A fully-homogenized multiphysics model for a reversible solid oxide cell stack

Maria Navasa, Xing-Yuan Miao, Henrik Lund Frandsen*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

In electrochemical devices such as solid oxide cell stacks, many physical phenomena are interacting on many different length scales in an intricate geometry. Modeling is a strong tool to understand the interior of such devices during operation, enhance their design and investigate long-term response (degradation). Computations can however be challenging as the many geometric details and coupled physical phenomena require a significant computational power, and in some cases, even state-of-the-art clusters will not be sufficient. This hinders the use of the models for the further development of the technology. In this work, we present an original type of solid oxide cell stack model, which is highly computationally efficient, resulting in computations which are two orders of magnitude faster than the conventional type of stack models with all geometric details explicitly represented. In the model presented here, the geometric details are implicitly represented by using the so-called homogenization. The resulting homogeneous anisotropic media provides the correct overall response (temperature, species, molar fractions, etc.). Local details as the mechanical stress in the electrolyte are not represented explicitly. These can be retrieved by localization through sub-models (multiscale model), in some cases without loss of computational efficiency, as demonstrated.
Original languageEnglish
JournalInternational Journal of Hydrogen Energy
Volume44
Issue number41
Pages (from-to)23330-23347
ISSN0360-3199
DOIs
Publication statusPublished - 2019

Keywords

  • Solid oxide cell
  • Multiphysics
  • Stack modeling
  • Homogenization
  • Computational efficiency
  • Multiscale model

Cite this

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title = "A fully-homogenized multiphysics model for a reversible solid oxide cell stack",
abstract = "In electrochemical devices such as solid oxide cell stacks, many physical phenomena are interacting on many different length scales in an intricate geometry. Modeling is a strong tool to understand the interior of such devices during operation, enhance their design and investigate long-term response (degradation). Computations can however be challenging as the many geometric details and coupled physical phenomena require a significant computational power, and in some cases, even state-of-the-art clusters will not be sufficient. This hinders the use of the models for the further development of the technology. In this work, we present an original type of solid oxide cell stack model, which is highly computationally efficient, resulting in computations which are two orders of magnitude faster than the conventional type of stack models with all geometric details explicitly represented. In the model presented here, the geometric details are implicitly represented by using the so-called homogenization. The resulting homogeneous anisotropic media provides the correct overall response (temperature, species, molar fractions, etc.). Local details as the mechanical stress in the electrolyte are not represented explicitly. These can be retrieved by localization through sub-models (multiscale model), in some cases without loss of computational efficiency, as demonstrated.",
keywords = "Solid oxide cell, Multiphysics, Stack modeling, Homogenization, Computational efficiency, Multiscale model",
author = "Maria Navasa and Xing-Yuan Miao and Frandsen, {Henrik Lund}",
year = "2019",
doi = "10.1016/j.ijhydene.2019.06.077",
language = "English",
volume = "44",
pages = "23330--23347",
journal = "International Journal of Hydrogen Energy",
issn = "0360-3199",
publisher = "Elsevier",
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A fully-homogenized multiphysics model for a reversible solid oxide cell stack. / Navasa, Maria; Miao, Xing-Yuan; Frandsen, Henrik Lund.

In: International Journal of Hydrogen Energy, Vol. 44, No. 41, 2019, p. 23330-23347.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - A fully-homogenized multiphysics model for a reversible solid oxide cell stack

AU - Navasa, Maria

AU - Miao, Xing-Yuan

AU - Frandsen, Henrik Lund

PY - 2019

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N2 - In electrochemical devices such as solid oxide cell stacks, many physical phenomena are interacting on many different length scales in an intricate geometry. Modeling is a strong tool to understand the interior of such devices during operation, enhance their design and investigate long-term response (degradation). Computations can however be challenging as the many geometric details and coupled physical phenomena require a significant computational power, and in some cases, even state-of-the-art clusters will not be sufficient. This hinders the use of the models for the further development of the technology. In this work, we present an original type of solid oxide cell stack model, which is highly computationally efficient, resulting in computations which are two orders of magnitude faster than the conventional type of stack models with all geometric details explicitly represented. In the model presented here, the geometric details are implicitly represented by using the so-called homogenization. The resulting homogeneous anisotropic media provides the correct overall response (temperature, species, molar fractions, etc.). Local details as the mechanical stress in the electrolyte are not represented explicitly. These can be retrieved by localization through sub-models (multiscale model), in some cases without loss of computational efficiency, as demonstrated.

AB - In electrochemical devices such as solid oxide cell stacks, many physical phenomena are interacting on many different length scales in an intricate geometry. Modeling is a strong tool to understand the interior of such devices during operation, enhance their design and investigate long-term response (degradation). Computations can however be challenging as the many geometric details and coupled physical phenomena require a significant computational power, and in some cases, even state-of-the-art clusters will not be sufficient. This hinders the use of the models for the further development of the technology. In this work, we present an original type of solid oxide cell stack model, which is highly computationally efficient, resulting in computations which are two orders of magnitude faster than the conventional type of stack models with all geometric details explicitly represented. In the model presented here, the geometric details are implicitly represented by using the so-called homogenization. The resulting homogeneous anisotropic media provides the correct overall response (temperature, species, molar fractions, etc.). Local details as the mechanical stress in the electrolyte are not represented explicitly. These can be retrieved by localization through sub-models (multiscale model), in some cases without loss of computational efficiency, as demonstrated.

KW - Solid oxide cell

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KW - Stack modeling

KW - Homogenization

KW - Computational efficiency

KW - Multiscale model

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