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PV Defects Identification through a Synergistic Set of Non-Destructive Testing (NDT) Techniques
A synergistic set of NDT techniques, including I–V analysis, UVF imaging, IR thermography, and EL imaging, supports a diagnostics methodology developed in this work to qualitatively and quantitatively identify a wide range of PV defects. The methodology is based on (a) the deviation of the module el...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051975/ https://www.ncbi.nlm.nih.gov/pubmed/36991725 http://dx.doi.org/10.3390/s23063016 |
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author | Kaplanis, Socrates Kaplani, Eleni Borza, Paul Nicolae |
author_facet | Kaplanis, Socrates Kaplani, Eleni Borza, Paul Nicolae |
author_sort | Kaplanis, Socrates |
collection | PubMed |
description | A synergistic set of NDT techniques, including I–V analysis, UVF imaging, IR thermography, and EL imaging, supports a diagnostics methodology developed in this work to qualitatively and quantitatively identify a wide range of PV defects. The methodology is based on (a) the deviation of the module electrical parameters at STC from their nominal values, for which a set of mathematical expressions was developed that provide an insight into potential defects and their quantitative impact on the module electrical parameters, and (b) the variation analysis of EL images captured at a sequence of bias voltages for a qualitative investigation on the spatial distribution and strength of the defects. The synergy of these two pillars, supported by UVF imaging, IR thermography, and I–V analysis cross-correlating their findings, makes the diagnostics methodology effective and reliable. It was applied on c-Si and pc-Si modules operating from 0–24 years, exhibiting a diversity of defects of varying severity, either pre-existing or formed by natural ageing or externally induced degradation. Defects such as EVA degradation, browning, corrosion in the busbar/interconnect ribbons, EVA/cell-interface delamination, pn-junction damage, e(−)+hole recombination regions, breaks, microcracks, finger interruptions, and passivation issues are detected. Degradation factors triggering a cascade of internal degradation processes through cause and effect are analysed and additional models are proposed for the temperature pattern under current mismatch and corrosion along the busbar, further empowering the cross-correlation of NDT results. Power degradation was determined from 1.2% in 2 years of operation to more than 50% in modules with film deposition. |
format | Online Article Text |
id | pubmed-10051975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100519752023-03-30 PV Defects Identification through a Synergistic Set of Non-Destructive Testing (NDT) Techniques Kaplanis, Socrates Kaplani, Eleni Borza, Paul Nicolae Sensors (Basel) Article A synergistic set of NDT techniques, including I–V analysis, UVF imaging, IR thermography, and EL imaging, supports a diagnostics methodology developed in this work to qualitatively and quantitatively identify a wide range of PV defects. The methodology is based on (a) the deviation of the module electrical parameters at STC from their nominal values, for which a set of mathematical expressions was developed that provide an insight into potential defects and their quantitative impact on the module electrical parameters, and (b) the variation analysis of EL images captured at a sequence of bias voltages for a qualitative investigation on the spatial distribution and strength of the defects. The synergy of these two pillars, supported by UVF imaging, IR thermography, and I–V analysis cross-correlating their findings, makes the diagnostics methodology effective and reliable. It was applied on c-Si and pc-Si modules operating from 0–24 years, exhibiting a diversity of defects of varying severity, either pre-existing or formed by natural ageing or externally induced degradation. Defects such as EVA degradation, browning, corrosion in the busbar/interconnect ribbons, EVA/cell-interface delamination, pn-junction damage, e(−)+hole recombination regions, breaks, microcracks, finger interruptions, and passivation issues are detected. Degradation factors triggering a cascade of internal degradation processes through cause and effect are analysed and additional models are proposed for the temperature pattern under current mismatch and corrosion along the busbar, further empowering the cross-correlation of NDT results. Power degradation was determined from 1.2% in 2 years of operation to more than 50% in modules with film deposition. MDPI 2023-03-10 /pmc/articles/PMC10051975/ /pubmed/36991725 http://dx.doi.org/10.3390/s23063016 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kaplanis, Socrates Kaplani, Eleni Borza, Paul Nicolae PV Defects Identification through a Synergistic Set of Non-Destructive Testing (NDT) Techniques |
title | PV Defects Identification through a Synergistic Set of Non-Destructive Testing (NDT) Techniques |
title_full | PV Defects Identification through a Synergistic Set of Non-Destructive Testing (NDT) Techniques |
title_fullStr | PV Defects Identification through a Synergistic Set of Non-Destructive Testing (NDT) Techniques |
title_full_unstemmed | PV Defects Identification through a Synergistic Set of Non-Destructive Testing (NDT) Techniques |
title_short | PV Defects Identification through a Synergistic Set of Non-Destructive Testing (NDT) Techniques |
title_sort | pv defects identification through a synergistic set of non-destructive testing (ndt) techniques |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051975/ https://www.ncbi.nlm.nih.gov/pubmed/36991725 http://dx.doi.org/10.3390/s23063016 |
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