Predicting MSR rates in SOFCs using experimental data and CFD methods

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

Computational fluid dynamics (CFD) models can be used to optimize operational conditions for safe and stable operation of direct internal reforming solid oxide fuel cells (SOFCs), but require an appropriate description of the reforming kinetics on the anode. A CFD model, representing a single channel in a single cell test station is developed in this study. Data from previous methane steam reforming experiments on single cells is used to parameterize two kinetic models, one of the power law and one of the Langmuir-Hinshelwood type, using an ideal plug flow reactor model. Both rate equations are implemented in the CFD model and used to simulate the experimental conditions. Although the model shows good statistical agreement with the experimental data for both rate equations, different spatial distributions of reaction rates, species concentrations and temperature are predicted.

Original languageEnglish
Title of host publicationProceedings of the 15th International Symposium on Solid Oxide Fuel Cells (SOFC 2017)
EditorsT. Kawada, S.C. Singhal
PublisherThe Electrochemical Society
Pages2823-2834
ISBN (Electronic)978-160768539-5
DOIs
Publication statusPublished - 2017
EventSOFC 2017: 15th International Symposium on Solid Oxide Fuel Cells: SOFC-XV - Hollywood, United States
Duration: 23 Jul 201728 Jul 2017

Publication series

NameECS Transactions
Number1
Volume78
ISSN (Print)1938-5862

Conference

ConferenceSOFC 2017: 15th International Symposium on Solid Oxide Fuel Cells
CountryUnited States
CityHollywood
Period23/07/1728/07/17

Fingerprint Dive into the research topics of 'Predicting MSR rates in SOFCs using experimental data and CFD methods'. Together they form a unique fingerprint.

Cite this