Sunlight Variation Study for Drone-Based Daylight Electroluminescence Imaging of PV Modules

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Abstract

In this paper, we present a study of daylight EL acquisition and the results of a sunlight variation study in a scenario necessary to assure the increase of EL image quality with denoising by averaging for the robustness of the drone system when bright and intermittently cloudy days occur. It was verified that the indicator of image quality based on the signal-to-noise ratio of EL images has a linear behavior with the amount of averaged images when there is no sun variation. When there are sun irradiance variation, it is observed that the quality decrease even with the increased number of images being averaged, turning to increase again only with further additional images.
Original languageEnglish
Title of host publicationProceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition
Publication date2019
Pages1651-1655
ISBN (Print)3-936338-60-4
DOIs
Publication statusPublished - 2019
Event36th European Photovoltaic Solar Energy Conference and Exhibition - Marseille, France
Duration: 9 Sep 201913 Sep 2019

Conference

Conference36th European Photovoltaic Solar Energy Conference and Exhibition
CountryFrance
CityMarseille
Period09/09/201913/09/2019
Series36th European Photovoltaic Solar Energy Conference and Exhibition

Keywords

  • Electroluminescence imaging
  • PV inspections
  • Fault detection
  • Image processing

Cite this

Benatto, G. A. D. R., Mantel, C., Santamaria Lancia, A. A., Villebro, F., Riedel, N., Thorsteinsson, S., ... Séra, D. (2019). Sunlight Variation Study for Drone-Based Daylight Electroluminescence Imaging of PV Modules. In Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition (pp. 1651-1655). 36th European Photovoltaic Solar Energy Conference and Exhibition https://doi.org/10.4229/eupvsec20192019-5cv.4.37