Title: Automated, model-based analysis of Uj-data for electrolyte-supported SOFC short-stacks
Authors : Linder, Markus
Hocker, Thomas
Denzler, Roland
Mai, Andreas
Iwanschitz, Boris
Volume(Issue) : 11
Pages : 573
Pages to: 580
Conference details: 7th Symposium on Fuel Cell Modelling and Experimental Validation (MODVAL7), Morges (Lausanne), Switzerland, 23–24 March 2010
Publisher / Ed. Institution : Wiley - VCH Verlag GmbH & Co. KGaA
Issue Date: Aug-2011
Language : Englisch / English
Subjects : Leakage; Modeling; VI-Characteristics; SOFC
Subject (DDC) : 540: Chemie
621.3: Elektrotechnik, Elektronik
Abstract: A simplified model is presented to analyse current-voltage characteristics of electrolyte supported solid oxide fuel cell stacks that run on reformed hydrocarbon fuels such as natural gas. The model takes into account the fuel reforming process, fuel leakages and electrochemical conversions all in an idealised manner, i.e. it assumes thermodynamic equilibrium. However, the model explicitly accounts for parameter variations that are often unavoidable under realistic testing conditions. These variations include changes in the fuel composition, changes in the fuel mass fluxes and changes in the operation temperature. In addition, internal repeat unit resistances as extracted from current-voltage data are compared with the ohmic and polarisation losses obtained from independent electrical impedance measurements data. Since the data analysis is done in a highly automated fashion, large sets of current-voltage data can be compared and 'normal' data sets can be discriminated from 'abnormal' ones. The model has the potential to accelerate testing by eliminating variations that lead to corruption and unwanted scattering of current-voltage data.
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Publication type: Konferenz: Paper / Conference Paper
DOI : 10.1002/fuce.201000132
ISSN: 1615-6854
URI: https://digitalcollection.zhaw.ch/handle/11475/1705
Appears in Collections:Publikationen School of Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.