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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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
Benatto, Gisele Alves dos Reis ; Mantel, Claire ; Santamaria Lancia, Adrian Alejo ; Villebro, Frederik ; Riedel, Nicholas ; Thorsteinsson, Sune ; Poulsen, Peter ; Forchhammer, Søren ; Parikh, Harsh Rajesh ; Spataru, Sergiu Viorel ; Séra, Dezso. / Sunlight Variation Study for Drone-Based Daylight Electroluminescence Imaging of PV Modules. Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition. 2019. pp. 1651-1655 (36th European Photovoltaic Solar Energy Conference and Exhibition).
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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",

}

Benatto, GADR, Mantel, C, Santamaria Lancia, AA, Villebro, F, Riedel, N, Thorsteinsson, S, Poulsen, P, Forchhammer, S, Parikh, HR, Spataru, SV & 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. 36th European Photovoltaic Solar Energy Conference and Exhibition, pp. 1651-1655, 36th European Photovoltaic Solar Energy Conference and Exhibition, Marseille, France, 09/09/2019. https://doi.org/10.4229/eupvsec20192019-5cv.4.37

Sunlight Variation Study for Drone-Based Daylight Electroluminescence Imaging of PV Modules. / Benatto, Gisele Alves dos Reis; Mantel, Claire; Santamaria Lancia, Adrian Alejo; Villebro, Frederik; Riedel, Nicholas; Thorsteinsson, Sune; Poulsen, Peter; Forchhammer, Søren; Parikh, Harsh Rajesh; Spataru, Sergiu Viorel; Séra, Dezso.

Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition. 2019. p. 1651-1655 (36th European Photovoltaic Solar Energy Conference and Exhibition).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Sunlight Variation Study for Drone-Based Daylight Electroluminescence Imaging of PV Modules

AU - Benatto, Gisele Alves dos Reis

AU - Mantel, Claire

AU - Santamaria Lancia, Adrian Alejo

AU - Villebro, Frederik

AU - Riedel, Nicholas

AU - Thorsteinsson, Sune

AU - Poulsen, Peter

AU - Forchhammer, Søren

AU - Parikh, Harsh Rajesh

AU - Spataru, Sergiu Viorel

AU - Séra, Dezso

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Electroluminescence imaging

KW - PV inspections

KW - Fault detection

KW - Image processing

U2 - 10.4229/eupvsec20192019-5cv.4.37

DO - 10.4229/eupvsec20192019-5cv.4.37

M3 - Article in proceedings

SN - 3-936338-60-4

T3 - 36th European Photovoltaic Solar Energy Conference and Exhibition

SP - 1651

EP - 1655

BT - Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition

ER -

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