Evaluation of SOFC anode polarization simulation using three-dimensional microstructures reconstructed by FIB tomography

Kanno, Daisuke; Shikazono, Naoki; Takagi, Norikazu; Matsuzaki, Katsuhisa; Kasagi, Nobuhide

doi:10.1016/j.electacta.2011.02.010

Cited by 136 publications

(76 citation statements)

References 23 publications

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“…Due to the capability to model gaseous, ionic and electronic transport, the LBM became widely applied in fuel cell research also with the focus of extracting tortuosity in different phases of a functional layer. 99,[120][121][122][123][124][125] For this, the LBM uses the particle distribution function (PDF) , which is a function describing the probability of encountering a particle of a species i at a certain location xPDF with a certain speed at a certain point of time t moving in a certain direction αPDF.…”

Section: Voxel Based Calculation Methodsmentioning

confidence: 99%

Tortuosity in electrochemical devices: a review of calculation approaches

Tjaden

Brett

Shearing

2016

International Materials Reviews

200

188

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The tortuosity of a structure plays a vital role in the transport of mass and charge in electrochemical devices. Concentration polarisation losses at high current densities are caused by mass transport limitations and are thus a function of microstructural characteristics. As tortuosity is notoriously difficult to ascertain, a wide and diverse range of methods has been developed to extract the tortuosity of a structure. These methods differ significantly in terms of calculation approach and data preparation techniques. Here, we review tortuosity calculation procedures applied in the field of electrochemical devices to better understand the resulting values presented in the literature. Visible differences between calculation methods are observed, especially when using porosity-tortuosity relationships and when comparing geometric and flux based tortuosity calculation approaches.

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Section: Voxel Based Calculation Methodsmentioning

confidence: 99%

Tortuosity in electrochemical devices: a review of calculation approaches

Tjaden

Brett

Shearing

2016

International Materials Reviews

200

188

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“…This is accounted for by using the structure dependent tortuosity factors and volume fractions. The effective ionic and electronic conductivity in the electrodes are defined as [21]: (20) where  is the tortuosity factors of charge transport and V the volume fraction for the specific materials, as specified in Table 2 46 were found for Ni and between 9.84 and 27.89 for YSZ, respectively, depending slightly on the evaluation methods, but mostly on the direction (x, y and z) [22]. Vivet et al [23] calculated the tortuosity in the range of 3.04 and 6.24 for Ni, and between 1.79 and 2.10 for YSZ, respectively.…”

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confidence: 99%

SOFC modeling considering hydrogen and carbon monoxide as electrochemical reactants

Andersson

Yuan

Sundén

2013

Journal of Power Sources

125

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Fuel cells are promising for future energy systems, because they are energy efficient and able to use renewable fuels. A fully coupled computational fluid dynamics (CFD) approach based on the finite element method, in twodimensions, is developed to describe a solid oxide fuel cell (SOFC). Governing equations for, gas-phase species, heat momentum, ion and electron transport are implemented and coupled to kinetics describing electrochemical and internal reforming reactions. Both carbon monoxide and hydrogen are considered as electrochemical reactants within the anode. The predicted results show that the current density distribution along the main flow direction depends on the local concentrations and temperature. A higher (local) fraction of electrochemical reactants increases the Nernst potential as well as the current density. For fuel mixtures without methane, the cathode air flow rate needs to be increased significantly to avoid high temperature gradients within the cell as well as a high outlet temperature.

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“…In the porous media, there is an increased diffusion length due to the tortuous paths of connected real pores and the coefficients are usually corrected by tortuosity factor and porosity [47]. LBM was used by Kanno et al [48] to calculate the tortuosity factors and values between 6 and 14 are found for YSZ, between 7 and 17 for Ni as well as between 2 and 2.4 for gas-phase pore transport, respectively. The random walk process of nonsorbing particles as well as the LBM method was used by Iwai et al to evaluate the tortuosity factors and values between 6.91 and 29.46 were found for Ni, between 9.84 and 27.89 for YSZ as well as between 1.78 and 2.06 for gasphase pore transport, respectively.…”

Section: Mass Transportmentioning

confidence: 99%

“…This is accounted for by using the structure-dependent tortuosity factors ( = square of tortuosity) and volume fractions (eqns (18)- (20)). The effective ionic-and electronic conductivities in the electrodes are defined as [40]:…”

Section: Ion and Electron Transport As Well As Electrochemical Reactionsmentioning

confidence: 99%

Three dimensional modeling of an solid oxide fuel cell coupling charge transfer phenomena with transport processes and heat generation

Andersson

Paradis

Yuan

et al. 2013

Electrochimica Acta

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Evaluation of SOFC anode polarization simulation using three-dimensional microstructures reconstructed by FIB tomography

Cited by 136 publications

References 23 publications

Tortuosity in electrochemical devices: a review of calculation approaches

Tortuosity in electrochemical devices: a review of calculation approaches

SOFC modeling considering hydrogen and carbon monoxide as electrochemical reactants

Three dimensional modeling of an solid oxide fuel cell coupling charge transfer phenomena with transport processes and heat generation

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