Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31697
Title: Bias-Dependent Admittance Spectroscopy of Thin-Film Solar Cells: Experiment and Simulation
Authors: BRAMMERTZ, Guy 
KOHL, Thierry 
DE WILD, Jessica 
BULDU KOHL, Dilara 
BIRANT, Gizem 
MEURIS, Marc 
POORTMANS, Jef 
VERMANG, Bart 
Issue Date: 2020
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Source: IEEE Journal of Photovoltaics, 10 (4) , p. 1102 -1111
Abstract: In the present contribution, we have measured and simulated room temperature bias- and frequency-dependent capacitances of thin-film solar cell devices. The results of both the simulations and experimental measurements are represented as 2-D contour plots showing the derivative of the capacitance with respect to the frequency multiplied by the frequency. These plots are called "loss maps," because responses in these contour plots correspond to responses of different nonidealities in the devices. Using a 1-D drift-diffusion solver (SCAPS), we have simulated the responses of different nonidealities of the solar cell devices, such as series resistance, bulk defects, interface defects, back contact barrier, and absorber-buffer barrier. We have shown that some nonidealities have a quite recognizable trace in the loss map. Other nonidealities on the other hand show responses that look quite similar in the bias voltage and frequency space, making exact conclusions on the nature and position of the defect responses in thin-film solar cells most of the times difficult. We have compared the simulated results with experimental measurements of one of our Cu(In,Ga)Se-2 (CIGS) solar cell devices and came to the conclusion that there is likely a bulk defect or a spike-like barrier at the CIGS-CdS interface present in our particular device. The loss map can, in some cases, be useful in order to analyze admittance spectroscopy data in a graphical and relatively intuitive way.
Keywords: Admittance spectroscopy;Cu(In,Ga)Se-2 (CIGS);loss map;thin-film photovoltaics
Document URI: http://hdl.handle.net/1942/31697
ISSN: 2156-3381
e-ISSN: 2156-3403
DOI: 10.1109/JPHOTOV.2020.2992350
ISI #: WOS:000542594700025
Rights: Copyright 2020 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

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