Finite element modeling for analysis of electroluminescence and infrared images of thin-film solar cells

•Organic solar cells simulated by a coupled 2 + 1D finite element method approach.•Sheet resistance extraction by fitting simulated currents to electroluminescence images.•Thermal imaging combined with electro-thermal simulation to investigate the shunting behavior. Sheet resistance losses and local...

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Veröffentlicht in:Solar energy 2020-10, Vol.209, p.186-193
Hauptverfasser: Diethelm, Matthias, Penninck, Lieven, Regnat, Markus, Offermans, Ton, Zimmermann, Birger, Kirsch, Christoph, Hiestand, Roman, Altazin, Stéphane, Ruhstaller, Beat
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Sprache:eng
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Zusammenfassung:•Organic solar cells simulated by a coupled 2 + 1D finite element method approach.•Sheet resistance extraction by fitting simulated currents to electroluminescence images.•Thermal imaging combined with electro-thermal simulation to investigate the shunting behavior. Sheet resistance losses and local defects are challenges faced in solar module fabrication and upscaling processes. Commonly used investigation tools are non-invasive optical and thermal imaging techniques, such as electroluminescence, photoluminescence as well as illuminated and dark infrared imaging. Here, we investigate the potential of computationally efficient finite element simulation of solar cells and modules by considering planar electrodes coupled by a local current–voltage coupling law. Sheet resistances are determined by fitting current simulation results of an OPV solar cell to electroluminescence imaging data. Moreover, a thermal model is introduced that accounts for Joule heating due to an electrothermal coupling. A direct comparison of simulated temperature maps to measured infrared images is therefore possible. The electrothermal model is successfully validated by comparing measured and simulated temperature profiles across four interconnected organic solar cells of a mini-module. Furthermore, the influence of shunts on the thermal behavior of OPV modules is investigated by comparing electrothermal simulation results to dark lock-In IR thermography images.
ISSN:0038-092X
1471-1257
DOI:10.1016/j.solener.2020.08.058