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Prediction of Local Temperature Dependent Performance of Silicon Solar Cells

: Eberle, R.; Fell, A.; Mägdefessel, S.; Schindler, F.; Schubert, M.C.

Fulltext urn:nbn:de:0011-n-5487234 (608 KByte PDF)
MD5 Fingerprint: 349cd434b41a35c9741ed25cad9832d2
Created on: 18.6.2019

Verlinden, P. ; WIP - Renewable Energies, München:
35th European Photovoltaic Solar Energy Conference and Exhibition 2018 : Proceedings of the international conference held in Brussels, Belgium, 24 September-28 September 2018; DVD-ROM
München: WIP, 2018
ISBN: 978-3-936338-50-8
ISBN: 3-936338-50-7
European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC) <35, 2018, Brussels>
Conference Paper, Electronic Publication
Fraunhofer ISE ()
Photovoltaik; Silicium-Photovoltaik; Charakterisierung von Prozess- und Silicium-Materialien

In this study, we present a method to predict the local temperature dependent performance of silicon solar cells from wafer lifetime images which enables local investigation of silicon solar cell parameters under realistic operation conditions. The multicrystalline silicon wafers investigated underwent high temperature steps equivalent to emitter diffusion and contact firing for the production of a PERC solar cell. Injection and temperature dependent lifetime images, gathered by calibrated photoluminescence imaging, are combined with numerical cell device simulations using Quokka3. Hereby, the spatially resolved open-circuit voltage VOC, short-circuit current density jSC, fill factor FF and the efficiency of a virtual solar cell based on the characterized material are predicted for various temperatures. This data is used to compute temperature coefficients of the aforementioned cell parameters. Our predictions are validated by a comparison with measurement results of cells made from sister wafers, which are analyzed globally and spatially resolved via PL imaging, Lock-in Thermography and Light-Beam-Induced-Current measurements.