Characterisation of Potential-Induced Degradation Shunting in c-Si PV Modules Using Electroluminescence and Infrared Imaging

Potential-induced degradation shunting (PID-s) is a major degradation mechanism that significantly impacts the long-term performance and reliability of crystalline silicon (c-Si) photovoltaic (PV) modules. For regular maintenance and monitoring, the investigation and characterization of PID-s are essential. Techniques such as current-voltage (I-V) characteristics, electroluminescence (EL) imaging, and infrared thermography (IRT) are commonly used for this purpose. However, implementing I-V characterization on large-scale utility PV fields is not feasible due to practical limitations. Therefore, EL imaging and IRT emerge as more suitable methods for PID-s characterization. Yet, PID-s manifests with varying severity and nature, and no single technique can comprehensively capture all aspects. EL imaging has limitations in characterizing severely affected PID-s cells, whereas IRT can detect thermal signatures even in cases where EL imaging fails. On the other hand, IRT primarily captures the effect (heat generation), not the root cause. It does not reveal the nature of PID-s, such as ohmic and nonohmic which depends sodium ion concentration diffused in p-n junction. EL imaging, however, can detect such phenomena, making it more effective in evaluating the underlying nature of PID-s. Therefore, this work presents the combined application of EL imaging and IRT for a comprehensive analysis and characterization of PID-s. The integration of both techniques offers complementary strengths, enhances PID-s diagnosis, and improves the reliability forecasting of PV systems.

Authors

Institutions

Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/pvsc59419.2025.11133323
Primary Topic
Silicon and Solar Cell Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterisation of Potential-Induced Degradation Shunting in c-Si PV Modules Using Electroluminescence and Infrared Imaging

Ravi Kumar, Rajesh Gupta
Silicon and Solar Cell Technologies
article

Characterisation of Potential-Induced Degradation Shunting in c-Si PV Modules Using Electroluminescence and Infrared Imaging

Ravi Kumar, Rajesh Gupta
article en

Abstract

Potential-induced degradation shunting (PID-s) is a major degradation mechanism that significantly impacts the long-term performance and reliability of crystalline silicon (c-Si) photovoltaic (PV) modules. For regular maintenance and monitoring, the investigation and characterization of PID-s are essential. Techniques such as current-voltage (I-V) characteristics, electroluminescence (EL) imaging, and infrared thermography (IRT) are commonly used for this purpose. However, implementing I-V characterization on large-scale utility PV fields is not feasible due to practical limitations. Therefore, EL imaging and IRT emerge as more suitable methods for PID-s characterization. Yet, PID-s manifests with varying severity and nature, and no single technique can comprehensively capture all aspects. EL imaging has limitations in characterizing severely affected PID-s cells, whereas IRT can detect thermal signatures even in cases where EL imaging fails. On the other hand, IRT primarily captures the effect (heat generation), not the root cause. It does not reveal the nature of PID-s, such as ohmic and nonohmic which depends sodium ion concentration diffused in p-n junction. EL imaging, however, can detect such phenomena, making it more effective in evaluating the underlying nature of PID-s. Therefore, this work presents the combined application of EL imaging and IRT for a comprehensive analysis and characterization of PID-s. The integration of both techniques offers complementary strengths, enhances PID-s diagnosis, and improves the reliability forecasting of PV systems.

Indian Institute of Technology Bombay (IN)
Ministry of Education
Openalex Percentile: Top 78%
Silicon and Solar Cell Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Characterisation of Potential-Induced Degradation Shunting in c-Si PV Modules Using Electroluminescence and Infrared Imaging — Ravi Kumar, Rajesh Gupta · (2025) | TGRS Research Map | TGRS