Case study
Solar PV Thermal Documentation
RGB and thermal documentation of a rooftop photovoltaic array. Apparent temperature patterns were recorded with location context so a facilities team could review and prioritize follow-up.
- Objective
- Document temperature patterns across a rooftop PV system for later maintenance review.
- What was captured
- Paired thermal and RGB stills covering the array, with location context for observed temperature anomalies.
- Capture method
- Aerial thermal and visual capture planned for module-level coverage of the rooftop array.
- RGB / thermal relationship
- Thermal frames were reviewed against visual imagery so apparent heat signatures could be located on physical modules.
- Findings documented
- More than 160 thermal anomalies were recorded, including hotspot, multi-diode, and string-level temperature patterns.
- Deliverables
- Thermal imagery, RGB context, annotated snapshots, and location context for follow-up. PV reporting was organized with IEC 62446-3 in view.
Context
RGB and thermal together
Thermal color is a visualization of apparent temperature. Location still depends on the paired visual record.


RGB
Thermal
Documented patterns
What the record showed
The patterns below were documented as apparent temperature differences. They are not independent determinations of electrical failure or liability.
Hotspots and multi-hotspots
Localized high-temperature cells and repeated hotspot patterns were recorded across the array so technicians could inspect specific modules rather than walking the field without location context.



Multi-diode temperature patterns
Repeated hot blocks within modules were documented as high-priority patterns for later electrical testing. The record locates the modules; it does not itself assign a root cause.


String-level patterns
Uneven heating along the same electrical string was documented so downstream review could consider inverter, combiner, or wiring issues as appropriate.



Review context
Temperature spread
Comparing warmer and cooler modules under similar conditions helps later reviewers distinguish outliers from ordinary variation.



Need thermal documentation?
Describe the array or asset and what the record needs to support.