models are first trained on a data set including data from both locations, and evaluated regarding root mean squared deviation (RMSD), mean bias deviation (MBD), and coefficient of determination (R2) on measured and estimated direct normal irradiance. The two best performing models are then selected for further analysis. This analysis comprises of an evaluation of the models per season, transferability of trained modes between two locations in Austria, a transferability and generalisability study conducted for four more locations in Central Europe, and a comparison with the trusted Engerer model. The solar separation model with polynomial terms up to order three and Ridge regularisation outperforms the second model based a logistic term in combination with mixed quadratic terms as well as the Engerer model.
FachzeitschriftEnergy and AI
Frühes Online-Datum15 Dez. 2022
PublikationsstatusVeröffentlicht - Apr. 2023
Extern publiziertJa

Bibliographische Notiz

Funding Information:
This work is part of the CLARUS project (No. 101070076 ) funded by the European Commission, and the COMFORT project (No. 867533 ) funded by the Austrian Research Promotion Agency (FFG) .

Funding Information:
The Know-Center is funded within the Austrian COMET Program—Competence Centers for Excellent Technologies—under the auspices of the Austrian Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK) , the Austrian Federal Ministry for Digital and Economic Affairs (BMDW) and by the State of Styria . COMET is managed by the Austrian Research Promotion Agency FFG .

Publisher Copyright:
© 2022 The Author(s)

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