Solid Oxide Fuel Cells Modeling

Ferrero, Domenico; Lanzini, Andrea; Santarelli, Massimo

doi:10.1007/978-3-319-46146-5_8

Cited by 4 publications

(4 citation statements)

References 107 publications

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“…Fuels like H 2 , CH 4 , and CO can directly participate in the electrochemical reactions; however, in this work, it is simplified to include only H 2 as fuel participating in the electrochemical reaction: The open-circuit voltage E OCV H 2 =O 2 according to Nernst equation can be expressed as 29,31 :…”

Section: Electrochemical Modelmentioning

confidence: 99%

“…The heat capacity and heat conductivity for gas mixture can be described as in References 62,75,76. The heat source in porous electrodes includes the electrochemical reactions entropy, joule heating during charge transport as well as activation, ohmic, and concentration overpotentials 31,40 :…”

Section: Energy Balancementioning

confidence: 99%

“…It is common to set the transfer coefficient equal to αn, where α is the fraction of the electrode potential involved in the reaction. 2,[28][29][30][31][32][33] However, according to Rolando et al, 34 the transfer coefficient equals αn and is commonly set to 0.5, which may cause misinterpretation of the original meaning of the transfer coefficient. While others also use α which is the fraction of electronic charge remaining in the electrode at the transition state.…”

Section: Introductionmentioning

confidence: 99%

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Numerical simulation of solid oxide fuel cells comparing different electrochemical kinetics

et al. 2021

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Solid oxide fuel cells (SOFCs) produce electricity with high electrical efficiency and fuel flexibility without pollution, for example, CO 2 , NO x , SO x, and particles.Still, numerous issues hindered the large-scale commercialization of fuel cell at a large scale, such as fuel storage, mechanical failure, catalytic degradation, electrode poisoning from fuel and air, for example, lifetime in relation to cost. Computational fluid dynamics (CFD) couples various physical fields, which is vital to reduce the redundant workload required for SOFC development. Modeling of SOFCs includes the coupling of charge transfer, electrochemical reactions, fluid flow, energy transport, and species transport. The Butler-Volmer equation is frequently used to describe the coupling of electrochemical reactions with current density. The most frequently used is the activation-and diffusion-controlled Butler-Volmer equation. Three different electrode reaction models are examined in the study, which is named case 1, case 2, and case 3, respectively. Case 1 is activation controlled while cases 2 and 3 are diffusion-controlled which take the concentration of redox species into account. It is shown that case 1 gives the highest reaction rate, followed by case 2 and case 3. Case 3 gives the lowest reaction rate and thus has a much lower current density and temperature. The change of activation overpotential does not follow the change of current density and temperature at the interface of the anode and electrolyte and interface of cathode and electrolyte, which demonstrates the non-linearity of the model. This study provides a reference to build electrochemical models of SOFCs and gives a deep understanding of the involved electrochemistry.

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Section: Electrochemical Modelmentioning

confidence: 99%

Section: Energy Balancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Numerical simulation of solid oxide fuel cells comparing different electrochemical kinetics

et al. 2021

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“…The study of the kinetics of carbon formation reactions is needed in order to evaluate the rates of deposition. More details on the equilibrium and kinetic modeling approaches can be found in [45]. The model …”

Section: Carbon Deposition Studymentioning

confidence: 99%

Reporting Degradation from Different Fuel Contaminants in Ni‐anode SOFCs

et al. 2017

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The real-life operation of solid oxide fuel cell (SOFC) system has to deal with fuel contaminants which might reduce even significantly the lifetime of reformer and stack depending on the type and amount of contaminant present in the feed stream. From a system perspective, detecting and correlating observed stack and reformer performance degradation with fuel contamination is fundamental to implement correctional procedures (e.g., change of clean-up vessels catalysts) and/or trigger alarms to prevent a further contamination of the fuel cell. In this work, based on own experiments with several fuel contaminants (H 2 S, HCl, tars, siloxanes), we have developed empirical degradation models which are able to quantitatively correlate the range of degradation rate resulting from known amounts of a certain contaminant type in the fuel stream. Degradation induced by carbon deposition is also assessed using a simulation model. The techno-economic trade-off of having ultra-stringent purification requirements on the fuel clean-up unit due to additional operating costs (e.g., for frequent catalysts change) or capital costs (e.g., for vessel over-sizing to accommodate a larger amount of catalysts and possibly of different types) versus the lifetime of the fuel cell stacks is eventually analyzed.

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