Abstract
Outdoor daylight electroluminescence (EL) and photoluminescence (PL) imaging techniques have gained significant interest in the Operations & Maintenance industry for their safety, feasibility and effectiveness in identifying defects and faults in PV modules. Previous research have shown that fast solar irradiance variations pose the greatest challenge for digital filtering. Additionally, the evaluation of optical daylight filters shows that in bright daylight, narrow bandwidth filters enable the use of wider lens apertures, leading to higher-quality and more robust EL images. This work aims to quantify, across the imaging camera's spectral range, the sunlight variations that cannot be digitally filtered and to provide insights into the properties of narrow band-pass filters for blocking unwanted sunlight photons detected by the camera. The findings are validated through EL images captured in bright daylight, demonstrating how the signal-to-noise ratio improves when critical portions of the solar spectrum are effectively filtered out.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2025 IEEE 53rd Photovoltaic Specialists Conference |
| Publisher | IEEE |
| Publication date | 2025 |
| Pages | 1089-1092 |
| Article number | 11132494 |
| ISBN (Print) | 979-8-3315-3445-5 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 2025 IEEE 53rd Photovoltaic Specialists Conference - Palais des congres de Montreal, Montreal, Canada Duration: 8 Jun 2025 → 13 Jun 2025 |
Conference
| Conference | 2025 IEEE 53rd Photovoltaic Specialists Conference |
|---|---|
| Location | Palais des congres de Montreal |
| Country/Territory | Canada |
| City | Montreal |
| Period | 08/06/2025 → 13/06/2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Optical filters
- Band-pass filters
- Solar irradiance
- Photovoltaic systems
- Optical imaging
- Electroluminescence
- Safety
- Digital filters
- Signal to noise ratio
- Photonics
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