A Photovoltaic Module Diagnostic Setup for Lock-in Electroluminescence Imaging

Harsh Rajesh Parikh; Sergiu Viorel Spataru; Dezso Séra; Gisele A. dos Reis Benatto; Peter Poulsen; Claire Mantel; Soren Forchhammer; Michael Larsen; Kenn H. B. Frederiksen; Jan Vedde

doi:10.1109/PVSC40753.2019.8981255

A Photovoltaic Module Diagnostic Setup for Lock-in Electroluminescence Imaging

Harsh Rajesh Parikh, Sergiu Viorel Spataru, Dezso Séra, Gisele A. dos Reis Benatto, Peter Poulsen, Claire Mantel, Soren Forchhammer, Michael Larsen, Kenn H. B. Frederiksen, Jan Vedde

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

4 Citationer (Scopus)

83 Downloads (Pure)

Abstract

Electroluminescence (EL) imaging and infrared (IRT) thermography techniques have become indispensable tools in recent years for health diagnostic of photovoltaic modules in solar industry application. We propose a diagnostic setup, which performs lock-in EL for accurate analysis of different types of faults occurring in a solar module. The setup is built around a high-speed SWIR camera, which can acquire images at very short integration time (1μs) and high frame rate (301 fps). In addition, a state-of-the-art imaging chamber allows for introducing controlled levels of ambient light noise for developing new light noise removal methods, rotation of panel frame in 3 axes plane for developing perspective distortion correction techniques. The paper also gives an insight of different system and communication delays that affects the performance of overall EL lock-in imaging system integration. The purpose of the diagnostic setup is to support research in PV failure quantification through EL imaging, which can also be useful for aerial drone imaging of PV plants

Originalsprog	Engelsk
Titel	Proceedings of 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)
Antal sider	6
Forlag	IEEE Press
Publikationsdato	jun. 2019
Sider	0538-0543
Artikelnummer	0160-8371
ISBN (Trykt)	978-1-7281-0495-9
ISBN (Elektronisk)	978-1-7281-0494-2
DOI	https://doi.org/10.1109/PVSC40753.2019.8981255
Status	Udgivet - jun. 2019
Begivenhed	2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, USA Varighed: 16 jun. 2019 → 21 jun. 2019

Konference

Konference	2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)
Land/Område	USA
By	Chicago
Periode	16/06/2019 → 21/06/2019

Navn	I E E E Photovoltaic Specialists Conference. Conference Record
ISSN	0160-8371

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10.1109/PVSC40753.2019.8981255

Harsh_PVSC46_Manuscript_latexAccepteret manuskript, 2,83 MB

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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.
Innovationsfonden
01/01/2017 → 31/12/2019
Projekter: Projekt › Forskning

Citationsformater

Parikh, H. R., Spataru, S. V., Séra, D., A. dos Reis Benatto, G., Poulsen, P., Mantel, C., Forchhammer, S., Larsen, M., Frederiksen, K. H. B., & Vedde, J. (2019). A Photovoltaic Module Diagnostic Setup for Lock-in Electroluminescence Imaging. I Proceedings of 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) (s. 0538-0543). Artikel 0160-8371 IEEE Press. https://doi.org/10.1109/PVSC40753.2019.8981255

@inproceedings{c2543b0522e9492abf89a0e2f0202872,

title = "A Photovoltaic Module Diagnostic Setup for Lock-in Electroluminescence Imaging",

abstract = "Electroluminescence (EL) imaging and infrared (IRT) thermography techniques have become indispensable tools in recent years for health diagnostic of photovoltaic modules in solar industry application. We propose a diagnostic setup, which performs lock-in EL for accurate analysis of different types of faults occurring in a solar module. The setup is built around a high-speed SWIR camera, which can acquire images at very short integration time (1μs) and high frame rate (301 fps). In addition, a state-of-the-art imaging chamber allows for introducing controlled levels of ambient light noise for developing new light noise removal methods, rotation of panel frame in 3 axes plane for developing perspective distortion correction techniques. The paper also gives an insight of different system and communication delays that affects the performance of overall EL lock-in imaging system integration. The purpose of the diagnostic setup is to support research in PV failure quantification through EL imaging, which can also be useful for aerial drone imaging of PV plants",

keywords = "EL imaging, Lock-in technique, Ambient noise level, Perspective distortion, Lock-in measurement procedure, System delays",

author = "Parikh, {Harsh Rajesh} and Spataru, {Sergiu Viorel} and Dezso S{\'e}ra and {A. dos Reis Benatto}, Gisele and Peter Poulsen and Claire Mantel and Soren Forchhammer and Michael Larsen and Frederiksen, {Kenn H. B.} and Jan Vedde",

year = "2019",

month = jun,

doi = "10.1109/PVSC40753.2019.8981255",

language = "English",

isbn = "978-1-7281-0495-9",

series = "I E E E Photovoltaic Specialists Conference. Conference Record",

publisher = "IEEE Press",

pages = "0538--0543",

booktitle = "Proceedings of 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)",

note = "2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) ; Conference date: 16-06-2019 Through 21-06-2019",

