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

Elke Schlager, Gerald Feichtinger, Heimo Gursch

Research output: Contribution to journalArticleResearchpeer-review

Abstract

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.
Original languageEnglish
Article number100226
Number of pages13
JournalEnergy and AI
Volume12.2023
Issue numberApril
Early online date15 Dec 2022
DOIs
Publication statusPublished - Apr 2023
Externally publishedYes

Bibliographical note

Publisher Copyright: © 2022 The Author(s)

Keywords

  • Solar irradiance
  • Direct normal irradiance
  • Solar separation model
  • Solar regression
  • Solar model transferability
  • Seasonality

Cite this