CFD modelling and experimental validation of cell performance in a 3-D planar SOFC

Tikiz, İsmet; Taymaz, İmdat; Pehlivan, Hüseyin

doi:10.1016/j.ijhydene.2019.04.152

Cited by 34 publications

(12 citation statements)

References 34 publications

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“…In the porous media, the continuity conservation equation ( 4) and the Darcy-Brinkmann equation ( 6) are used to model velocity and pressure fields in both anode and cathode. In the fuel and air channels, coincides with , while in the porous media, the effective binary diffusivity is computed by the Equation (9). Electrochemical reactions take place at the three-phase-boundary (TPB), therefore the source terms are expressed accordingly to Faraday's law by the Equation (10).…”

Section: Mathematical Modelmentioning

confidence: 99%

“…SOFC is one of the promising types of the fuel cell that generally operates at high temperatures ranging from 873 to 1,273 K [4][5][6]. There are many different kinds of SOFC, according to the configuration, which can be divided into planar type SOFC, tubular type SOFC, Mono-block-layer-built (MOLB) type SOFC, the segmented-in-plane type SOFC and so on [7][8][9]. The advantage of a planar SOFC is its low electrical resistance, its simplicity in fabrication, low cost, easy assembly of stack, and high efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Detailed comparison of the performance between a simple and a modified mono-block-layer-built type solid oxide fuel cell

et al. 2022

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A detailed comparison of the performance between a simple Mono-Block-Layer-Build (MOLB) type Solid Oxide Fuel Cell (SOFC) geometry and a MOLB type SOFC with an embedded porous pipe in the air supply channel is carried out. The study considers constant and variable porosities along the porous pipe, fed with an airflow in a counter-flow arrangement. Four cases are analyzed: a) without the porous pipe, b) with a pipe of constant porosity, c) with two different porosities, and d) with four variable porosities. This work is based in a three-dimensional Computational Fluid Dynamics (CFD) model that considers the phenomena of mass transfer, heat transfer, species transport and electrochemical reactions. Detailed comparisons of the voltage, temperature and species concentration are illustrated. The electrode-electrolyte interface contours of species concentration, temperature and electric fields are compared. The results show that there is approximately twice the current density in the geometry that considers the two different porosities compared to the simple geometry. The consumption of hydrogen has the same behavior for the entire tested current density, while the availability of oxygen at the cathode-electrolyte interface is improved in cases with porous pipe compared to the simple MOLB-type geometry. The use of a porous pipe embedded in the air channel showed that it is possible to have a wider operating range of a MOLB-type SOFC, and allowed to obtain a more homogeneous temperature distribution on the electrode-electrolyte interface of the SOFC, consequently, there is the possibility of reducing the thermal stress in the SOFC.

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Section: Mathematical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Detailed comparison of the performance between a simple and a modified mono-block-layer-built type solid oxide fuel cell

et al. 2022

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“…One method is a data-driven approach, which constructs fuel cell models using machine learning techniques such as artificial neural network (ANN) and support vector machine (SVM). [11][12][13][14] The other method is a model-based approach, in which the fuel cell models are built from physical equations such as the Nernst equation or Butler-Volmer equation [15][16][17]. The data-driven approach has the advantage of providing a powerful tool that can simulate the complex and nonlinear characteristics of the fuel cells through data.…”

Section: Introductionmentioning

confidence: 99%

A Study of Anode-Supported Solid Oxide Fuel Cell Modeling and Optimization Using Neural Network and Multi-Armed Bandit Algorithm

Song

Lee

et al. 2020

Energies

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Anode-supported solid oxide fuel cells (SOFCs) model based on artificial neural network (ANN) and optimized design variables were modeled. The input parameters of the anode-supported SOFC model developed in this study are as follows: current density, temperature, electrolyte thickness, anode thickness, anode porosity, and cathode thickness. Voltage was estimated from the SOFC model with the input parameters. Numerical results show that the SOFC model constructed in this study can represent the actual SOFC characteristics very well. There are four design parameters to be optimized: electrolyte, anode, cathode thickness, and anode porosity. To derive the optimal combination of the design parameters, we have used a multi-armed bandit algorithm (MAB), and developed a methodology for deriving near-optimal parameter set without searching for all possible parameter sets.

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“…However, such extended CFD models are not yet state of the art. At present, CFD models are one of the most important tools in design and development of modern electrochemical devices, such as electrolyzers [1,2], membrane reactors [3,4], solid oxide fuel cells and PEM fuel cells [5][6][7]. Currently, the CFD models are considered as virtual sensors and are used to observe local processes and effects inside the cells.…”

Section: Introductionmentioning

confidence: 99%

CFD Simulation of an Industrial PEM Fuel Cell with Local Degradation Effects

et al. 2020

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The polymer electrolyte membrane (PEM) fuel cell model of a commercial software package is presented. The basic performance model is extended by two chemical degradation effects: ionomer degradation and carbon corrosion including platinum oxidation. The ionomer degradation model describes the ionomer mass loss due to hydrogen peroxide formation and subsequent attack of the ionomer by radicals. The carbon corrosion model calculates the carbon mass loss caused by carbon oxidation and the active area reduction due to platinum oxidation. The degradation models are coupled with an agglomerate model of the catalyst layer. The model is validated against measurements on an industrial cell. For these measurements, the cell is equipped with a segmented measuring board, which is used to measure the current density distribution and high frequency resistance of every segment. In order to test the predictability of the model under different operating conditions, measurements for stoichiometry and pressure variations are carried out. Calculated and measured current density distributions of the cell, aged by an accelerated stress test, are compared for the validation of the degradation model. Moreover, 3D simulation results of the fresh and aged cells are analyzed in detail and the influence of operating conditions on fuel cell aging is pointed out.

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CFD modelling and experimental validation of cell performance in a 3-D planar SOFC

Cited by 34 publications

References 34 publications

Detailed comparison of the performance between a simple and a modified mono-block-layer-built type solid oxide fuel cell

Detailed comparison of the performance between a simple and a modified mono-block-layer-built type solid oxide fuel cell

A Study of Anode-Supported Solid Oxide Fuel Cell Modeling and Optimization Using Neural Network and Multi-Armed Bandit Algorithm

CFD Simulation of an Industrial PEM Fuel Cell with Local Degradation Effects

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