| Hauptseite > Workflowsammlungen > Publikationsgebühren > Aerial photoluminescence imaging of photovoltaic modules |
| Typ | Amount | VAT | Currency | Share | Status | Cost centre |
| Hybrid-OA | 0.00 | 0.00 | EUR | (DEAL) | ZB | |
| Sum | 0.00 | 0.00 | EUR | |||
| Total | 0.00 |
| Journal Article | FZJ-2023-02019 |
; ; ; ; ; ; ;
2023
Wiley-VCH
Weinheim
This record in other databases:
Please use a persistent id in citations: doi:10.1002/pssr.202300059 doi:10.34734/FZJ-2023-02019
Abstract: On-site imaging of modules in photovoltaic systems requires contact-free techniques with high-throughput and low-cost for commercial relevance. Photoluminescence imaging satisfies these requirements, but it has so far not been used for aerial imaging. Such a system faces unique engineering and operating challenges, including the need to mount a light source on the drone and identifying module defects from images taken under low- and non-uniform irradiance. In this study, we present our in-house developed PLAI (photoluminescence aerial imaging) setup and we demonstrate that it can be used to identify defects even with a difference of excitation intensity of up to 50%. The setup consists of a hexa-copter aerial drone equipped with an illumination unit and a near-infrared camera. The unit is capable of partially illuminating full size modules at night and capturing the photoluminescence response. In the maiden flight, we achieved a throughput of 13.6 PV modules per minute, and we estimate that a throughput of 300 PV modules per minute is feasible. We show that the setup can be used to detect and identify cracks and potential-induced-degradation with high levels of confidence. We verify these findings by cross correlation and comparing captured photoluminescence images to electroluminescence images taken indoors.
|
The record appears in these collections: |