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

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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › 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
Number of pages	5
Publisher	WIP Wirtschaft und Infrastruktur GmbH & Co Planungs KG
Publication date	Sept 2019
Pages	1651 - 1655
ISBN (Electronic)	3-936338-60-4
DOIs	https://doi.org/10.4229/EUPVSEC20192019-5CV.4.37
Publication status	Published - Sept 2019
Event	36th European Photovoltaic Solar Energy Conference and Exhibition - Marseille, France Duration: 9 Sept 2019 → 13 Sept 2019 Conference number: 36 https://www.photovoltaic-conference.com

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://www.photovoltaic-conference.com

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10.4229/EUPVSEC20192019-5CV.4.37

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DronEL - Fast and accurate inspection of large photovoltaic plants using aerial drone imaging
Séra, D., Spataru, S. V. & Parikh, H. R.
Innovation Fund Denmark
01/01/2017 → 31/12/2019
Project: Research

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Alves dos Reis Benatto , G., Mantel, C., A. Santamaria Lancia, A., Villebro, F., Riedel-Lyngskær, 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). WIP Wirtschaft und Infrastruktur GmbH & Co Planungs KG. https://doi.org/10.4229/EUPVSEC20192019-5CV.4.37

@inproceedings{1084037ad1044928b3aa624c60387b6f,

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 whenbright 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.",

author = "{Alves dos Reis Benatto}, Gisele and Claire Mantel and {A. Santamaria Lancia}, Adrian and Frederik Villebro and Nicholas Riedel-Lyngsk{\ae}r 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",

month = sep,

doi = "10.4229/EUPVSEC20192019-5CV.4.37",

language = "English",

pages = "1651 -- 1655",

booktitle = "Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition",

publisher = "WIP Wirtschaft und Infrastruktur GmbH & Co Planungs KG",

note = "36th European Photovoltaic Solar Energy Conference and Exhibition , EUPVSEC ; Conference date: 09-09-2019 Through 13-09-2019",

url = "https://www.photovoltaic-conference.com",

}

Alves dos Reis Benatto , G, Mantel, C, A. Santamaria Lancia, A, Villebro, F, Riedel-Lyngskær, 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. WIP Wirtschaft und Infrastruktur GmbH & Co Planungs KG, 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. / Alves dos Reis Benatto , Gisele ; Mantel, Claire; A. Santamaria Lancia, Adrian et al.
Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition. WIP Wirtschaft und Infrastruktur GmbH & Co Planungs KG, 2019. p. 1651 - 1655.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

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

AU - Alves dos Reis Benatto , Gisele

AU - Mantel, Claire

AU - A. Santamaria Lancia, Adrian

AU - Villebro, Frederik

AU - Riedel-Lyngskær, 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 - 2019/9

Y1 - 2019/9

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 whenbright 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 whenbright 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.

U2 - 10.4229/EUPVSEC20192019-5CV.4.37

DO - 10.4229/EUPVSEC20192019-5CV.4.37

M3 - Article in proceeding

SP - 1651

EP - 1655

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

PB - WIP Wirtschaft und Infrastruktur GmbH & Co Planungs KG

T2 - 36th European Photovoltaic Solar Energy Conference and Exhibition

Y2 - 9 September 2019 through 13 September 2019

ER -

Alves dos Reis Benatto G, Mantel C, A. Santamaria Lancia A, Villebro F, Riedel-Lyngskær 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. WIP Wirtschaft und Infrastruktur GmbH & Co Planungs KG. 2019. p. 1651 - 1655 doi: 10.4229/EUPVSEC20192019-5CV.4.37

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

Abstract

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Projects

DronEL - Fast and accurate inspection of large photovoltaic plants using aerial drone imaging

Cite this