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

Sergiu Viorel Spataru, Dezso Séra, Harsh Rajesh Parikh, Gisele Alves dos Reis Benatto, Claire Mantel, Peter Behrensdorff Poulsen, Soren Forchhammer

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Abstrakt

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.
OriginalsprogEngelsk
TitelProceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition
Antal sider6
ForlagWIP Wirtschaft und Infrastruktur GmbH & Co Planungs KG
Publikationsdato2019
Sider860 - 865
ISBN (Elektronisk)3-936338-60-4
DOI
StatusUdgivet - 2019
Begivenhed36th European Photovoltaic Solar Energy Conference and Exhibition - Marseille, Frankrig
Varighed: 9 sep. 201913 sep. 2019
Konferencens nummer: 36
https://www.photovoltaic-conference.com

Konference

Konference36th European Photovoltaic Solar Energy Conference and Exhibition
Nummer36
LandFrankrig
ByMarseille
Periode09/09/201913/09/2019
Internetadresse

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Citationsformater

Spataru, S. V., Séra, D., Parikh, H. R., 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. I Proceedings of 36th European Photovoltaic Solar Energy Conference and Exhibition (s. 860 - 865). WIP Wirtschaft und Infrastruktur GmbH & Co Planungs KG. https://doi.org/10.4229/EUPVSEC20192019-4CO.1.3