Reconstruction and Calibration of Contactless Electroluminescence Images From Laser Line Scanning of Photovoltaic Modules

Claire Mantel; Gisele Alves dos Reis Benatto; Adrian Alejo Santamaria Lancia; Sergiu Spataru; Peter Behrensdorff Poulsen; Søren Forchhammer

doi:10.1109/JPHOTOV.2022.3151327

Reconstruction and Calibration of Contactless Electroluminescence Images From Laser Line Scanning of Photovoltaic Modules

Claire Mantel, Gisele Alves dos Reis Benatto, Adrian Alejo Santamaria Lancia, Sergiu Spataru, Peter Behrensdorff Poulsen, Søren Forchhammer

Research output: Contribution to journal › Journal article › Research › peer-review

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Abstract

This article presents image processing methods for reconstructing and calibrating contactless electroluminescence (EL) images acquired with laser line scanning for diagnostic of photovoltaic modules. The method specifically focuses on two outputs: a contactless conventional EL that is calibrated to correspond to electrically biased EL and a contactless highlighted EL that emphasizes visualization of defects. Results are evaluated first by visual inspection, showing similar resolution to electrically biased EL at 2% or 5% Isc. A quantitative analysis by peak signal to noise ratio (PSNR) measures also assesses the resemblance between the reconstructed contactless conventional EL and the reference electrically biased EL.

Original language	English
Article number	9736329
Journal	IEEE Journal of Photovoltaics
Volume	12
Issue number	3
Pages (from-to)	696 - 702
ISSN	2156-3403
DOIs	https://doi.org/10.1109/JPHOTOV.2022.3151327
Publication status	Published - 2022

Keywords

Contactless EL (CEL)
Diagnostic
Electroluminescence (EL)
Imaging
Laser induced luminescence

UN SDGs

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

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10.1109/JPHOTOV.2022.3151327

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title = "Reconstruction and Calibration of Contactless Electroluminescence Images From Laser Line Scanning of Photovoltaic Modules",

abstract = "This article presents image processing methods for reconstructing and calibrating contactless electroluminescence (EL) images acquired with laser line scanning for diagnostic of photovoltaic modules. The method specifically focuses on two outputs: a contactless conventional EL that is calibrated to correspond to electrically biased EL and a contactless highlighted EL that emphasizes visualization of defects. Results are evaluated first by visual inspection, showing similar resolution to electrically biased EL at 2% or 5% Isc. A quantitative analysis by peak signal to noise ratio (PSNR) measures also assesses the resemblance between the reconstructed contactless conventional EL and the reference electrically biased EL.",

keywords = "Contactless EL (CEL), Diagnostic, Electroluminescence (EL), Imaging, Laser induced luminescence",

author = "Claire Mantel and Benatto, {Gisele Alves dos Reis} and Lancia, {Adrian Alejo Santamaria} and Sergiu Spataru and Poulsen, {Peter Behrensdorff} and S{\o}ren Forchhammer",

year = "2022",

doi = "10.1109/JPHOTOV.2022.3151327",

language = "English",

volume = "12",

pages = "696 -- 702",

journal = "IEEE Journal of Photovoltaics",

issn = "2156-3403",

publisher = "IEEE",

number = "3",

}

Reconstruction and Calibration of Contactless Electroluminescence Images From Laser Line Scanning of Photovoltaic Modules. / Mantel, Claire ; Benatto, Gisele Alves dos Reis; Lancia, Adrian Alejo Santamaria et al.
In: IEEE Journal of Photovoltaics, Vol. 12, No. 3, 9736329, 2022, p. 696 - 702.

Research output: Contribution to journal › Journal article › Research › peer-review

TY - JOUR

T1 - Reconstruction and Calibration of Contactless Electroluminescence Images From Laser Line Scanning of Photovoltaic Modules

AU - Mantel, Claire

AU - Benatto, Gisele Alves dos Reis

AU - Lancia, Adrian Alejo Santamaria

AU - Spataru, Sergiu

AU - Poulsen, Peter Behrensdorff

AU - Forchhammer, Søren

PY - 2022

Y1 - 2022

N2 - This article presents image processing methods for reconstructing and calibrating contactless electroluminescence (EL) images acquired with laser line scanning for diagnostic of photovoltaic modules. The method specifically focuses on two outputs: a contactless conventional EL that is calibrated to correspond to electrically biased EL and a contactless highlighted EL that emphasizes visualization of defects. Results are evaluated first by visual inspection, showing similar resolution to electrically biased EL at 2% or 5% Isc. A quantitative analysis by peak signal to noise ratio (PSNR) measures also assesses the resemblance between the reconstructed contactless conventional EL and the reference electrically biased EL.

AB - This article presents image processing methods for reconstructing and calibrating contactless electroluminescence (EL) images acquired with laser line scanning for diagnostic of photovoltaic modules. The method specifically focuses on two outputs: a contactless conventional EL that is calibrated to correspond to electrically biased EL and a contactless highlighted EL that emphasizes visualization of defects. Results are evaluated first by visual inspection, showing similar resolution to electrically biased EL at 2% or 5% Isc. A quantitative analysis by peak signal to noise ratio (PSNR) measures also assesses the resemblance between the reconstructed contactless conventional EL and the reference electrically biased EL.

KW - Contactless EL (CEL)

KW - Diagnostic

KW - Electroluminescence (EL)

KW - Imaging

KW - Laser induced luminescence

U2 - 10.1109/JPHOTOV.2022.3151327

DO - 10.1109/JPHOTOV.2022.3151327

M3 - Journal article

SN - 2156-3403

VL - 12

SP - 696

EP - 702

JO - IEEE Journal of Photovoltaics

JF - IEEE Journal of Photovoltaics

IS - 3

M1 - 9736329

ER -

Reconstruction and Calibration of Contactless Electroluminescence Images From Laser Line Scanning of Photovoltaic Modules

Abstract

Keywords

UN SDGs

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