In collaboration with Daniëls Smart Energy (DSE), we demonstrated that cooling solar panels increases their energy yield. By applying advanced data analysis to the performance of solar panels under different temperature conditions, they gained valuable insights.
The research shows that there is a correlation between the temperature of solar panels and their energy yield. The data analysis demonstrates that panels at a lower temperature generate more energy than panels at a higher temperature, even with identical solar irradiance.
Visualization of the prediction model. The colours represent different temperatures, but the legend has been removed for confidentiality.
By applying data science, Exante.ai developed a prediction model to calculate the potential impact of cooling solar panels. The results show that the energy yield of solar panels can increase by lowering the temperature. Yield can rise by 2.99% to 7.33% with a temperature reduction from 45 degrees to 25 degrees Celsius.
Thanks to Exante.ai’s expertise in data science and consultancy, the research results support the idea that cooling solar panels can be a valuable investment for companies and households with solar energy systems. These findings could in the future lead to further development of cooling systems for solar panels and ultimately to higher efficiency and sustainability of solar energy systems.