Three-dimensional computational fluid dynamics modelling and experimental validation of the Jülich Mark-F solid oxide fuel cell stack

Nishida, Robert T.; Beale, Steven; Pharoah, Jon G.; Haart, L.G.J. de; Blum, Ludger

doi:10.1016/j.jpowsour.2017.10.030

Cited by 60 publications

(32 citation statements)

References 55 publications

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“…There are 3 different mesh as shown in Figure 3. The numerical solutions of the fully couple equations (1) - (6) and all boundary conditions are obtained by Comsol Multiphysics. Numerical simulation of the hexahedral elements are shown in Figure 4.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…where J denotes the current density vector in the electrolyte, Q can be any source or sink. Navier-Stokes equations for describing the flow in open regions, and the Brinkman equations for the flow in porous regions are shown in equations (3)- (6).…”

Section: Governing Equationsmentioning

confidence: 99%

“…Over the last decade, the number of research in solid oxide fuel has been carried out with various investigation [2,6,7] . In 2006, Bove and Ubertini [1] investigated the phenomena in each component of solid oxide fuel cell using a three-dimensional, time-dependent numerical model.…”

Section: Introductionmentioning

confidence: 99%

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Numerical simulation of solid oxide fuel cell: mesh sensitivity analysis

Chaisena¹,

Srimongkol²

2018

ams

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Due to environmental problem from using energy and the fuel fossil is dramatic decreasing from human usage. The alternative renewal energy is maybe the solution. Solid oxide fuel cell is a fuel cell normally using yttrium stabilized zirconia (YSZ). The cost for this fuel cell is now very expensive. Therefore, the mathematical simulation is crucial. Governing equations consist of Maxwell -Stefan equations for chemical transport, current balance equations, and Brinkman equations for flow in porous media. The numerical simulation is then solved with appropriate boundary conditions. However, the verification of the solution is very important. In this research, the mesh sensitivity analysis is performed. The results show that the solutions from three different mesh are closed to each others. It is indicated that the solutions corresponding to mesh sensitivity analysis. Mathematics Subject Classification: 65G99

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Governing Equationsmentioning

confidence: 99%

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Numerical simulation of solid oxide fuel cell: mesh sensitivity analysis

Chaisena¹,

Srimongkol²

2018

ams

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“…For heat transfer, the assumption commonly made is that the radiation effect in the stack is negligible [16]. Considering that heat transfer occurring in SOFC is significantly in conduction or convection mode, the effect of radiation is usually not considered during simulation, especially in planar SOFCs as the amount is comparatively smaller [22][23][24][25][26].…”

Section: Assumptions In Sofc Modelingmentioning

confidence: 99%

A short review on the modeling of solid-oxide fuel cells by using computational fluid dynamics: assumptions and boundary conditions

Aman

Muchtar²,

Somalu

et al. 2018

IJIE

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Performance tests are vital for the development of solid-oxide fuel cells (SOFCs) and can help determine the potential of developed SOFCs. However, the challenges in performing these tests such as cost, time, and safety limit the development of SOFCs. Computational fluid dynamics (CFD) can be used to numerically predict the performance of developed SOFCs. CFD methods enable the exploration of many design and operational parameters that are difficult to assess experimentally. This paper focuses on the assumptions and boundary conditions used to model the SOFC stack by using a CFD method. Through the discussions, we briefly explain several assumptions that are commonly found in SOFC modeling. These assumptions are important because they can influence the modeling processes and parameters required for simulations. The boundary conditions required for SOFC modeling are then described to provide an overview on how SOFC operations are incorporated into the model and simulations. Our results can help elucidate the significance of assumptions and boundary conditions used in the CFD modeling of SOFCs

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“…In [13], a new 3D finite element algorithm based on a detailed mathematical model for fuel cells and on the fully explicit artificial compressibility characteristic-based split scheme was employed to effectively and efficiently model the heat and mass transport phenomena coupled with electrochemical reactions in SOFC. The calculation results in [14] for the voltage and temperature distributions of a 3D computational fluid dynamics model were compared with the results of an experimental program with data for an 18-cell stack. This work is among the first to compare physical experiments with a comprehensive SOFC stack model.…”

Section: Introductionmentioning

confidence: 99%

Control System Based on Anode Offgas Recycle for Solid Oxide Fuel Cell System

Zhan

Yang

2018

Mathematical Problems in Engineering

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The conflicting operation objectives between rapid load following and the fuel depletion avoidance as well as the strong interactions between the thermal and electrical parameters make the SOFC system difficult to control. This study focuses on the design of the decoupling control for the thermal and electrical characteristics of the SOFC system through anode offgas recycling (AOR). The decoupling control system can independently manipulate the thermal and electrical parameters, which interact with one another in most cases, such as stack temperatures, burner temperature, system current, and system power. Under the decoupling control scheme, the AOR is taken as a manipulation variable. The burner controller maintains the burner temperature without being affected by abrupt power change. The stack temperature controller properly coordinates with the burner temperature controller to independently modulate the stack thermal parameters. For the electrical problems, the decoupling control scheme shows its superiority over the conventional controller in alleviating rapid load following and fuel depletion avoidance. System-level simulation under a power-changing case is performed to validate the control freedom between the thermal and electrical characteristics as well as the stability, efficiency, and robustness of the novel system control scheme.

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Three-dimensional computational fluid dynamics modelling and experimental validation of the Jülich Mark-F solid oxide fuel cell stack

Cited by 60 publications

References 55 publications

Numerical simulation of solid oxide fuel cell: mesh sensitivity analysis

Numerical simulation of solid oxide fuel cell: mesh sensitivity analysis

A short review on the modeling of solid-oxide fuel cells by using computational fluid dynamics: assumptions and boundary conditions

Control System Based on Anode Offgas Recycle for Solid Oxide Fuel Cell System

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