Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4949
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dc.contributor.authorMeier, Christoph-
dc.contributor.authorMeier, Daniel-
dc.contributor.authorVandercruysse, Felix-
dc.contributor.authorHocker, Thomas-
dc.date.accessioned2018-12-21T15:04:45Z-
dc.date.available2018-12-21T15:04:45Z-
dc.date.issued2018-
dc.identifier.issn1750-9548de_CH
dc.identifier.issn2048-3961de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/14148-
dc.description.abstractA model framework is presented to predict the current-voltage (I-U) characteristics and hence the electrical performance of a solid oxide fuel cell (SOFC) repeat unit, i. e., a planar SOFC with adjacent current collector plates. The model uses as input residence times obtained from 3D CFD data for the fuel flowing through the anodic gas channels of a current collector plate. These residence times are then used by an electrochemical model to predict the fuel conversion along different flow paths for various electrical loads. This way, the overall (I-U) behaviour of the repeat unit follows from combining the fuel conversion rates (and respective electrical currents) for the individual flow paths. Since we use a Lagrangian reference frame for the electrochemical model, for a given electrical load, only a simple time-integration of a first-order ODE is required. Therefore, this modelling approach is very efficient and well suited for extensive parameter studies, e. g., to optimise the fuel residence times with respect to the electrical performance of the repeat unit. To ensure its reliability, the model has been validated by comparison with both experimental data and other (I-U) models.de_CH
dc.language.isoende_CH
dc.publisherInternational Society of Multiphysicsde_CH
dc.relation.ispartofThe International Journal of Multiphysicsde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectSOFCde_CH
dc.subjectFuel cell modelde_CH
dc.subject.ddc530: Physikde_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleLagrangian model using CFD flow data to predict the current-voltage characteristics of a solid oxide fuel cell repeat unitde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitute of Computational Physics (ICP)de_CH
dc.identifier.doi10.21256/zhaw-4949-
dc.identifier.doi10.21152/1750-9548.12.4.393de_CH
zhaw.funding.euNode_CH
zhaw.issue4de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end411de_CH
zhaw.pages.start393de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume12de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedChemieingenieurwesende_CH
Appears in collections:Publikationen School of Engineering

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Meier, C., Meier, D., Vandercruysse, F., & Hocker, T. (2018). Lagrangian model using CFD flow data to predict the current-voltage characteristics of a solid oxide fuel cell repeat unit. The International Journal of Multiphysics, 12(4), 393–411. https://doi.org/10.21256/zhaw-4949
Meier, C. et al. (2018) ‘Lagrangian model using CFD flow data to predict the current-voltage characteristics of a solid oxide fuel cell repeat unit’, The International Journal of Multiphysics, 12(4), pp. 393–411. Available at: https://doi.org/10.21256/zhaw-4949.
C. Meier, D. Meier, F. Vandercruysse, and T. Hocker, “Lagrangian model using CFD flow data to predict the current-voltage characteristics of a solid oxide fuel cell repeat unit,” The International Journal of Multiphysics, vol. 12, no. 4, pp. 393–411, 2018, doi: 10.21256/zhaw-4949.
MEIER, Christoph, Daniel MEIER, Felix VANDERCRUYSSE und Thomas HOCKER, 2018. Lagrangian model using CFD flow data to predict the current-voltage characteristics of a solid oxide fuel cell repeat unit. The International Journal of Multiphysics. 2018. Bd. 12, Nr. 4, S. 393–411. DOI 10.21256/zhaw-4949
Meier, Christoph, Daniel Meier, Felix Vandercruysse, and Thomas Hocker. 2018. “Lagrangian Model Using CFD Flow Data to Predict the Current-Voltage Characteristics of a Solid Oxide Fuel Cell Repeat Unit.” The International Journal of Multiphysics 12 (4): 393–411. https://doi.org/10.21256/zhaw-4949.
Meier, Christoph, et al. “Lagrangian Model Using CFD Flow Data to Predict the Current-Voltage Characteristics of a Solid Oxide Fuel Cell Repeat Unit.” The International Journal of Multiphysics, vol. 12, no. 4, 2018, pp. 393–411, https://doi.org/10.21256/zhaw-4949.


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