University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Towards the 3D modelling of the effective conductivity of solid oxide fuel cell electrodes - Validation against experimental measurements and prediction of electrochemical performance

Rhazaoui, K, Cai, Q, Kishimoto, M, Tariq, F, Somalu, MR, Adjiman, CS and Brandon, NP (2015) Towards the 3D modelling of the effective conductivity of solid oxide fuel cell electrodes - Validation against experimental measurements and prediction of electrochemical performance Electrochimica Acta, 168. pp. 139-147.

Full text not available from this repository.

Abstract

© 2015 Elsevier Ltd. All rights reserved.The effective conductivity of thick-film solid oxide fuel cell (SOFC) electrodes plays a key role in their performance. It determines the ability of the electrode to transport charge to/from reaction sites to the current collector and electrolyte. In this paper, the validity of the recently proposed 3D resistor network model for the prediction of effective conductivity, the ResNet model, is investigated by comparison to experimental data. The 3D microstructures of Ni/10ScSZ anodes are reconstructed using tomography through the focused ion beam and scanning electron microscopy (FIB-SEM) technique. This is used as geometric input to the ResNet model to predict the effective conductivities, which are then compared against the experimentally measured values on the same electrodes. Good agreement is observed, supporting the validity of the ResNet model for predicting the effective conductivity of SOFC electrodes. The ResNet model is then combined with the volume-of-fluid (VOF) method to integrate the description of the local conductivity (electronic and ionic) in the prediction of electrochemical performance. The results show that the electrochemical performance is in particular sensitive to the ionic conductivity of the electrode microstructure, highlighting the importance of an accurate description of the local ionic conductivity.

Item Type: Article
Authors :
NameEmailORCID
Rhazaoui, KUNSPECIFIEDUNSPECIFIED
Cai, Qq.cai@surrey.ac.ukUNSPECIFIED
Kishimoto, MUNSPECIFIEDUNSPECIFIED
Tariq, FUNSPECIFIEDUNSPECIFIED
Somalu, MRUNSPECIFIEDUNSPECIFIED
Adjiman, CSUNSPECIFIEDUNSPECIFIED
Brandon, NPUNSPECIFIEDUNSPECIFIED
Date : 20 June 2015
Identification Number : 10.1016/j.electacta.2015.04.005
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:37
Last Modified : 17 May 2017 15:12
URI: http://epubs.surrey.ac.uk/id/eprint/839849

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800