AI-based Optimizing of End-of-Life Solar Panel Recycling

Research-to-Practice (with Solar Materials GmbH)

In this project we are building an end-to-end machine learning model as a basis for process simulations in order to learn optimal process configurations to maximize recycling yield and thus limit waste. The model design approach needs to take into accont multi-modal data inputs as well as user-controlled inputs for which a casual machine learning approach needs to be fitted. The project benefits the circular economy approach by optimizing recycling yield.

Partner: Solar Materials GmbH