Advanced Imaging and Machine Learning for PV Quality Assurance

• Unité de recherche: INNOSUISSE
• Numéro de projet: 120.521 IP-EE
• Titre du projet anglais: Advanced Imaging and Machine Learning for PV Quality Assurance

Mots-clé (Anglais)

Energy & environment, Photovoltaics

Résumé des résultats (Abstract) (Anglais)

A multi-imaging setup is developed for investigating lab-scale solar cells and for obtaining spatially resolved information about the cell quality. Machine learning is used to estimate parameters for a physical FEM model that serves as a digital twin for further optimization.