A Degradation Model for Solid Oxide Fuel Cell Anodes Due to Impurities in Coal Syngas: Part II Estimation of Tolerance Limits

Cayan, Fatma N.; Sezer, Hayri

doi:10.1002/fuce.201500056

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…The in-house developed multiphysics simulation is designed to be robust for prediction of interaction between anode materials with different types of contaminants (e.g., PH 3 , H 2 S, H 2 Se, AsH 3 , HCl, and user-defined contaminant element). With the model parameters calibrated in the previous study, the performance of the tubular SOFCs with different levels/types of contaminants is predicted (18)(19)(20)(21)(22)(23)(24).…”

Section: Impact Of Contaminantsmentioning

confidence: 99%

“…Recently, numerical models were also developed to simulate the performance of SOFCs with coal syngas, which helps reduce the time cost of the long-term experiments for coal syngas with low amounts of contaminants. A one-dimensional (1D) model for button cell application was developed and calibrated with experimental datasets for various contaminants (18)(19)(20)(21)(22). In this model, the contaminants were assumed to be adsorbed on the anode surface and form secondary phases.…”

Section: Introductionmentioning

confidence: 99%

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Multiphysics Simulation for the Performance of Tubular Solid Oxide Fuel Cells Operated on Coal Syngas

Yang¹,

Abernathy²,

Zhong³

et al. 2023

ECS Trans.

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Solid oxide fuel cells (SOFCs) can be operated directly on coal syngas, but the various contaminants in coal syngas affect the performance and durability of the device. In the present study, three-dimensional multiphysics simulations were developed to investigate the performance degradation of tubular SOFCs operated on coal syngas. The numerical model includes charge conservation, species transport within the electrodes/channels, and heat transfer within the device. These physical processes are coupled by the chemical/electrochemical reactions, which are represented by a Butler-Volmer type formula. Based on the thermodynamic database of impurity interactions with the Ni-YSZ composite anode, the contaminants are assumed to be adsorbed on the anode surface and form secondary phases. These formed phases affect the microstructural properties, electrical conductivity, and the number of active sites for electrochemical reactions. During the operation, the contaminants diffuse from the channel/anode interface to the anode/electrolyte interface, causing further irreversible degradation. The in-house developed multiphysics simulation is robust for prediction of interaction between anode materials with different types of contaminants (e.g., PH3, H2S, AsH3, etc.). With the calibrated model parameters, the performance of the tubular SOFCs with different levels/types of contaminants is predicted. The tolerance limits of the cells are also predicted. Furthermore, the degradation resulted from Ni redistribution, are also implemented into the model to mimic the performance of realistic SOFCs operating on coal syngas. The performance degradation investigation in this study provides guidance for experimental testing with syngas exposure, which is eventually beneficial to the cost reduction of the coal syngas clean-up technology.

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Section: Impact Of Contaminantsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiphysics Simulation for the Performance of Tubular Solid Oxide Fuel Cells Operated on Coal Syngas

Yang¹,

Abernathy²,

Zhong³

et al. 2023

ECS Trans.

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“…The effects of infiltration process are mainly investigated via experiments (11,12,13,14,15,16,17). In our previous study, we have developed a physics-based simulation tool for overall analysis of SOFCs performance (18). This simulation tool combines experiments, empirical polarization analysis, and multi-physics numerical simulations.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Infiltration via Multi-Physics Simulation Tool with Realistic Microstructure Properties

et al. 2015

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Infiltration is a potential method to improve the performance of SOFCs. The purpose of this study is to investigate the effects of infiltration via multi-physics simulation tools with realistic microstructure properties. The physics-based simulation tool is developed to extract the properties of fuel cells based on the measured polarization curves and impedance behavior for different fuel/air utilization cases, which has been verified in our previous work. Furthermore, we incorporate the microstructure properties distribution within the electrodes of realistic SOFC. These structural properties are either obtained from experiments (e.g. volume fraction) or calculated based on percolation theory (e.g. interface area, length of triple phase boundary, etc.). In this study, we apply the previously developed simulation tool to analyze both the baseline button cell and the one with infiltrated cathode. The performances of both cells are predicted with the multi-physics numerical simulation and compared against experimental data. In addition, the performances of baseline cell and cathode-infiltrated cell with working loads are predicted. Finally, the properties of both cells are extracted and compared to show the effects of infiltration. The results will help us better understand and improve the infiltration processes.

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Three-dimensional modeling of performance degradation of planar SOFC with phosphine exposure

Sezer

Mason

Yang

2021

International Journal of Hydrogen Energy

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A Degradation Model for Solid Oxide Fuel Cell Anodes Due to Impurities in Coal Syngas: Part II Estimation of Tolerance Limits

Cited by 3 publications

References 11 publications

Multiphysics Simulation for the Performance of Tubular Solid Oxide Fuel Cells Operated on Coal Syngas

Multiphysics Simulation for the Performance of Tubular Solid Oxide Fuel Cells Operated on Coal Syngas

Investigation of Infiltration via Multi-Physics Simulation Tool with Realistic Microstructure Properties

Three-dimensional modeling of performance degradation of planar SOFC with phosphine exposure

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