Publikationstyp: Konferenz: Paper
Art der Begutachtung: Keine Angabe
Titel: Automated, model-based analysis of Uj-data for electrolyte-supported SOFC short-stacks
Autor/-in: Linder, Markus
Hocker, Thomas
Denzler, Roland
Mai, Andreas
Iwanschitz, Boris
DOI: 10.1002/fuce.201000132
Band(Heft): 11
Seite(n): 573
Seiten bis: 580
Angaben zur Konferenz: 7th Symposium on Fuel Cell Modeling and Experimental Validation, Morges, 23-24 March 2010
Erscheinungsdatum: 2011
Verlag / Hrsg. Institution: Wiley
ISSN: 1615-6854
Sprache: Englisch
Schlagwörter: Leakage; Modeling; VI-Characteristics; SOFC
Fachgebiet (DDC): 540: Chemie
621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnik
Zusammenfassung: 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
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Engineering
Organisationseinheit: Institute of Computational Physics (ICP)
Enthalten in den Sammlungen: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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