Mathematical approaches to modelling the mass transfer process in solid oxide fuel cell anode

Błesznowski, Marcin; Sikora, Monika; Kupecki, Jakub; Makowski, Łukasz; Orciuch, Wojciech

doi:10.1016/j.energy.2021.121878

Cited by 26 publications

(11 citation statements)

References 36 publications

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“…Multiple publications compared the different diffusion models concerning their capability to predict gas phase mass transport in porous electrodes [136,157,[169][170][171].…”

Section: Mass Transportmentioning

confidence: 99%

High Temperature Solid Oxide Electrolysis – Technology and Modeling

Mueller,

Klinsmann,

Sauter

et al. 2023

Chemie Ingenieur Technik

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In the global quest to renounce from fossil fuels, a large demand for the renewable production of hydrogen via water electrolysis exists. In this context, the solid oxide electrolyzer (SOE) is an interesting technology due to its high efficiency resulting from elevated operating temperatures of up to 900 °C. Physical modeling plays a vital role in the development of SOEs, as it lowers experimental costs and provides insight where measurements reach limits. A main challenge for modeling SOEs is the multitude of physical effects, occurring and interacting on various spatial and temporal scales. This requires assumptions and simplifications, particularly when increasing scope and dimensions of a model. In this review, we discuss the different approaches currently available in literature.

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“…Multiple publications compared the different diffusion models concerning their capability to predict gas phase mass transport in porous electrodes [136,157,[169][170][171].…”

Section: Mass Transportmentioning

confidence: 99%

High Temperature Solid Oxide Electrolysis – Technology and Modeling

Mueller,

Klinsmann,

Sauter

et al. 2023

Chemie Ingenieur Technik

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“…One of the parameters that have been used to monitor the functioning of the fuel cells is the hydrogen mass fraction. The species mass fraction in a fuel cell is calculated as the mass of the species that are presently divided by the mass of all the species in the mixture [6]. Since hydrogen is the species of fuel gas then the species mass fraction investigated in this study was hydrogen.…”

Section: Introductionmentioning

confidence: 99%

Computational fluid dynamics study of Y³⁺-doped Ba(Ce,Zr)O₃ based single channel proton ceramic fuel cell

Malik

Missnan²,

Hassan³

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Theoretical studies using Computational Fluid Dynamics (CFD) modeling have been established in the field of polymer electrolyte membrane fuel cells (PEMFCs) and oxygen ion solid oxide fuel cells (O2-SOFCs). However, its implementation in the proton ceramic fuel cell (PCFC) development is still in progress and very limited literature can be found. Thus, in this simulation study, ANSYS 2022 CFD software has been employed to predict hydrogen mass fraction distribution and power density of a single-channel PCFC operating in 100 % hydrogen fuel. This simulation utilized input data based on previously published experimental works. The mass fraction of H2 was 0.0 at the cathode area indicating that the electrolyte layer is fully dense and no leakage of H2 from the anode area into the cathode area. The maximum power density in 100 % H2 was 0.34 W/cm2 at 800° C. This is in agreement with the power density produced by the in-house fabricated button cell with the configuration of NiO-BCZY|BCZY|LSCF (BCZY=BaCe0.54Zr0.36Y0.1O2.95, LSCF=La0.6Sr0.4Co0.2Fe0.8O3-δ.) that showed a maximum power density of 0.33W/cm2 in 100 % H2. This analysis will contribute to insight information on the relationship between fuel mass fraction distribution and fuel cell performance for future improvements in the field of PCFC.

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“…A Modified Fickian model (MFM) may be obtained by using the effective Fickian diffusion coefficient in the standard or extended model (Bao et al, 2016). Another way to obtain a differently modified form of Fickian model is to include the effects of surface diffusion using exponential weighted average (Błesznowski et al, 2022;Gholaminezhad et al, 2017). However, a major drawback of this method surfaces when the activation energy of adsorption and surface diffusion coefficients are applied as fitting parameters.…”

Section: Introductionmentioning

confidence: 99%

“…However, a major drawback of this method surfaces when the activation energy of adsorption and surface diffusion coefficients are applied as fitting parameters. This renders the modelling results applicable to a particular reaction only (Błesznowski et al, 2022). The Stefan-Maxwell model (SMM) is easy to apply and overcomes the limitation of the FM.…”

Section: Introductionmentioning

confidence: 99%

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Chemical and Process Engineering

2022

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The mathematical approach to SOFC modelling helps to reduce dependence on the experimental approach. In the current study, six different diffusion mass transfer models were compared to more accurately predict the process behavior of fuel and product diffusion for SOFC anode. The prediction accuracy of the models was extensively studied over a range of parameters. New models were included as compared to previous studies. The Knudsen diffusion phenomenon was considered in all the models. The stoichiometric flux ratio approach was used. All the models were validated against experimental data for a binary (CO-CO 2 ) and a ternary fuel system (H 2 -H 2 O-Ar). For ternary system, the pressure gradient is important for pore radius below 0.6 µm and current density above 0.5 A/cm 2 . For binary system, the pressure gradient may be ignored. The analysis indicates that the MBFM is identified to be the best performing and versatile model under critical SOFC operating conditions such as fuel composition and cell temperature. The diffusive slip phenomenon included in MBFM is useful in SOFC operating conditions when fuel contains heavy molecules. The DGMFM is a good approximation of DGM for the binary system.

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Mathematical approaches to modelling the mass transfer process in solid oxide fuel cell anode

Cited by 26 publications

References 36 publications

High Temperature Solid Oxide Electrolysis – Technology and Modeling

High Temperature Solid Oxide Electrolysis – Technology and Modeling

Computational fluid dynamics study of Y³⁺-doped Ba(Ce,Zr)O₃ based single channel proton ceramic fuel cell

Chemical and Process Engineering

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Mathematical approaches to modelling the mass transfer process in solid oxide fuel cell anode

Cited by 26 publications

References 36 publications

High Temperature Solid Oxide Electrolysis – Technology and Modeling

High Temperature Solid Oxide Electrolysis – Technology and Modeling

Computational fluid dynamics study of Y3+-doped Ba(Ce,Zr)O3 based single channel proton ceramic fuel cell

Chemical and Process Engineering

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Computational fluid dynamics study of Y³⁺-doped Ba(Ce,Zr)O₃ based single channel proton ceramic fuel cell