Publication type: | Conference paper |
Type of review: | Not specified |
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 |
DOI: | 10.1002/fuce.201000132 |
Volume(Issue): | 11 |
Page(s): | 573 |
Pages to: | 580 |
Conference details: | 7th Symposium on Fuel Cell Modeling and Experimental Validation, Morges, 23-24 March 2010 |
Issue Date: | 2011 |
Publisher / Ed. Institution: | Wiley |
ISSN: | 1615-6854 |
Language: | English |
Subjects: | Leakage; Modeling; VI-Characteristics; SOFC |
Subject (DDC): | 540: Chemistry 621.3: Electrical, communications, control engineering |
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. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/1705 |
Fulltext version: | Published version |
License (according to publishing contract): | Licence according to publishing contract |
Departement: | School of Engineering |
Organisational Unit: | Institute of Computational Physics (ICP) |
Appears in collections: | Publikationen School of Engineering |
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Linder, M., Hocker, T., Denzler, R., Mai, A., & Iwanschitz, B. (2011). Automated, model-based analysis of Uj-data for electrolyte-supported SOFC short-stacks [Conference paper]. 7th Symposium on Fuel Cell Modeling and Experimental Validation, Morges, 23-24 March 2010, 11, 573–580. https://doi.org/10.1002/fuce.201000132
Linder, M. et al. (2011) ‘Automated, model-based analysis of Uj-data for electrolyte-supported SOFC short-stacks’, in 7th Symposium on Fuel Cell Modeling and Experimental Validation, Morges, 23-24 March 2010. Wiley, pp. 573–580. Available at: https://doi.org/10.1002/fuce.201000132.
M. Linder, T. Hocker, R. Denzler, A. Mai, and B. Iwanschitz, “Automated, model-based analysis of Uj-data for electrolyte-supported SOFC short-stacks,” in 7th Symposium on Fuel Cell Modeling and Experimental Validation, Morges, 23-24 March 2010, 2011, vol. 11, pp. 573–580. doi: 10.1002/fuce.201000132.
LINDER, Markus, Thomas HOCKER, Roland DENZLER, Andreas MAI und Boris IWANSCHITZ, 2011. Automated, model-based analysis of Uj-data for electrolyte-supported SOFC short-stacks. In: 7th Symposium on Fuel Cell Modeling and Experimental Validation, Morges, 23-24 March 2010. Conference paper. Wiley. 2011. S. 573–580
Linder, Markus, Thomas Hocker, Roland Denzler, Andreas Mai, and Boris Iwanschitz. 2011. “Automated, Model-Based Analysis of Uj-Data for Electrolyte-Supported SOFC Short-Stacks.” Conference paper. In 7th Symposium on Fuel Cell Modeling and Experimental Validation, Morges, 23-24 March 2010, 11:573–80. Wiley. https://doi.org/10.1002/fuce.201000132.
Linder, Markus, et al. “Automated, Model-Based Analysis of Uj-Data for Electrolyte-Supported SOFC Short-Stacks.” 7th Symposium on Fuel Cell Modeling and Experimental Validation, Morges, 23-24 March 2010, vol. 11, Wiley, 2011, pp. 573–80, https://doi.org/10.1002/fuce.201000132.
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