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

Gisele Alves dos Reis Benatto; Claire Mantel; Adrian Alejo Santamaria Lancia; Frederik Villebro; Nicholas Riedel; Sune Thorsteinsson; Peter Poulsen; Søren Forchhammer; Harsh Rajesh Parikh; Sergiu Viorel Spataru; Dezso Séra

doi:10.4229/eupvsec20192019-5cv.4.37

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

Gisele Alves dos Reis Benatto, Claire Mantel, Adrian Alejo Santamaria Lancia, Frederik Villebro, Nicholas Riedel, Sune Thorsteinsson, Peter Poulsen, Søren Forchhammer, Harsh Rajesh Parikh, Sergiu Viorel Spataru, Dezso Séra

Aalborg University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition
Publication date	2019
Pages	1651-1655
ISBN (Print)	3-936338-60-4
DOIs	https://doi.org/10.4229/eupvsec20192019-5cv.4.37
Publication status	Published - 2019
Event	36th European Photovoltaic Solar Energy Conference and Exhibition - Marseille, France Duration: 9 Sept 2019 → 13 Sept 2019 Conference number: 36 https://europa.eu/newsroom/events/36th-european-photovoltaic-solar-energy-conference-and-exhibition-eu-pvsec-2019_en

Conference

Conference	36th European Photovoltaic Solar Energy Conference and Exhibition
Number	36
Country/Territory	France
City	Marseille
Period	09/09/2019 → 13/09/2019
Internet address	https://europa.eu/newsroom/events/36th-european-photovoltaic-solar-energy-conference-and-exhibition-eu-pvsec-2019_en

Keywords

Electroluminescence imaging
PV inspections
Fault detection
Image processing

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10.4229/eupvsec20192019-5cv.4.37

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Full text

DronEL
Poulsen, P. B., Thorsteinsson, S., Forchhammer, S., Benatto, G. A. D. R., Riedel-Lyngskær, N. C., Thorseth, A., Dam-Hansen, C. & Mantel, C.
01/01/2017 → 31/12/2019
Project: Research

Cite this

Benatto, G. A. D. R., Mantel, C., Santamaria Lancia, A. A., Villebro, F., Riedel, N., Thorsteinsson, S., Poulsen, P., Forchhammer, S., Parikh, H. R., Spataru, S. V., & 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) https://doi.org/10.4229/eupvsec20192019-5cv.4.37

@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",

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",

url = "https://europa.eu/newsroom/events/36th-european-photovoltaic-solar-energy-conference-and-exhibition-eu-pvsec-2019_en",

}

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

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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

N1 - Conference code: 36

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

SP - 1651

EP - 1655

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

T2 - 36th European Photovoltaic Solar Energy Conference and Exhibition

Y2 - 9 September 2019 through 13 September 2019

ER -

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

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