Computational simulation data using the Lattice Boltzmann method to generate correlations for gas diffusion layer parameters
(2019) In Data in Brief 27.- Abstract
Analyzing the fluid behavior in complex porous media like gas diffusion layers (GDLs) in polymer electrolyte fuel cells (PEFCs) can be accurately done using the lattice Boltzmann method (LBM). This article shows the data obtained from a study in which diffusion parameters such as porosity, gas phase tortuosity and diffusibility are computed considering simulated porous media [1]. The data were computed when a water drop obstacle is placed inside the GDL domain and the size of the water-drop is varied. Additionally, figures showing the evolution of the flow velocity field are presented alongside graphics that presents the change in local and bulk porosity for each obstacle size. Finally, there is a detailed method explanation concerning... (More)
Analyzing the fluid behavior in complex porous media like gas diffusion layers (GDLs) in polymer electrolyte fuel cells (PEFCs) can be accurately done using the lattice Boltzmann method (LBM). This article shows the data obtained from a study in which diffusion parameters such as porosity, gas phase tortuosity and diffusibility are computed considering simulated porous media [1]. The data were computed when a water drop obstacle is placed inside the GDL domain and the size of the water-drop is varied. Additionally, figures showing the evolution of the flow velocity field are presented alongside graphics that presents the change in local and bulk porosity for each obstacle size. Finally, there is a detailed method explanation concerning the implementation of the lattice Boltzmann method and a general description of computational codes for the domain and obstacle generation as well as the boundary conditions simulation. Data and processes in this article can be exploited in new attempts to solve real case problems in complex mesoscale media.
(Less)
- author
- Espinoza-Andaluz, Mayken LU ; Reyna, Raul ; Qi, Yuanxin LU ; Li, Tingshuai and Andersson, Martin LU
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Diffusibility, Gas diffusion layer, Gas-phase tortuosity, PEFC, Water-droplet
- in
- Data in Brief
- volume
- 27
- article number
- 104688
- publisher
- Elsevier
- external identifiers
-
- scopus:85074129559
- pmid:31720338
- ISSN
- 2352-3409
- DOI
- 10.1016/j.dib.2019.104688
- language
- English
- LU publication?
- yes
- id
- 0b2abecc-37eb-420f-9b53-13554485b15e
- date added to LUP
- 2019-11-05 10:58:23
- date last changed
- 2024-03-04 07:29:48
@article{0b2abecc-37eb-420f-9b53-13554485b15e,
abstract = {{<p>Analyzing the fluid behavior in complex porous media like gas diffusion layers (GDLs) in polymer electrolyte fuel cells (PEFCs) can be accurately done using the lattice Boltzmann method (LBM). This article shows the data obtained from a study in which diffusion parameters such as porosity, gas phase tortuosity and diffusibility are computed considering simulated porous media [1]. The data were computed when a water drop obstacle is placed inside the GDL domain and the size of the water-drop is varied. Additionally, figures showing the evolution of the flow velocity field are presented alongside graphics that presents the change in local and bulk porosity for each obstacle size. Finally, there is a detailed method explanation concerning the implementation of the lattice Boltzmann method and a general description of computational codes for the domain and obstacle generation as well as the boundary conditions simulation. Data and processes in this article can be exploited in new attempts to solve real case problems in complex mesoscale media.</p>}},
author = {{Espinoza-Andaluz, Mayken and Reyna, Raul and Qi, Yuanxin and Li, Tingshuai and Andersson, Martin}},
issn = {{2352-3409}},
keywords = {{Diffusibility; Gas diffusion layer; Gas-phase tortuosity; PEFC; Water-droplet}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Data in Brief}},
title = {{Computational simulation data using the Lattice Boltzmann method to generate correlations for gas diffusion layer parameters}},
url = {{http://dx.doi.org/10.1016/j.dib.2019.104688}},
doi = {{10.1016/j.dib.2019.104688}},
volume = {{27}},
year = {{2019}},
}