Advanced Imaging and Machine Learning for PV Quality Assurance

Description

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.

Key data

Projectlead

Dr. Evelyne Knapp

Deputy Projectlead

Mattia Battaglia

Co-Projectlead

Dr. Sandra Jenatsch

Project team

Ennio Comi, David Kempf, Prof. Dr. Hartmut Nussbaumer, Jens Baier, Salome Berger, Dr. Christoph Kirsch

Project partners

Fluxim AG; Solaronix S.A.

Project status

completed, 01/2022 - 03/2025

Institute/Centre

Institute of Computational Physics (ICP); Institute of Energy Systems and Fluid Engineering (IEFE); Institute of Product Development and Production Technologies (IPP)

Funding partner

Innovationsprojekt / Projekt Nr. 58054.1 IP-EE

Portrait photo of Dr. Evelyne Knapp

Dr. Evelyne Knapp


Technikumstrasse 71
8400 Winterthur

+41 (0) 58 934 67 57
evelyne.knapp@zhaw.ch

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