Lattice Boltzmann Modeling of Advection-Diffusion Transport With Electrochemical Reactions in a Porous SOFC Anode Structure
(2014) 11th ASME Fuel Cell Science, Engineering, and Technology Conference p.001-002- Abstract
- Lattice Boltzmann method (LBM) is a method that can be used to capture the detailed activities of the transport processes at microscale. Here LBM is used to model the porous anode for an anode-supported Solid Oxide Fuel Cell (SOFC). The purpose of this study is to investigate the effects of electrochemical reactions on the transport processes by a 3D model at microscale. A porous 3D modeling domain is created with randomly placed spheres to resemble the part of the anode structure close to the electrolyte. The 3D model is simulated with parallel computing in Python using Palabos and also MATLAB to capture the active microscopic catalytic effects on the heat and mass transport. A multicomponent reaction-advection-diffusion transport for... (More)
- Lattice Boltzmann method (LBM) is a method that can be used to capture the detailed activities of the transport processes at microscale. Here LBM is used to model the porous anode for an anode-supported Solid Oxide Fuel Cell (SOFC). The purpose of this study is to investigate the effects of electrochemical reactions on the transport processes by a 3D model at microscale. A porous 3D modeling domain is created with randomly placed spheres to resemble the part of the anode structure close to the electrolyte. The 3D model is simulated with parallel computing in Python using Palabos and also MATLAB to capture the active microscopic catalytic effects on the heat and mass transport. A multicomponent reaction-advection-diffusion transport for three components (H-2, H2O and O2-) is analyzed with electrochemical reactions and particle collisions. This combined with the heat, momentum and charge transport in the 3D model. It is here been shown that LBM can be used to evaluate the microscale effect of electrochemical reactions on the transport processes and some potential risk of hot spots to reduce harming interaction sites. The electrochemical potential is gradually increased along the flow direction as the species come in contact with each other. There is a potential risk for a hot spot when the active interacting species reach a catalytic layer and the smooth flow pattern is disturbed. Improving the flow structure by the catalytic interface can increase interaction of the reforming reactions and the electrochemical reactions, which in turn can improve the cell performance. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5172924
- author
- Paradis, Hedvig LU ; Andersson, Martin LU and Sundén, Bengt LU
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Porous media, SOFC, LBM, Microscale, Mass diffusion, Heat transport, Fluid flow, Potential
- host publication
- Proceedings of ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2013 Heat Transfer Summer Conference and the ASME 2013 7th International Conference on Energy Sustainability
- pages
- 001 - 002
- publisher
- American Society Of Mechanical Engineers (ASME)
- conference name
- 11th ASME Fuel Cell Science, Engineering, and Technology Conference
- conference dates
- 2013-07-14 - 2013-07-19
- external identifiers
-
- wos:000349884900020
- scopus:84892691952
- DOI
- 10.1115/FuelCell2013-18009
- language
- English
- LU publication?
- yes
- id
- 8742c38e-41bf-488d-a1a5-29d2f6871195 (old id 5172924)
- date added to LUP
- 2016-04-04 10:46:07
- date last changed
- 2022-03-31 17:21:56
@inproceedings{8742c38e-41bf-488d-a1a5-29d2f6871195,
abstract = {{Lattice Boltzmann method (LBM) is a method that can be used to capture the detailed activities of the transport processes at microscale. Here LBM is used to model the porous anode for an anode-supported Solid Oxide Fuel Cell (SOFC). The purpose of this study is to investigate the effects of electrochemical reactions on the transport processes by a 3D model at microscale. A porous 3D modeling domain is created with randomly placed spheres to resemble the part of the anode structure close to the electrolyte. The 3D model is simulated with parallel computing in Python using Palabos and also MATLAB to capture the active microscopic catalytic effects on the heat and mass transport. A multicomponent reaction-advection-diffusion transport for three components (H-2, H2O and O2-) is analyzed with electrochemical reactions and particle collisions. This combined with the heat, momentum and charge transport in the 3D model. It is here been shown that LBM can be used to evaluate the microscale effect of electrochemical reactions on the transport processes and some potential risk of hot spots to reduce harming interaction sites. The electrochemical potential is gradually increased along the flow direction as the species come in contact with each other. There is a potential risk for a hot spot when the active interacting species reach a catalytic layer and the smooth flow pattern is disturbed. Improving the flow structure by the catalytic interface can increase interaction of the reforming reactions and the electrochemical reactions, which in turn can improve the cell performance.}},
author = {{Paradis, Hedvig and Andersson, Martin and Sundén, Bengt}},
booktitle = {{Proceedings of ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2013 Heat Transfer Summer Conference and the ASME 2013 7th International Conference on Energy Sustainability}},
keywords = {{Porous media; SOFC; LBM; Microscale; Mass diffusion; Heat transport; Fluid flow; Potential}},
language = {{eng}},
pages = {{001--002}},
publisher = {{American Society Of Mechanical Engineers (ASME)}},
title = {{Lattice Boltzmann Modeling of Advection-Diffusion Transport With Electrochemical Reactions in a Porous SOFC Anode Structure}},
url = {{http://dx.doi.org/10.1115/FuelCell2013-18009}},
doi = {{10.1115/FuelCell2013-18009}},
year = {{2014}},
}