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Computational simulation data using the Lattice Boltzmann method to generate correlations for gas diffusion layer

Mayken Espinoza-Andaluz1, Raul Reyna2, Yuanxin Qi3

  • 1ESPOL Polytechnic, Escuela Superior Politécnica Del Litoral, ESPOL, Facultad de Ingeniería Mecánica y Ciencias de La Producción, Centro de Energías Renovables y Alternativas, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador.

Data in Brief
|November 14, 2019
PubMed
Summary
This summary is machine-generated.

The lattice Boltzmann method accurately analyzes fluid flow in gas diffusion layers (GDLs) of polymer electrolyte fuel cells (PEFCs). Varying water drop sizes within GDLs impacts diffusion parameters like porosity and tortuosity.

Keywords:
DiffusibilityGas diffusion layerGas-phase tortuosityPEFCWater-droplet

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Area of Science:

  • Computational fluid dynamics
  • Materials science
  • Electrochemistry

Background:

  • Gas diffusion layers (GDLs) are critical components in polymer electrolyte fuel cells (PEFCs).
  • Understanding fluid behavior within the complex porous structure of GDLs is essential for optimizing PEFC performance.
  • Accurate simulation of diffusion parameters is needed to predict fuel cell efficiency.

Purpose of the Study:

  • To compute diffusion parameters (porosity, tortuosity, diffusibility) in simulated GDLs using the lattice Boltzmann method (LBM).
  • To investigate the impact of varying water drop obstacle sizes on these diffusion parameters within the GDL.
  • To provide detailed insights into fluid dynamics and porosity changes under different water saturation conditions.

Main Methods:

  • Implementation of the lattice Boltzmann method (LBM) for fluid flow simulation.
  • Generation of simulated porous media domains representing GDLs.
  • Inclusion and variation of water drop obstacles within the GDL computational domain.
  • Simulation of boundary conditions and computation of flow velocity fields.

Main Results:

  • Computed diffusion parameters including porosity, gas phase tortuosity, and diffusibility for various water drop sizes.
  • Presented visualizations of flow velocity field evolution.
  • Illustrated changes in local and bulk porosity correlated with obstacle size.
  • Quantified the influence of water blockage on GDL transport properties.

Conclusions:

  • The lattice Boltzmann method provides accurate analysis of fluid behavior in complex GDL structures.
  • Water presence significantly alters diffusion parameters and flow dynamics in GDLs.
  • The simulation data and methodologies can be applied to real-world mesoscale porous media problems.