Cross-Characterization for Imaging Parasitic Resistive Losses in Thin-Film Photovoltaic Modules

被引:14
作者
Sinha, Archana [1 ]
Bliss, Martin [2 ]
Wu, Xiaofeng [2 ]
Roy, Subinoy [1 ]
Gottschalg, Ralph [2 ]
Gupta, Rajesh [1 ]
机构
[1] Indian Inst Technol, Dept Energy Sci & Engn, Mumbai 400076, Maharashtra, India
[2] Loughborough Univ, Wolfon Sch Mech Elect & Mfg Engn, CREST, Loughborough LE11 3TU, Leics, England
基金
英国工程与自然科学研究理事会;
关键词
imaging; spatially-resolved; electroluminescence; lock-in thermography; light beam induced current; characterization; transparent conductive oxide; thin-film; photovoltaic module;
D O I
10.3390/jimaging2030023
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
Thin-film photovoltaic (PV) modules often suffer from a variety of parasitic resistive losses in transparent conductive oxide (TCO) and absorber layers that significantly affect the module electrical performance. This paper presents the holistic investigation of resistive effects due to TCO lateral sheet resistance and shunts in amorphous-silicon (a-Si) thin-film PV modules by simultaneous use of three different imaging techniques, electroluminescence (EL), lock-in thermography (LIT) and light beam induced current (LBIC), under different operating conditions. Results from individual techniques have been compared and analyzed for particular type of loss channel, and combination of these techniques has been used to obtain more detailed information for the identification and classification of these loss channels. EL and LIT techniques imaged the TCO lateral resistive effects with different spatial sensitivity across the cell width. For quantification purpose, a distributed diode modeling and simulation approach has been exploited to estimate TCO sheet resistance from EL intensity pattern and effect of cell width on module efficiency. For shunt investigation, LIT provided better localization of severe shunts, while EL and LBIC given good localization of weak shunts formed by the scratches. The impact of shunts on the photocurrent generation capability of individual cells has been assessed by li-LBIC technique. Results show that the cross-characterization by different imaging techniques provides additional information, which aids in identifying the nature and severity of loss channels with more certainty, along with their relative advantages and limitations in particular cases.
引用
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页数:19
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