Numerical analysis of transport phenomena in solid oxide fuel cell gas channels

The gas channel geometry in solid oxide fuel cells (SOFCs) influences the reacting thermo-fluid process and, thus, overall cell performance. This paper presents a dimensionless approach to the study of the transport phenomena in the gas channels of planar anode-supported proton-conducting SOFC. Out-...

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Vydáno v:	Fuel (Guildford) Ročník 311; s. 122557
Hlavní autoři:	Sayadian, Shahide, Ghassemi, Majid, Ahmadi, Sadegh, Robinson, Anthony James
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Kidlington Elsevier Ltd 01.03.2022 Elsevier BV
Témata:	Channels Computational fluid dynamics modeling Computer applications Dimensionless parameters Dynamic models Flow channels Fuel cells Fuel technology Gas channels Mathematical models Numerical analysis Numerical models Parameters Proton-conducting electrolyte Reduction Solid oxide fuel cell Solid oxide fuel cells Temperature distribution Transport phenomena Two dimensional models Computational fluid dynamics modeling Dimensionless parameters Proton-conducting electrolyte Gas channels Solid oxide fuel cell
ISSN:	0016-2361, 1873-7153
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Abstract	The gas channel geometry in solid oxide fuel cells (SOFCs) influences the reacting thermo-fluid process and, thus, overall cell performance. This paper presents a dimensionless approach to the study of the transport phenomena in the gas channels of planar anode-supported proton-conducting SOFC. Out-of-scale modeling reduces the number of variables that should be investigated and offers generalized results, giving insight into similar fuel cells. A 2D numerical model for the multiphysics process in SOFC is developed. A dimensionless form of the governing equations is derived in order to identify the dimensionless quantities that characterize the transport phenomena in SOFC. Reynolds, Peclet, and Sherwood are the important parameter groupings of flow channels that influence mass and temperature distribution. The efficacy of the computational fluid dynamic model is confirmed by comparing simulated results with experimental data from the literature. The effect of fuel and air channels’ dimensionless parameters on cell performance is discussed. Similar changes in fuel and air channels exert various influences on SOFC electrical performance. It is found that reducing Pe in the fuel channel improves power generation. However, Sh and Re reduction effect neutralize the increase in power generation due to Pe reduction in the air channel. •Non-dimensional formulation is used to predict anode-supported SOFC electrical power.•SOFC reacts differently to an identical change in air and fuel channels parameters.•Decreasing Peclet in gas channels increases the cell’s electrical current generation.
AbstractList	The gas channel geometry in solid oxide fuel cells (SOFCs) influences the reacting thermo-fluid process and, thus, overall cell performance. This paper presents a dimensionless approach to the study of the transport phenomena in the gas channels of planar anode-supported proton-conducting SOFC. Out-of-scale modeling reduces the number of variables that should be investigated and offers generalized results, giving insight into similar fuel cells. A 2D numerical model for the multiphysics process in SOFC is developed. A dimensionless form of the governing equations is derived in order to identify the dimensionless quantities that characterize the transport phenomena in SOFC. Reynolds, Peclet, and Sherwood are the important parameter groupings of flow channels that influence mass and temperature distribution. The efficacy of the computational fluid dynamic model is confirmed by comparing simulated results with experimental data from the literature. The effect of fuel and air channels' dimensionless parameters on cell performance is discussed. Similar changes in fuel and air channels exert various influences on SOFC electrical performance. It is found that reducing Pe in the fuel channel improves power generation. However, Sh and Re reduction effect neutralize the increase in power generation due to Pe reduction in the air channel. The gas channel geometry in solid oxide fuel cells (SOFCs) influences the reacting thermo-fluid process and, thus, overall cell performance. This paper presents a dimensionless approach to the study of the transport phenomena in the gas channels of planar anode-supported proton-conducting SOFC. Out-of-scale modeling reduces the number of variables that should be investigated and offers generalized results, giving insight into similar fuel cells. A 2D numerical model for the multiphysics process in SOFC is developed. A dimensionless form of the governing equations is derived in order to identify the dimensionless quantities that characterize the transport phenomena in SOFC. Reynolds, Peclet, and Sherwood are the important parameter groupings of flow channels that influence mass and temperature distribution. The efficacy of the computational fluid dynamic model is confirmed by comparing simulated results with experimental data from the literature. The effect of fuel and air channels’ dimensionless parameters on cell performance is discussed. Similar changes in fuel and air channels exert various influences on SOFC electrical performance. It is found that reducing Pe in the fuel channel improves power generation. However, Sh and Re reduction effect neutralize the increase in power generation due to Pe reduction in the air channel. •Non-dimensional formulation is used to predict anode-supported SOFC electrical power.•SOFC reacts differently to an identical change in air and fuel channels parameters.•Decreasing Peclet in gas channels increases the cell’s electrical current generation.
