Solar Lattice

Symptom

Backsheet bubbles or ripples

ID
symptom:backsheet-bubbles
IRI
https://solarlattice.org/kb/symptom/backsheet-bubbles
Status
active
Also known as
blisters, bumps

On the rear of the module the backsheet looks wavy, with local bumps, bubbles or ripples. This happens where the backsheet separates from the module or where its own layers separate, and in the worst case one or more layers peel off. The main way to find it is visual inspection. Field module surveys record bubbles larger than 5 mm as a defective backsheet. Most often it points to backsheet delamination. Its causes include thermo-mechanical stress from layers that expand at different rates with heat, incompatible materials, attack by heat, UV and moisture, external mechanical stress, or a lamination process that was too short. It is more common in hot, humid climates. Blisters can also form behind a vapour barrier such as aluminium foil. Bubbles over cell surfaces can come from poor adhesion, flux residue or gas released during manufacture. A bubble that has burst counts as backsheet cracking. Deep cracks or burst bubbles can come from local hotspots or burn marks, so check for burn marks and heating at any opened bubble. Bubbles in the open centre of the back are not an immediate safety risk, although that area runs slightly hotter. Bubbles near the module edge can let water in and create a path to ground. Bubbles near the junction box can loosen it, break the bypass diode connection and cause an arc. First check where the bubbles are and whether the junction box is still firmly attached. Then run insulation and wet-leakage tests: replace modules that fail or that pose a direct safety risk, and keep inspecting the rest regularly. Do not confuse these with front delamination: there the bubbles or bright milky areas sit in the encapsulant and are seen from the front of the module.

<!-- review notes

Claims

observed_as

c1 verified · fact Backsheet surface profile outlier

Optical profilometry scans of the backsheet, analysed by a machine-learning algorithm, fit the backsheet surface and mark outliers from it. These outliers are cracks, bubbles or delamination. This is a lab or survey image signature, not a monitoring-data channel.

verified by: review-workflowverified on: 2026-10-20review note: support check: partial - Passage says profilometry with ML finds outliers that are cracks, bubbles or delamination, but doesn't mention 'ripples' or the lab/survey-not-monitoring note, and bubbles are only one of the outlier types.

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Data