• Media type: E-Article
  • Title: Aerial photoluminescence imaging of photovoltaic modules
  • Contributor: Doll, Bernd [Author]; Wittmann, Ernst [Author]; Lüer, Larry [Author]; Hepp, Johannes [Author]; Buerhop-Lutz, Claudia [Author]; Hauch, Jens [Author]; Brabec, Christoph [Author]; Peters, Ian Marius [Author]
  • imprint: Wiley-VCH, 2023
  • Published in: Physica status solidi / Rapid research letters 17(12), 202300059 (2023). doi:10.1002/pssr.202300059
  • Language: English
  • DOI: https://doi.org/10.1002/pssr.202300059; https://doi.org/10.34734/FZJ-2023-02019
  • ISSN: 1862-6270; 1862-6254
  • Origination:
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  • Description: 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.
  • Access State: Open Access