}

Parikh, HR, Spataru, SV, Séra, D, A. dos Reis Benatto, G, Poulsen, P, Mantel, C, Forchhammer, S, Larsen, M, Frederiksen, KHB & Vedde, J 2019, A Photovoltaic Module Diagnostic Setup for Lock-in Electroluminescence Imaging. i Proceedings of 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)., 0160-8371, IEEE Press, I E E E Photovoltaic Specialists Conference. Conference Record, s. 0538-0543, 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), Chicago, USA, 16/06/2019. https://doi.org/10.1109/PVSC40753.2019.8981255

A Photovoltaic Module Diagnostic Setup for Lock-in Electroluminescence Imaging. / Parikh, Harsh Rajesh; Spataru, Sergiu Viorel; Séra, Dezso et al.
Proceedings of 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC). IEEE Press, 2019. s. 0538-0543 0160-8371 (I E E E Photovoltaic Specialists Conference. Conference Record).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - A Photovoltaic Module Diagnostic Setup for Lock-in Electroluminescence Imaging

AU - Parikh, Harsh Rajesh

AU - Spataru, Sergiu Viorel

AU - Séra, Dezso

AU - A. dos Reis Benatto, Gisele

AU - Poulsen, Peter

AU - Mantel, Claire

AU - Forchhammer, Soren

AU - Larsen, Michael

AU - Frederiksen, Kenn H. B.

AU - Vedde, Jan

PY - 2019/6

Y1 - 2019/6

N2 - Electroluminescence (EL) imaging and infrared (IRT) thermography techniques have become indispensable tools in recent years for health diagnostic of photovoltaic modules in solar industry application. We propose a diagnostic setup, which performs lock-in EL for accurate analysis of different types of faults occurring in a solar module. The setup is built around a high-speed SWIR camera, which can acquire images at very short integration time (1μs) and high frame rate (301 fps). In addition, a state-of-the-art imaging chamber allows for introducing controlled levels of ambient light noise for developing new light noise removal methods, rotation of panel frame in 3 axes plane for developing perspective distortion correction techniques. The paper also gives an insight of different system and communication delays that affects the performance of overall EL lock-in imaging system integration. The purpose of the diagnostic setup is to support research in PV failure quantification through EL imaging, which can also be useful for aerial drone imaging of PV plants

AB - Electroluminescence (EL) imaging and infrared (IRT) thermography techniques have become indispensable tools in recent years for health diagnostic of photovoltaic modules in solar industry application. We propose a diagnostic setup, which performs lock-in EL for accurate analysis of different types of faults occurring in a solar module. The setup is built around a high-speed SWIR camera, which can acquire images at very short integration time (1μs) and high frame rate (301 fps). In addition, a state-of-the-art imaging chamber allows for introducing controlled levels of ambient light noise for developing new light noise removal methods, rotation of panel frame in 3 axes plane for developing perspective distortion correction techniques. The paper also gives an insight of different system and communication delays that affects the performance of overall EL lock-in imaging system integration. The purpose of the diagnostic setup is to support research in PV failure quantification through EL imaging, which can also be useful for aerial drone imaging of PV plants

KW - EL imaging

KW - Lock-in technique

KW - Ambient noise level

KW - Perspective distortion

KW - Lock-in measurement procedure

KW - System delays

U2 - 10.1109/PVSC40753.2019.8981255

DO - 10.1109/PVSC40753.2019.8981255

M3 - Article in proceeding

SN - 978-1-7281-0495-9

T3 - I E E E Photovoltaic Specialists Conference. Conference Record

SP - 538

EP - 543

BT - Proceedings of 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)

PB - IEEE Press

T2 - 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)

Y2 - 16 June 2019 through 21 June 2019

ER -

Parikh HR, Spataru SV, Séra D, A. dos Reis Benatto G, Poulsen P, Mantel C et al. A Photovoltaic Module Diagnostic Setup for Lock-in Electroluminescence Imaging. I Proceedings of 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC). IEEE Press. 2019. s. 0538-0543. 0160-8371. (I E E E Photovoltaic Specialists Conference. Conference Record). doi: 10.1109/PVSC40753.2019.8981255

A Photovoltaic Module Diagnostic Setup for Lock-in Electroluminescence Imaging

Abstract

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

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