Identification of the Backsheet Type of Silicon Photovoltaic Modules from Encapsulant Fluorescence Images
Source abstract
Abstract
High Resolution Image Download MS PowerPoint Slide Feasibility of the identification of backsheet (BS) composition of field-aged Si photovoltaic (PV) modules based on the analysis of characteristic patterns of UV-excited fluorescence (UVF) of ethylene vinyl acetate copolymer encapsulant is shown. The approach includes BS identification by vibrational spectroscopies and the formation of a database of BS-related characteristic UVF patterns. A multivariate principal component analysis of the UVF images of unknown samples combined with the UVF pattern database allows the BS type to be identified only from UVF images. The geometric place of particular samples in the principal component plots is indicative of the general degradation status of PV modules. The proposed method can be applied for high-throughput noncontact characterization of solar PV plants.
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Research context
OpenAlex topics: Photovoltaic System Optimization Techniques · Silicon and Solar Cell Technologies
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Affiliations
High Throughput Methods in Photovoltaics, Forschungszentrum Jülich GmbH, Helmholtz Institute Erlangen-Nürnberg for Renewable Energy (HI ERN), Immerwahrstraße 2, 91058 Erlangen, Bavaria, Germany
Funding
Bundesministerium f?r Wirtschaft und Energie · Zentrales Innovationsprogramm Mittelstand, Bundesministerium f?r Wirtschaft und Klimaschutz · Bavarian State Government
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