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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.