Accelerated Aging Method of Performance Attenuation of Crystalline Silicon Photovoltaic Modules Under Full-Spectrum Conditions

Crystalline silicon photovoltaic modules, when subjected to diverse environmental conditions, undergo progressive performance degradation due to factors such as temperature, humidity, light irradiation, and operational duration. Understanding this degradation is essential for reliably correlating laboratory tests with actual operational performance. This study examines the reduction in power generation capacity resulting from the prolonged interaction of these modules with various environmental factors. We developed an accelerated aging model that simulates real-world conditions in the lab, using multiple doses of environmental factors, full-spectrum conditions, and varying light intensities. The developed model indicates an aging acceleration factor of 143.36, though this factor might be higher in actual conditions. To validate our model, we conducted a series of tests under controlled conditions, specifically at a temperature of 70 °C, humidity level of 60%, and triple the standard incident light intensity. The findings revealed a significant correlation between the accelerated aging model and the long-term performance degradation observed in modules operational for 8-10 years. For polycrystalline silicon modules, the correction coefficient associated with the accelerated aging method was determined to range from 0.3 to 0.5. This study presents a reliable approach for connecting long-term performance projections of photovoltaic modules to laboratory testing, providing critical insights into the operational reliability and degradation patterns of crystalline silicon photovoltaic modules within the industry.

Authors

Institutions

Publication Details

Journal
Materials
Published
2025-03-27
DOI
https://doi.org/10.3390/ma18071507
Citations
3
Primary Topic
Silicon and Solar Cell Technologies
Type
article
Field-Weighted Citation Impact
2.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accelerated Aging Method of Performance Attenuation of Crystalline Silicon Photovoltaic Modules Under Full-Spectrum Conditions

Zhuoyuan Zhang, Xin Li, Rui Liu, Mingli Wu et al.
3 citations
Materials
Silicon and Solar Cell Technologies
2.19
article

Accelerated Aging Method of Performance Attenuation of Crystalline Silicon Photovoltaic Modules Under Full-Spectrum Conditions

Zhuoyuan Zhang, Xin Li, Rui Liu, Mingli Wu, Ying Liu
article en
3 citations

Abstract

Crystalline silicon photovoltaic modules, when subjected to diverse environmental conditions, undergo progressive performance degradation due to factors such as temperature, humidity, light irradiation, and operational duration. Understanding this degradation is essential for reliably correlating laboratory tests with actual operational performance. This study examines the reduction in power generation capacity resulting from the prolonged interaction of these modules with various environmental factors. We developed an accelerated aging model that simulates real-world conditions in the lab, using multiple doses of environmental factors, full-spectrum conditions, and varying light intensities. The developed model indicates an aging acceleration factor of 143.36, though this factor might be higher in actual conditions. To validate our model, we conducted a series of tests under controlled conditions, specifically at a temperature of 70 °C, humidity level of 60%, and triple the standard incident light intensity. The findings revealed a significant correlation between the accelerated aging model and the long-term performance degradation observed in modules operational for 8-10 years. For polycrystalline silicon modules, the correction coefficient associated with the accelerated aging method was determined to range from 0.3 to 0.5. This study presents a reliable approach for connecting long-term performance projections of photovoltaic modules to laboratory testing, providing critical insights into the operational reliability and degradation patterns of crystalline silicon photovoltaic modules within the industry.

MaterialsVol. 18(7)
Beijing Jiaotong University (CN), Beijing Transportation Research Center (CN)
Openalex Percentile: Top 13%
Silicon and Solar Cell Technologies
2.19
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.