Damp Heat Aging Analysis of Shingled PV Modules

Shingled module technology has emerged as a promising advancement in photovoltaic (PV) design, offering reduced resistive losses, improved shading tolerance, and higher packing density. However, the durability of these modules under environmental stressors remains a critical concern. This study evaluates the performance and reliability of a shingled N-Type monocrystalline PV module subjected to damp heat (DH) testing per IEC 61215 standards. While the IEC standard specifies testing durations of up to 1000 hours, this test was extended to 4000 hours to provide deeper insights into long-term durability. The module was exposed to 85°C and 85% relative humidity for up to 4000 hours, with performance assessed through Electroluminescence (EL) images, I-V curves, and electrical parameters at regular intervals. Results show progressive degradation, with power output declining by 11.5% and the fill factor dropping by 8.5% after 4000 hours, largely due to moisture ingress causing internal corrosion and interconnection failures. EL images highlighted significant changes at the cell interface while I-V curves demonstrated a stable open-circuit voltage but notable declines in fill factor and maximum power point. These findings underscore the importance of advanced encapsulants and adhesives to improve module durability and suggest further research integrating combined stress tests to evaluate long-term reliability comprehensively.

Authors

Institutions

Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/pvsc59419.2025.11132877
Primary Topic
Solar Thermal and Photovoltaic Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Damp Heat Aging Analysis of Shingled PV Modules

Hebatalla Alhamadani, Yogesh Kumar, Baloji Adothu, Prashanth Gabbadi et al.
Solar Thermal and Photovoltaic Systems
article

Damp Heat Aging Analysis of Shingled PV Modules

Hebatalla Alhamadani, Yogesh Kumar, Baloji Adothu, Prashanth Gabbadi, Shaikha Obaid, Ahmed Alhammadi
article en

Abstract

Shingled module technology has emerged as a promising advancement in photovoltaic (PV) design, offering reduced resistive losses, improved shading tolerance, and higher packing density. However, the durability of these modules under environmental stressors remains a critical concern. This study evaluates the performance and reliability of a shingled N-Type monocrystalline PV module subjected to damp heat (DH) testing per IEC 61215 standards. While the IEC standard specifies testing durations of up to 1000 hours, this test was extended to 4000 hours to provide deeper insights into long-term durability. The module was exposed to 85°C and 85% relative humidity for up to 4000 hours, with performance assessed through Electroluminescence (EL) images, I-V curves, and electrical parameters at regular intervals. Results show progressive degradation, with power output declining by 11.5% and the fill factor dropping by 8.5% after 4000 hours, largely due to moisture ingress causing internal corrosion and interconnection failures. EL images highlighted significant changes at the cell interface while I-V curves demonstrated a stable open-circuit voltage but notable declines in fill factor and maximum power point. These findings underscore the importance of advanced encapsulants and adhesives to improve module durability and suggest further research integrating combined stress tests to evaluate long-term reliability comprehensively.

Dubai Health Authority (AE)
Openalex Percentile: Top 85%
Solar Thermal and Photovoltaic Systems
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.