A three-dimensional heterogeneity analysis of electrochemical energy conversion in SOFC anodes using electron nanotomography and mathematical modeling

Prokop, Tomasz A.; Berent, Katarzyna; Szmyd, Janusz S.; Brus, Grzegorz

doi:10.1016/j.ijhydene.2018.04.023

Cited by 42 publications

(35 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The phase interface area in the case of the cathode was computed using the marching cube method. For details regarding microstructure quantification, see our previous articles [27,28].…”

Section: Microstructure Quantificationmentioning

confidence: 99%

“…The comparison, shown in Figure 2, was performed for a number of cases, and a microstructure with parameters compiled in Table 3. For further details, please see our previous work [27]. The boundary conditions for a given electrode are explained in Table 4.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Table 3. Microstructure parameters of the electrode used in the falsification attempt [27]. triple phase boundary (TPB).…”

Section: Mathematical Modelmentioning

confidence: 99%

See 2 more Smart Citations

A Three-Dimensional Microstructure-Scale Simulation of a Solid Oxide Fuel Cell Anode—The Analysis of Stack Performance Enhancement After a Long-Term Operation

et al. 2019

Self Cite

View full text Add to dashboard Cite

In this research, we investigate the connection between an observed enhancement in solid oxide fuel cell stack performance and the evolution of the microstructure of its electrodes. A three dimensional, numerical model is applied to predict the porous ceramic-metal electrode performance on the basis of microstructure morphology. The model features a non-continuous computational domain based on the digital reconstruction obtained using focused ion beam scanning electron microscopy (FIB-SEM) electron nanotomography. The Butler–Volmer equation is used to compute the charge transfer at reaction sites, which are modeled as distinct locally distributed features of the microstructure. Specific material properties are accounted for using interpolated experimental data from the open literature. Mass transport is modeled using the extended Stefan–Maxwell model, which accounts for both the binary, and the Knudsen diffusion phenomena. The simulations are in good agreement with the experimental data, correctly predicting a decrease in total losses for the observed microstructure evolution. The research supports the hypothesis that the performance enhancement was caused by a systematic change in microstructure morphology.

show abstract

“…The phase interface area in the case of the cathode was computed using the marching cube method. For details regarding microstructure quantification, see our previous articles [27,28].…”

Section: Microstructure Quantificationmentioning

confidence: 99%

Section: Mathematical Modelmentioning

confidence: 99%

See 1 more Smart Citation

A Three-Dimensional Microstructure-Scale Simulation of a Solid Oxide Fuel Cell Anode—The Analysis of Stack Performance Enhancement After a Long-Term Operation

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…The homomorphic filter [45] with the high-and low-frequency filters (γ 1 = 0.1, γ 2 = 0. 25) and the Gaussian filter (σ = 10) is applied in order to equalize the brightness of the images (in-house script). 2.…”

Section: Segmentation Of the Microstructurementioning

confidence: 99%

“…On the other hand, the microscale models focus mainly on the analyses of the mass and charge transport within the single electrode or within the PEN (positive electrode-electrolyte-negative electrode) assembly. The microscale models employ a variety of methods, such as the models based on the finite volume solution of partial differential equations [24][25][26], the models which implement the Lattice-Boltzmann method (LBM) [27][28][29], the sub-grid scale models [30], the random resistor network models [31] or the kinetic Monte Carlo models [32]. A greater amount of modeling details allows for describing the behavior of the electrode very accurately.…”

Section: Introductionmentioning

confidence: 99%

A Multiscale Approach to the Numerical Simulation of the Solid Oxide Fuel Cell

et al. 2019

Self Cite

View full text Add to dashboard Cite

The models of solid oxide fuel cells (SOFCs), which are available in the open literature,may be categorized into two non-overlapping groups: microscale or macroscale. Recent progressin computational power makes it possible to formulate a model which combines both approaches,the so-called multiscale model. The novelty of this modeling approach lies in the combination ofthe microscale description of the transport phenomena and electrochemical reactions’ with thecomputational fluid dynamics model of the heat and mass transfer in an SOFC. In this work,the mathematical model of a solid oxide fuel cell which takes into account the averaged microstructureparameters of electrodes is developed and tested. To gain experimental data, which are used toconfirm the proposed model, the electrochemical tests and the direct observation of the microstructurewith the use of the focused ion beam combined with the scanning electron microscope technique(FIB-SEM) were conducted. The numerical results are compared with the experimental data fromthe short stack examination and a fair agreement is found, which shows that the proposed modelcan predict the cell behavior accurately. The mechanism of the power generation inside the SOFC isdiscussed and it is found that the current is produced primarily near the electrolyte–electrode interface.Simulations with an artificially changed microstructure does not lead to the correct prediction of thecell characteristics, which indicates that the microstructure is a crucial factor in the solid oxide fuelcell modeling.

show abstract

Key Parameters of Proton‐conducting Solid Oxide Fuel Cells from the Perspective of Coherence with Models

et al. 2020

View full text Add to dashboard Cite

The paper presents a review of thermal, flow, and material parameters from the perspective of modeling proton‐conducting solid oxide fuel cells (H+SOFC). Comments are offered regarding key parameters selected through research of the literature, featuring mostly material‐related properties of electrolyte and electrodes. Some general relationships are proposed here for the purpose of modeling H+SOFC. The most important parameter is fuel cell operational temperature. Next to the temperature, partial pressures of hydrogen on both sides of H+SOFC impact mainly maximum voltage. The materials from which the fuel cell is built do not directly affect the operation of the fuel cell in the sense that they can be taken as fixed values. Indirectly, their influence can be seen in the resistances, that electrolyte conducts for proton flux and electrodes for electrons. In some cases, double ion/electron conductivity may occur.

show abstract

A three-dimensional heterogeneity analysis of electrochemical energy conversion in SOFC anodes using electron nanotomography and mathematical modeling

Cited by 42 publications

References 38 publications

A Three-Dimensional Microstructure-Scale Simulation of a Solid Oxide Fuel Cell Anode—The Analysis of Stack Performance Enhancement After a Long-Term Operation

A Three-Dimensional Microstructure-Scale Simulation of a Solid Oxide Fuel Cell Anode—The Analysis of Stack Performance Enhancement After a Long-Term Operation

A Multiscale Approach to the Numerical Simulation of the Solid Oxide Fuel Cell

Key Parameters of Proton‐conducting Solid Oxide Fuel Cells from the Perspective of Coherence with Models

Contact Info

Product

Resources

About