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Porous media characterization for fuel cell optimization : a mesoscopic approach via Lattice Boltzmann Method

Ordonez-Saca, Brayan ; Espinoza-Andaluz, Mayken LU ; Andersson, Martin LU orcid ; Bohacek, Jan and Ramirez, Angel D. (2025) 24th IEEE International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2025 p.98-99
Abstract

The efficiency and durability of Polymer Electrolyte Fuel Cells (PEFCs) depend on optimizing porous media components such as gas diffusion and catalyst layers. In parallel, the Lattice Boltzmann Method (LBM) has emerged as a powerful tool to model fluid flow, mass transport, and multiphase interactions in complex porous structures. This works provides a concise overview of recent advances in applying LBM to improve fuel cell performance. Key findings show that LBM supports enhanced water management, structural optimization, model multiscale modeling, and advanced computational strategies, making it a strong candidate to link structural properties with experimental validation.

Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Efficiency, Lattice Boltzmann Method, Optimization, Polymer Electrolyte Fuel Cell, Porous media
host publication
2025 IEEE 24th International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices (PowerMEMS). 15-18 Dec. 2025
pages
98 - 99
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
24th IEEE International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2025
conference location
Albuquerque, United States
conference dates
2025-12-15 - 2025-12-18
external identifiers
  • scopus:105033621060
DOI
10.1109/PowerMEMS66515.2025.11358498
language
English
LU publication?
yes
id
f1e91f7b-caa2-414f-9f05-87479c14957b
date added to LUP
2026-04-10 14:08:38
date last changed
2026-05-12 16:53:07
@inproceedings{f1e91f7b-caa2-414f-9f05-87479c14957b,
  abstract     = {{<p>The efficiency and durability of Polymer Electrolyte Fuel Cells (PEFCs) depend on optimizing porous media components such as gas diffusion and catalyst layers. In parallel, the Lattice Boltzmann Method (LBM) has emerged as a powerful tool to model fluid flow, mass transport, and multiphase interactions in complex porous structures. This works provides a concise overview of recent advances in applying LBM to improve fuel cell performance. Key findings show that LBM supports enhanced water management, structural optimization, model multiscale modeling, and advanced computational strategies, making it a strong candidate to link structural properties with experimental validation.</p>}},
  author       = {{Ordonez-Saca, Brayan and Espinoza-Andaluz, Mayken and Andersson, Martin and Bohacek, Jan and Ramirez, Angel D.}},
  booktitle    = {{2025 IEEE 24th International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices (PowerMEMS). 15-18 Dec. 2025}},
  keywords     = {{Efficiency; Lattice Boltzmann Method; Optimization; Polymer Electrolyte Fuel Cell; Porous media}},
  language     = {{eng}},
  pages        = {{98--99}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Porous media characterization for fuel cell optimization : a mesoscopic approach via Lattice Boltzmann Method}},
  url          = {{http://dx.doi.org/10.1109/PowerMEMS66515.2025.11358498}},
  doi          = {{10.1109/PowerMEMS66515.2025.11358498}},
  year         = {{2025}},
}