Sunlight Variation Study for Drone-Based Daylight Electroluminescence Imaging of PV Modules. Benatto, G., Mantel, C., Santamaria Lancia, A., Villebro, F., Riedel, N., Thorsteinsson, S., Poulsen, P., Forchhammer, S., Parikh, H., Spataru, S., & Séra, D. In Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition, of 36th European Photovoltaic Solar Energy Conference and Exhibition, pages 1651–1655, 2019. 36th European Photovoltaic Solar Energy Conference and Exhibition, EU PVSEC 2019 ; Conference date: 09-09-2019 Through 13-09-2019doi abstract bibtex 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.
@inproceedings{e16e5054b88a4c9f8132492c341ef43c,
title = "Sunlight Variation Study for Drone-Based Daylight Electroluminescence Imaging of PV Modules",
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.",
keywords = "Electroluminescence imaging, PV inspections, Fault detection, Image processing",
author = "Benatto, {Gisele Alves dos Reis} and Claire Mantel and {Santamaria Lancia}, {Adrian Alejo} and Frederik Villebro and Nicholas Riedel and Sune Thorsteinsson and Peter Poulsen and S{\o}ren Forchhammer and Parikh, {Harsh Rajesh} and Spataru, {Sergiu Viorel} and Dezso S{\'e}ra",
year = "2019",
doi = "10.4229/eupvsec20192019-5cv.4.37",
language = "English",
isbn = "3-936338-60-4",
series = "36th European Photovoltaic Solar Energy Conference and Exhibition",
pages = "1651--1655",
booktitle = "Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition",
note = "36th European Photovoltaic Solar Energy Conference and Exhibition, EU PVSEC 2019 ; Conference date: 09-09-2019 Through 13-09-2019",
}
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