https://doi.org/10.1051/epjpv/2025029
Original Article
Strategy for simple, on-site failure analysis: investigating bubbles and burn marks in backsheets of PV modules
1
Forschungszentrum Jülich GmbH, Helmholtz-Institute Erlangen-Nürnberg, HI ERN, 91058 Erlangen, Germany
2
Energy Research Laboratory Fotovoltaica/UFSC, Florianópolis, Brazil
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
31
July
2025
Accepted:
11
December
2025
Published online: 6 February 2026
Abstract
We present a practical, field-deployable workflow for the identification and analysis of localized polymer degradation in photovoltaic modules, observed as bubbles and burn marks in three multi-MWp power plants in Brazil and Germany. The approach combines high-throughput screening—visual inspection, infrared thermography, ultraviolet fluorescence imaging, and serial-number mapping—with selective in-depth analyses of representative modules using electroluminescence, current–voltage measurements, and near-infrared absorption spectroscopy. The workflow enables efficient detection of anomalies across large installations, while confirmatory tests validate root causes on a limited subset. Defects occurred in about 3–4% of inspected modules and were concentrated in the upper and lower cell rows. Although all sites experienced similar partial shading, anomalies appeared only in PET-based backsheets with PVDF or PVF outer layers, highlighting material-dependent susceptibility. No immediate electrical or safety impact was found, but continued monitoring is advised to mitigate future reliability risks. The presented methodology offers a scalable, drone-compatible framework for early-stage field detection of polymer degradation.
Key words: Field measurements / defect detection / backsheet degradation / inter-row spacing / PV operation & maintenance
These authors contributed equally to this work.
© B. Käßer et al., Published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

