Method for Automatic Calculation of the Exposure Time in Electroluminescence Imaging of Photovoltaic Modules

Sergiu Spataru; Dezso Sera; Harsh Parikh; Gisele Alves dos Reis Benatto; Claire Mantel; Peter Behrensdorff Poulsen; Søren Forchhammer

doi:10.4229/EUPVSEC20192019-4CO.1.3

Method for Automatic Calculation of the Exposure Time in Electroluminescence Imaging of Photovoltaic Modules

Aalborg University

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

Abstract

Electroluminescence (EL) imaging of photovoltaic (PV) modules requires careful selection of the measurement parameters, such as camera sensor exposure time, for obtaining accurate images for qualitative and quantitative evaluation of PV module failures. In this work we propose a method for determining the optimal exposure time for EL imaging of PV panels, with respect to maximizing the utilized camera sensitivity range and limiting image saturation due to overexposure. The method requires two EL measurements of the PV panel, at two distinct exposure times, that are used to calculate the optimal exposure time. The main advantage of the proposed method over manually calibrating the exposure time of the camera is that it can be integrated in the camera image acquisition application, for automatic exposure time calibration.

Original language	English
Title of host publication	Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition
Publisher	EU PVSEC
Publication date	2019
Pages	860-65
DOIs	https://doi.org/10.4229/EUPVSEC20192019-4CO.1.3
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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Electroluminescence imaging
Exposure time
Photovoltaic modules,
Solar cells
Integration time
Shutter speed

Access to Document

10.4229/EUPVSEC20192019-4CO.1.3

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Spataru, S., Sera, D., Parikh, H., Benatto, G. A. D. R., Mantel, C., Poulsen, P. B., & Forchhammer, S. (2019). Method for Automatic Calculation of the Exposure Time in Electroluminescence Imaging of Photovoltaic Modules. In Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition (pp. 860-65). EU PVSEC. https://doi.org/10.4229/EUPVSEC20192019-4CO.1.3

@inproceedings{6039bf27b83f46719aa1daadfe00d41e,

title = "Method for Automatic Calculation of the Exposure Time in Electroluminescence Imaging of Photovoltaic Modules",

abstract = "Electroluminescence (EL) imaging of photovoltaic (PV) modules requires careful selection of the measurement parameters, such as camera sensor exposure time, for obtaining accurate images for qualitative and quantitative evaluation of PV module failures. In this work we propose a method for determining the optimal exposure time for EL imaging of PV panels, with respect to maximizing the utilized camera sensitivity range and limiting image saturation due to overexposure. The method requires two EL measurements of the PV panel, at two distinct exposure times, that are used to calculate the optimal exposure time. The main advantage of the proposed method over manually calibrating the exposure time of the camera is that it can be integrated in the camera image acquisition application, for automatic exposure time calibration.",

keywords = "Electroluminescence imaging, Exposure time, Photovoltaic modules,, Solar cells, Integration time, Shutter speed",

author = "Sergiu Spataru and Dezso Sera and Harsh Parikh and Benatto, \{Gisele Alves dos Reis\} and Claire Mantel and Poulsen, \{Peter Behrensdorff\} and S{\o}ren Forchhammer",

year = "2019",

doi = "10.4229/EUPVSEC20192019-4CO.1.3",

language = "English",

pages = "860--65",

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

publisher = "EU PVSEC",

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",

}

Spataru, S, Sera, D, Parikh, H, Benatto, GADR , Mantel, C , Poulsen, PB & Forchhammer, S 2019, Method for Automatic Calculation of the Exposure Time in Electroluminescence Imaging of Photovoltaic Modules. in Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition. EU PVSEC, pp. 860-65, 36th European Photovoltaic Solar Energy Conference and Exhibition, Marseille, France, 09/09/2019. https://doi.org/10.4229/EUPVSEC20192019-4CO.1.3

Method for Automatic Calculation of the Exposure Time in Electroluminescence Imaging of Photovoltaic Modules. / Spataru, Sergiu; Sera, Dezso; Parikh, Harsh et al.
Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition. EU PVSEC, 2019. p. 860-65.

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

TY - GEN

T1 - Method for Automatic Calculation of the Exposure Time in Electroluminescence Imaging of Photovoltaic Modules

AU - Spataru, Sergiu

AU - Sera, Dezso

AU - Parikh, Harsh

AU - Benatto, Gisele Alves dos Reis

AU - Mantel, Claire

AU - Poulsen, Peter Behrensdorff

AU - Forchhammer, Søren

N1 - Conference code: 36

PY - 2019

Y1 - 2019

N2 - Electroluminescence (EL) imaging of photovoltaic (PV) modules requires careful selection of the measurement parameters, such as camera sensor exposure time, for obtaining accurate images for qualitative and quantitative evaluation of PV module failures. In this work we propose a method for determining the optimal exposure time for EL imaging of PV panels, with respect to maximizing the utilized camera sensitivity range and limiting image saturation due to overexposure. The method requires two EL measurements of the PV panel, at two distinct exposure times, that are used to calculate the optimal exposure time. The main advantage of the proposed method over manually calibrating the exposure time of the camera is that it can be integrated in the camera image acquisition application, for automatic exposure time calibration.

AB - Electroluminescence (EL) imaging of photovoltaic (PV) modules requires careful selection of the measurement parameters, such as camera sensor exposure time, for obtaining accurate images for qualitative and quantitative evaluation of PV module failures. In this work we propose a method for determining the optimal exposure time for EL imaging of PV panels, with respect to maximizing the utilized camera sensitivity range and limiting image saturation due to overexposure. The method requires two EL measurements of the PV panel, at two distinct exposure times, that are used to calculate the optimal exposure time. The main advantage of the proposed method over manually calibrating the exposure time of the camera is that it can be integrated in the camera image acquisition application, for automatic exposure time calibration.

KW - Electroluminescence imaging

KW - Exposure time

KW - Photovoltaic modules,

KW - Solar cells

KW - Integration time

KW - Shutter speed

U2 - 10.4229/EUPVSEC20192019-4CO.1.3

DO - 10.4229/EUPVSEC20192019-4CO.1.3

M3 - Article in proceedings

SP - 860

EP - 865

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

PB - EU PVSEC

T2 - 36th European Photovoltaic Solar Energy Conference and Exhibition

Y2 - 9 September 2019 through 13 September 2019

ER -

Method for Automatic Calculation of the Exposure Time in Electroluminescence Imaging of Photovoltaic Modules

Abstract

Conference

UN SDGs

Keywords

Access to Document

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