An Adaptive Numerical Framework for the Electro‐Chemical Transport in Direct Internal Reforming Solid Oxide Fuel Cells (DIR‐SOFC)

Fuente: Wiley Open Access
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Albert Costa‐Solé, Abel Gargallo‐Peiró, Adrià Quintanas‐Corominas, Antonio G. Sabato, Marc Torrell, Albert Tarancón, Daniel Mira
Format: Artículo Open Access
Veröffentlicht: Wiley 2026
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1867010155139301377
author Albert Costa‐Solé
Abel Gargallo‐Peiró
Adrià Quintanas‐Corominas
Antonio G. Sabato
Marc Torrell
Albert Tarancón
Daniel Mira
author_facet Albert Costa‐Solé
Abel Gargallo‐Peiró
Adrià Quintanas‐Corominas
Antonio G. Sabato
Marc Torrell
Albert Tarancón
Daniel Mira
Albert Costa‐Solé
Abel Gargallo‐Peiró
Adrià Quintanas‐Corominas
Antonio G. Sabato
Marc Torrell
Albert Tarancón
Daniel Mira
collection Wiley Open Access
contents An Adaptive Numerical Framework for the Electro‐Chemical Transport in Direct Internal Reforming Solid Oxide Fuel Cells (DIR‐SOFC) Albert Costa‐Solé Abel Gargallo‐Peiró Adrià Quintanas‐Corominas Antonio G. Sabato Marc Torrell Albert Tarancón Daniel Mira International Journal for Numerical Methods in Engineering ABSTRACT This work presents a discretization strategy based on the Continuous Galerkin (CG) formulation with a new Adaptative Mesh Refinement (AMR) strategy to simulate Direct Steam Internal Reforming Solid Oxide Fuel Cells (DIR‐SOFC). The governing equations used in the proposed methodology are based on Ohm's law for the electrochemical potentials at each conductive phase and the Dusty Gas Model (DGM) for species diffusion, assuming uniform and constant temperature and pressure. The reactions induced in the different regions of the domain (electrolyte, anode, and cathode) result in sharp variations of the solution on the different interfaces that need to be properly captured. Thus, to enhance the simulation accuracy and efficiency, a new AMR strategy is proposed, refining the mesh according to the error estimators of the potentials. Additionally, a novel iterative approach to accurately approximate the concentration polarization in the anode by employing the Bulter–Volmer equations is also presented for the Direct Internal Reforming (DIR). Finally, we present several examples to validate and assess the capabilities of this formulation and validate the numerical results with reference examples. Furthermore, a parametric analysis is conducted to investigate the impact of temperature and cell current on potentials, chemical composition, and fuel cell efficiency. 10.1002/nme.70310 http://onlinelibrary.wiley.com/termsAndConditions#vor
doi_str_mv 10.1002/nme.70310
format Artículo Open Access
id wiley_oa_10_1002_nme_70310
institution Wiley Open Access
license_str_mv http://onlinelibrary.wiley.com/termsAndConditions#vor
publishDate 2026
publisher Wiley
record_format wiley_oa
spellingShingle An Adaptive Numerical Framework for the Electro‐Chemical Transport in Direct Internal Reforming Solid Oxide Fuel Cells (DIR‐SOFC)
Albert Costa‐Solé
Abel Gargallo‐Peiró
Adrià Quintanas‐Corominas
Antonio G. Sabato
Marc Torrell
Albert Tarancón
Daniel Mira
International Journal for Numerical Methods in Engineering
An Adaptive Numerical Framework for the Electro‐Chemical Transport in Direct Internal Reforming Solid Oxide Fuel Cells (DIR‐SOFC) Albert Costa‐Solé Abel Gargallo‐Peiró Adrià Quintanas‐Corominas Antonio G. Sabato Marc Torrell Albert Tarancón Daniel Mira International Journal for Numerical Methods in Engineering ABSTRACT This work presents a discretization strategy based on the Continuous Galerkin (CG) formulation with a new Adaptative Mesh Refinement (AMR) strategy to simulate Direct Steam Internal Reforming Solid Oxide Fuel Cells (DIR‐SOFC). The governing equations used in the proposed methodology are based on Ohm's law for the electrochemical potentials at each conductive phase and the Dusty Gas Model (DGM) for species diffusion, assuming uniform and constant temperature and pressure. The reactions induced in the different regions of the domain (electrolyte, anode, and cathode) result in sharp variations of the solution on the different interfaces that need to be properly captured. Thus, to enhance the simulation accuracy and efficiency, a new AMR strategy is proposed, refining the mesh according to the error estimators of the potentials. Additionally, a novel iterative approach to accurately approximate the concentration polarization in the anode by employing the Bulter–Volmer equations is also presented for the Direct Internal Reforming (DIR). Finally, we present several examples to validate and assess the capabilities of this formulation and validate the numerical results with reference examples. Furthermore, a parametric analysis is conducted to investigate the impact of temperature and cell current on potentials, chemical composition, and fuel cell efficiency. 10.1002/nme.70310 http://onlinelibrary.wiley.com/termsAndConditions#vor
title An Adaptive Numerical Framework for the Electro‐Chemical Transport in Direct Internal Reforming Solid Oxide Fuel Cells (DIR‐SOFC)
topic International Journal for Numerical Methods in Engineering
url https://onlinelibrary.wiley.com/doi/10.1002/nme.70310