研究目的
Investigating the effects of moisture induced degradation in crystalline silicon photovoltaic modules using imaging and micro-structural characterization techniques.
研究成果
The study successfully identified moisture induced degradation mechanisms in crystalline silicon PV modules using imaging and micro-structural characterization techniques. Key findings include the formation of silver oxide at cell edges and cracks, tin migration at the finger-wafer interface, and deposition of oxides on copper ribbon interconnects. The approach provided valuable insights into degradation patterns and mechanisms, applicable to both laboratory and field-aged modules.
研究不足
The study was limited to crystalline silicon PV modules and specific moisture induced degradation mechanisms under DH test conditions. The absence of UV light in DH tests may not fully replicate outdoor conditions.
1:Experimental Design and Method Selection:
The study employed electroluminescence (EL) and dark lock-in-thermography (DLIT) imaging techniques to identify moisture induced degradation patterns in crystalline silicon PV modules under damp heat (DH) test conditions. Micro-structural characterization was performed using scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) to identify degradation products.
2:Sample Selection and Data Sources:
Eight un-aged multi-crystalline silicon PV modules from different manufacturers were subjected to extended DH test conditions. A 20-year-old mono-crystalline module installed under hot and humid field conditions was also investigated.
3:List of Experimental Equipment and Materials:
Environmental chamber (Weiss, WKS 3–1500/70/5), EL camera (Greateyes, GE BI MID), IR camera (FLIR, SC5000), FEG-SEM (JSM-7600F), and various organic solvents for chemical extraction.
4:Experimental Procedures and Operational Workflow:
Modules were visually inspected, subjected to DH test, and analyzed using EL and DLIT imaging. Degraded regions were chemically extracted and analyzed using SEM-EDS.
5:Data Analysis Methods:
The chemical composition of degradation products was analyzed using SEM-EDS. Imaging patterns were correlated with micro-structural findings to propose degradation mechanisms.
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