A granular modeling method for non-uniform panel degradation based on I–V characterization and electroluminescence imaging

Martin Garaj; Henry Shu Hung Chung; Sergiu Spataru; Alan Wai Lun Lo; Huai Wang

doi:10.1016/j.solener.2021.08.069

A granular modeling method for non-uniform panel degradation based on I–V characterization and electroluminescence imaging

Martin Garaj, Henry Shu Hung Chung, Sergiu Spataru, Alan Wai Lun Lo, Huai Wang

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

A new model of photovoltaic (PV) panel is proposed. The model precisely replicates sub-cell level degradation, such as cracks and interconnect failures, and reproduces their effect at the panel level I–V characteristic. Moreover, a regression method is proposed, which infers the model's parameters from combination of electroluminescent (EL) image and degraded I–V characteristic. The combination of quantitative (EL image) and qualitative (I–V characteristic) enables to characterize the degradation of the cells embedded in the PV panel, without physical access to the cells. The proposed model and the regression problem is experimentally verified on a set of 3 single cell measurements and a set of 4 crystalline PV panels with various levels of degradation.

Original language	British English
Pages (from-to)	162-178
Number of pages	17
Journal	Solar Energy
Volume	227
DOIs	https://doi.org/10.1016/j.solener.2021.08.069
State	Published - Oct 2021

Keywords

Degradation modeling
Evolutionary algorithm
Preventive diagnostics

UN SDGs

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

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10.1016/j.solener.2021.08.069

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title = "A granular modeling method for non-uniform panel degradation based on I–V characterization and electroluminescence imaging",

abstract = "A new model of photovoltaic (PV) panel is proposed. The model precisely replicates sub-cell level degradation, such as cracks and interconnect failures, and reproduces their effect at the panel level I–V characteristic. Moreover, a regression method is proposed, which infers the model's parameters from combination of electroluminescent (EL) image and degraded I–V characteristic. The combination of quantitative (EL image) and qualitative (I–V characteristic) enables to characterize the degradation of the cells embedded in the PV panel, without physical access to the cells. The proposed model and the regression problem is experimentally verified on a set of 3 single cell measurements and a set of 4 crystalline PV panels with various levels of degradation.",

keywords = "Degradation modeling, Evolutionary algorithm, Preventive diagnostics",

author = "Martin Garaj and Chung, {Henry Shu Hung} and Sergiu Spataru and Lo, {Alan Wai Lun} and Huai Wang",

note = "Funding Information: The work presented in this publication was possible due to generous cooperation of companies Kmetrics and SolarTester, who shared test-bed measurements for testing the proposed method. The work was supported by a grant from the Innovation Fund Denmark through the project APETT with no.: 6154-00010B and Innovation and Technology Fund, Hong Kong through the project #ITS/308/15. Publisher Copyright: {\textcopyright} 2021 International Solar Energy Society",

year = "2021",

month = oct,

doi = "10.1016/j.solener.2021.08.069",

language = "British English",

volume = "227",

pages = "162--178",

journal = "Solar Energy",

issn = "0038-092X",

publisher = "Elsevier Ltd",

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T1 - A granular modeling method for non-uniform panel degradation based on I–V characterization and electroluminescence imaging

AU - Garaj, Martin

AU - Chung, Henry Shu Hung

AU - Spataru, Sergiu

AU - Lo, Alan Wai Lun

AU - Wang, Huai

N1 - Funding Information: The work presented in this publication was possible due to generous cooperation of companies Kmetrics and SolarTester, who shared test-bed measurements for testing the proposed method. The work was supported by a grant from the Innovation Fund Denmark through the project APETT with no.: 6154-00010B and Innovation and Technology Fund, Hong Kong through the project #ITS/308/15. Publisher Copyright: © 2021 International Solar Energy Society

PY - 2021/10

Y1 - 2021/10

N2 - A new model of photovoltaic (PV) panel is proposed. The model precisely replicates sub-cell level degradation, such as cracks and interconnect failures, and reproduces their effect at the panel level I–V characteristic. Moreover, a regression method is proposed, which infers the model's parameters from combination of electroluminescent (EL) image and degraded I–V characteristic. The combination of quantitative (EL image) and qualitative (I–V characteristic) enables to characterize the degradation of the cells embedded in the PV panel, without physical access to the cells. The proposed model and the regression problem is experimentally verified on a set of 3 single cell measurements and a set of 4 crystalline PV panels with various levels of degradation.

AB - A new model of photovoltaic (PV) panel is proposed. The model precisely replicates sub-cell level degradation, such as cracks and interconnect failures, and reproduces their effect at the panel level I–V characteristic. Moreover, a regression method is proposed, which infers the model's parameters from combination of electroluminescent (EL) image and degraded I–V characteristic. The combination of quantitative (EL image) and qualitative (I–V characteristic) enables to characterize the degradation of the cells embedded in the PV panel, without physical access to the cells. The proposed model and the regression problem is experimentally verified on a set of 3 single cell measurements and a set of 4 crystalline PV panels with various levels of degradation.

KW - Degradation modeling

KW - Evolutionary algorithm

KW - Preventive diagnostics

UR - http://www.scopus.com/inward/record.url?scp=85114599784&partnerID=8YFLogxK

U2 - 10.1016/j.solener.2021.08.069

DO - 10.1016/j.solener.2021.08.069

M3 - Article

AN - SCOPUS:85114599784

SN - 0038-092X

VL - 227

SP - 162

EP - 178

JO - Solar Energy

JF - Solar Energy

ER -

A granular modeling method for non-uniform panel degradation based on I–V characterization and electroluminescence imaging

Abstract

Keywords

UN SDGs

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