Detail publikace
POROUS MEDIA CHARACTERIZATION FOR FUEL CELL OPTIMIZATION: A MESOSCOPIC APPROACH VIA LATTICE BOLTZMANN METHOD
ORDÓNEZ-SACA, B. ESPINOZA-ANDALUZ, M. ANDERSSON, M. BOHÁČEK, J. RAMIREZ, A.
Anglický název
POROUS MEDIA CHARACTERIZATION FOR FUEL CELL OPTIMIZATION: A MESOSCOPIC APPROACH VIA LATTICE BOLTZMANN METHOD
Typ
Stať ve sborníku v databázi WoS či Scopus
Jazyk
en
Originální abstrakt
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.
Klíčová slova anglicky
Lattice Boltzmann Method; Porous Media; Polymer Electrolyte Fuel Cell; Optimization, Efficiency
Vydáno
2025-12-15
ISBN
9798331567170
Kniha
2025 IEEE 24TH INTERNATIONAL CONFERENCE ON MICRO AND MINIATURE POWER SYSTEMS, SELF-POWERED SENSORS AND ENERGY AUTONOMOUS DEVICES, POWERMEMS
Strany od–do
98–99
Počet stran
2
BIBTEX
@inproceedings{BUT212145,
author="{} and Mayken {Espinoza-Andaluz} and {} and Jan {Boháček} and {}",
title="POROUS MEDIA CHARACTERIZATION FOR FUEL CELL OPTIMIZATION: A MESOSCOPIC APPROACH VIA LATTICE BOLTZMANN METHOD",
booktitle="2025 IEEE 24TH INTERNATIONAL CONFERENCE ON MICRO AND MINIATURE POWER SYSTEMS, SELF-POWERED SENSORS AND ENERGY AUTONOMOUS DEVICES, POWERMEMS",
year="2025",
pages="2",
doi="10.1109/PowerMEMS66515.2025.11358498",
isbn="9798331567170",
url="https://www.webofscience.com/wos/woscc/full-record/WOS:001713483900026"
}