ArticleNumber	122557
Author	Sayadian, Shahide Robinson, Anthony James Ahmadi, Sadegh Ghassemi, Majid
Author_xml	– sequence: 1 givenname: Shahide surname: Sayadian fullname: Sayadian, Shahide email: ssayadian@mail.kntu.ac.ir organization: Department of Mechanical Engineering, K.N. Toosi University of Technology, Tehran, Iran – sequence: 2 givenname: Majid surname: Ghassemi fullname: Ghassemi, Majid organization: Department of Mechanical Engineering, K.N. Toosi University of Technology, Tehran, Iran – sequence: 3 givenname: Sadegh orcidid: 0000-0001-5226-0259 surname: Ahmadi fullname: Ahmadi, Sadegh organization: Department of Mechanical and Manufacturing Engineering, Trinity College Dublin, Dublin, Ireland – sequence: 4 givenname: Anthony James surname: Robinson fullname: Robinson, Anthony James organization: Department of Mechanical and Manufacturing Engineering, Trinity College Dublin, Dublin, Ireland
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Cites_doi	10.1021/cr020718s 10.1039/C7TA05245F 10.1016/j.jpowsour.2010.04.065 10.1016/j.ijhydene.2018.02.108 10.1016/j.ijhydene.2010.11.018 10.1016/j.ijheatmasstransfer.2004.04.010 10.1016/j.ces.2009.06.066 10.1016/j.ijheatmasstransfer.2011.10.032 10.1016/j.ijhydene.2014.12.088 10.1016/0017-9310(94)00346-W 10.1016/j.ijhydene.2012.12.055 10.1016/j.electacta.2005.09.041 10.1016/j.ijhydene.2016.02.045 10.1016/j.energy.2016.12.074 10.1016/j.ijhydene.2009.09.049 10.1016/S0378-7753(02)00724-3 10.1016/j.cej.2010.07.031 10.1016/j.ijhydene.2014.06.108 10.1016/j.jpowsour.2012.01.041 10.1016/j.ijhydene.2011.10.042 10.1002/fuce.201300160 10.1016/j.jpowsour.2020.228997 10.1016/j.apenergy.2015.03.037 10.1002/ep.13443 10.1016/S0167-2738(03)00222-4
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Keywords	Computational fluid dynamics modeling Dimensionless parameters Proton-conducting electrolyte Gas channels Solid oxide fuel cell
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Snippet	The gas channel geometry in solid oxide fuel cells (SOFCs) influences the reacting thermo-fluid process and, thus, overall cell performance. This paper...
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SubjectTerms	Channels Computational fluid dynamics modeling Computer applications Dimensionless parameters Dynamic models Flow channels Fuel cells Fuel technology Gas channels Mathematical models Numerical analysis Numerical models Parameters Proton-conducting electrolyte Reduction Solid oxide fuel cell Solid oxide fuel cells Temperature distribution Transport phenomena Two dimensional models
Title	Numerical analysis of transport phenomena in solid oxide fuel cell gas channels
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