Comparison of equilibrium-based and kinetics-based models for evaluating the impact of hydrogen carrier reforming on SOFC system

• The applications of EBM and KBM in modelling the external reformer of an SOFC system are compared. • The conditions at which each modelling approach can be applied are identified. • KBM predicts higher sensitivity to temperature and pressure variations. • EBM is suitable for quick assessments and equilibrium-dominant scenarios. This paper evaluates the computational risks of using Equilibrium-Based Models (EBMs) and Kinetics-Based Models (KBMs) interchangeably for simulating the external reformer in Solid Oxide Fuel Cell (SOFC) Balance of Plant (BoP). Various reforming processes, including steam reforming, partial oxidation, and autothermal reforming of hydrocarbons are assessed. The study systematically investigates the effect of reformers operating parameters, such as temperature, pressure, steam-to-carbon ratio, and oxygen-to-carbon ratio, on SOFC performance captured by EBM and KBM. In contrast to EBM, the KBM consistently provided a more detailed and accurate measures of system behaviour. This is more evident, especially under conditions where reaction kinetics play a crucial role, such as in high-pressure scenarios or significant variations in the steam-to-carbon ratio. The KBM captured the details of reaction kinetics and mass transfer limitations that the EBM, with its inherent assumption of near-instantaneous equilibrium, could not fully replicate. While EBM is computationally effective for minimising modelling complexity/time at the system level, it has limitations in scenarios that require detailed reaction kinetics due to the nature of reaction or fuel mixture. EBM and KBM results deviations are quantified to identify regions where these risks are either significant or tolerable.

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Publication Details

Journal
Energy Conversion and Management
Published
2025-03-15
DOI
https://doi.org/10.1016/j.enconman.2025.119733
Citations
5
Primary Topic
Advancements in Solid Oxide Fuel Cells
Type
article
Field-Weighted Citation Impact
2.59

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article

Comparison of equilibrium-based and kinetics-based models for evaluating the impact of hydrogen carrier reforming on SOFC system

Robert Steinberger‐Wilckens, Amirpiran Amiri, K. Mohammed, Neda Azimi et al.
5 citations
Energy Conversion and Management
Advancements in Solid Oxide Fuel Cells
2.59
article

Comparison of equilibrium-based and kinetics-based models for evaluating the impact of hydrogen carrier reforming on SOFC system

Robert Steinberger‐Wilckens, Amirpiran Amiri, K. Mohammed, Neda Azimi, Clyde-Theodore N. Batista
article en
5 citations

Abstract

• The applications of EBM and KBM in modelling the external reformer of an SOFC system are compared. • The conditions at which each modelling approach can be applied are identified. • KBM predicts higher sensitivity to temperature and pressure variations. • EBM is suitable for quick assessments and equilibrium-dominant scenarios. This paper evaluates the computational risks of using Equilibrium-Based Models (EBMs) and Kinetics-Based Models (KBMs) interchangeably for simulating the external reformer in Solid Oxide Fuel Cell (SOFC) Balance of Plant (BoP). Various reforming processes, including steam reforming, partial oxidation, and autothermal reforming of hydrocarbons are assessed. The study systematically investigates the effect of reformers operating parameters, such as temperature, pressure, steam-to-carbon ratio, and oxygen-to-carbon ratio, on SOFC performance captured by EBM and KBM. In contrast to EBM, the KBM consistently provided a more detailed and accurate measures of system behaviour. This is more evident, especially under conditions where reaction kinetics play a crucial role, such as in high-pressure scenarios or significant variations in the steam-to-carbon ratio. The KBM captured the details of reaction kinetics and mass transfer limitations that the EBM, with its inherent assumption of near-instantaneous equilibrium, could not fully replicate. While EBM is computationally effective for minimising modelling complexity/time at the system level, it has limitations in scenarios that require detailed reaction kinetics due to the nature of reaction or fuel mixture. EBM and KBM results deviations are quantified to identify regions where these risks are either significant or tolerable.

Energy Conversion and ManagementVol. 332
Razi University (IR), Aston University (GB), The Edgbaston Hospital (GB), University of Birmingham (GB)
Engineering and Physical Sciences Research Council, Research England
Openalex Percentile: Top 11%
Advancements in Solid Oxide Fuel Cells
2.59
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