Details
| Original language | English |
|---|---|
| Article number | 234819 |
| Journal | Journal of Power Sources |
| Volume | 612 |
| Early online date | 1 Jun 2024 |
| Publication status | Published - 30 Aug 2024 |
Abstract
The microstructure of the gas diffusion layer (GDL) influences the fuel cell performance significantly. A deeper understanding of the transport processes within the GDL is crucial for its optimisation. In this study, a porous microstructure of the gas diffusion layer is reconstructed stochastically, and the impact of the anisotropy parameter on transport properties is examined and determined by comparing it to experimental data. Subsequently, a series of GDLs with different binder and polytetrafluoroethylene (PTFE) volume fractions are reconstructed. A pore-scale model (PSM) simulation is employed to compute the anisotropic transport properties of the reconstructed model. The PSM result indicates that, as the binder and PTFE percentages increase, the in-plane and through-plane diffusivities decrease, while the electrical and thermal conductivities show non-monotonic evolution. The water distribution and the invasion process of liquid water into the reconstructed GDL is investigated using the multiple-relaxation-time lattice Boltzmann method (LBM). The result demonstrates the effect of binder and PTFE, on water penetration in the GDL with constant and reduced porosity. Furthermore, the optimal volume fractions of binder and PTFE are determined based on the PSM and LBM results. This comprehensive analysis contributes to a better understanding of the interplay between microstructure, transport properties, and water behaviour in GDLs, offering insights for optimisation of mass transport and water management of fuel cells.
Keywords
- Effective transport properties, Gas diffusion layer, Lattice Boltzmann method, Pore-scale model, Proton-exchange membrane fuel cell, Stochastic reconstruction
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Electrical and Electronic Engineering
- Energy(all)
- Renewable Energy, Sustainability and the Environment
- Chemistry(all)
- Physical and Theoretical Chemistry
Sustainable Development Goals
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In: Journal of Power Sources, Vol. 612, 234819, 30.08.2024.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Pore-scale investigation of water-gas transport in reconstructed gas diffusion layers with binder and polytetrafluoroethylene coating
AU - Li, Min
AU - Mimic, Dajan
AU - Nachtigal, Philipp
N1 - Publisher Copyright: © 2024 The Authors
PY - 2024/8/30
Y1 - 2024/8/30
N2 - The microstructure of the gas diffusion layer (GDL) influences the fuel cell performance significantly. A deeper understanding of the transport processes within the GDL is crucial for its optimisation. In this study, a porous microstructure of the gas diffusion layer is reconstructed stochastically, and the impact of the anisotropy parameter on transport properties is examined and determined by comparing it to experimental data. Subsequently, a series of GDLs with different binder and polytetrafluoroethylene (PTFE) volume fractions are reconstructed. A pore-scale model (PSM) simulation is employed to compute the anisotropic transport properties of the reconstructed model. The PSM result indicates that, as the binder and PTFE percentages increase, the in-plane and through-plane diffusivities decrease, while the electrical and thermal conductivities show non-monotonic evolution. The water distribution and the invasion process of liquid water into the reconstructed GDL is investigated using the multiple-relaxation-time lattice Boltzmann method (LBM). The result demonstrates the effect of binder and PTFE, on water penetration in the GDL with constant and reduced porosity. Furthermore, the optimal volume fractions of binder and PTFE are determined based on the PSM and LBM results. This comprehensive analysis contributes to a better understanding of the interplay between microstructure, transport properties, and water behaviour in GDLs, offering insights for optimisation of mass transport and water management of fuel cells.
AB - The microstructure of the gas diffusion layer (GDL) influences the fuel cell performance significantly. A deeper understanding of the transport processes within the GDL is crucial for its optimisation. In this study, a porous microstructure of the gas diffusion layer is reconstructed stochastically, and the impact of the anisotropy parameter on transport properties is examined and determined by comparing it to experimental data. Subsequently, a series of GDLs with different binder and polytetrafluoroethylene (PTFE) volume fractions are reconstructed. A pore-scale model (PSM) simulation is employed to compute the anisotropic transport properties of the reconstructed model. The PSM result indicates that, as the binder and PTFE percentages increase, the in-plane and through-plane diffusivities decrease, while the electrical and thermal conductivities show non-monotonic evolution. The water distribution and the invasion process of liquid water into the reconstructed GDL is investigated using the multiple-relaxation-time lattice Boltzmann method (LBM). The result demonstrates the effect of binder and PTFE, on water penetration in the GDL with constant and reduced porosity. Furthermore, the optimal volume fractions of binder and PTFE are determined based on the PSM and LBM results. This comprehensive analysis contributes to a better understanding of the interplay between microstructure, transport properties, and water behaviour in GDLs, offering insights for optimisation of mass transport and water management of fuel cells.
KW - Effective transport properties
KW - Gas diffusion layer
KW - Lattice Boltzmann method
KW - Pore-scale model
KW - Proton-exchange membrane fuel cell
KW - Stochastic reconstruction
UR - http://www.scopus.com/inward/record.url?scp=85194917295&partnerID=8YFLogxK
U2 - 10.1016/j.jpowsour.2024.234819
DO - 10.1016/j.jpowsour.2024.234819
M3 - Article
VL - 612
JO - Journal of Power Sources
JF - Journal of Power Sources
SN - 0378-7753
M1 - 234819
ER -