Computational fluid dynamics modeling of anode-supported solid oxide fuel cells using triple-phase boundary-based kinetics
Computational fluid dynamics modeling of anode-supported solid oxide fuel cells using triple-phase boundary-based kinetics
Fuel oxidation in the solid oxide fuel cell occurs at the triple-phase boundary where electronic, ionic, and gas phases simultaneously interact. A quantitative knowledge of the triple-phase boundary density is therefore important in analyzing the fuel cell performance as well as designing the electrode structures and materials. In this work, the triple-phase boundary-based kinetics, developed from the patterned anode experiments are used in a computational fluid dynamics model to assess the performance of anode-supported nickel-yttria stabilized zirconia cells. The simulation results suggested that the effective triple-phase boundary density required to carry out the electrochemical oxidation reactions is several orders of magnitude lower when compared with the physical triple-phase boundary density of similar cermet anodes. The anode concentration gradients are found to be larger near the anode/electrolyte interface compared to that of fuel channel that is ascribed to the electrochemical reactions taking place in the anode active region and mass transport resistance of the microporous structure. The cell voltage decreased rapidly at high current density due to fuel starvation and subsequent drop of the exchange-current density. Furthermore, the effects of triple-phase boundary density and operating temperature on the cell performance are also studied and discussed.
Tabish, Asif Nadeem
ae1a81ab-39b3-4f5f-aa3e-c8e228c7998a
Fan, Liyuan
6d31707e-7d87-4923-8c6a-5ff5e6165d93
Farhat, Iqra
656af03e-8bc1-41d9-a912-197a7a97bf23
Abbas, Syed Zaheer
3b02900e-fef6-40e1-acf7-96f26bfde4a8
Irshad, Muneeb
a6cfef20-a618-4b9f-8757-16df9bec27b9
30 November 2021
Tabish, Asif Nadeem
ae1a81ab-39b3-4f5f-aa3e-c8e228c7998a
Fan, Liyuan
6d31707e-7d87-4923-8c6a-5ff5e6165d93
Farhat, Iqra
656af03e-8bc1-41d9-a912-197a7a97bf23
Abbas, Syed Zaheer
3b02900e-fef6-40e1-acf7-96f26bfde4a8
Irshad, Muneeb
a6cfef20-a618-4b9f-8757-16df9bec27b9
Tabish, Asif Nadeem, Fan, Liyuan, Farhat, Iqra, Abbas, Syed Zaheer and Irshad, Muneeb
(2021)
Computational fluid dynamics modeling of anode-supported solid oxide fuel cells using triple-phase boundary-based kinetics.
Journal of Power Sources, 513, [230564].
(doi:10.1016/j.jpowsour.2021.230564).
Abstract
Fuel oxidation in the solid oxide fuel cell occurs at the triple-phase boundary where electronic, ionic, and gas phases simultaneously interact. A quantitative knowledge of the triple-phase boundary density is therefore important in analyzing the fuel cell performance as well as designing the electrode structures and materials. In this work, the triple-phase boundary-based kinetics, developed from the patterned anode experiments are used in a computational fluid dynamics model to assess the performance of anode-supported nickel-yttria stabilized zirconia cells. The simulation results suggested that the effective triple-phase boundary density required to carry out the electrochemical oxidation reactions is several orders of magnitude lower when compared with the physical triple-phase boundary density of similar cermet anodes. The anode concentration gradients are found to be larger near the anode/electrolyte interface compared to that of fuel channel that is ascribed to the electrochemical reactions taking place in the anode active region and mass transport resistance of the microporous structure. The cell voltage decreased rapidly at high current density due to fuel starvation and subsequent drop of the exchange-current density. Furthermore, the effects of triple-phase boundary density and operating temperature on the cell performance are also studied and discussed.
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Accepted/In Press date: 23 September 2021
e-pub ahead of print date: 29 September 2021
Published date: 30 November 2021
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Local EPrints ID: 474524
URI: http://eprints.soton.ac.uk/id/eprint/474524
ISSN: 0378-7753
PURE UUID: 39823107-cae7-47e1-b5b3-4da91e37dcf1
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Date deposited: 23 Feb 2023 17:53
Last modified: 28 Aug 2024 02:12
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Author:
Asif Nadeem Tabish
Author:
Liyuan Fan
Author:
Iqra Farhat
Author:
Syed Zaheer Abbas
Author:
Muneeb Irshad
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