Interpretation of Defect and Gas-Phase Fluxes through Mixed-Conducting Ceramics Using Nernst–Planck–Poisson and Integral Formulations

Vøllestad, Einar; Zhu, Huayang; Kee, Robert J.

doi:10.1149/2.067401jes

Cited by 51 publications

(55 citation statements)

References 35 publications

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“…thickness), and feed gas water concentration as suggested by Kee et al [19] An increased water concentration from 1 % to 2 % in H 2 resulted in a potential change from 25 mV to 50 mV for 20 mol% yttriumdoped barium zirconate membrane (BZY20). [19] The potential profile for BZY20 was also predicted by Vøllestad et al [20] using the Gauss law instead of electro neutrality conditions. 2 % water on the feed gas was used and a 20 mV potential difference was obtained with a two-chamber reactor (permeate side gas was inert).…”

Section: Electrical Potential Of Membranesmentioning

confidence: 76%

Modelling of water transport through mixed‐ion conducting dense ceramics

Song

Zhang

2018

Can J Chem Eng

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This study develops and demonstrates a model that characterizes defect transports, responsible for water transport within dense ceramics, and calculates the diffusion coefficients for those defects. The multi‐species mass transfer processes within yttrium doped barium cerates are modelled by applying the Nernst‐Planck equation to the system. The Nernst‐Planck equation with suitable boundary conditions is adopted to compute defect diffusion coefficients in COMSOL Multiphysics. All related equations, based on charge and defect conservation, are solved numerically and validated experimentally. The model also predicts the concentration distribution of the defects and potential profiles throughout the membranes. The results provided convenient insights about the water transport and charge distribution as a function of membrane thickness.

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Section: Electrical Potential Of Membranesmentioning

confidence: 76%

Modelling of water transport through mixed‐ion conducting dense ceramics

Song

Zhang

2018

Can J Chem Eng

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“…In this article, a transient mathematical model has been established to describe the steam permeation through the HTPCM perovskite membranes, in which the distribution of the charged defects in the membranes is taken into consideration. The transfer of charged species in the solid electrolyte is described by the PNP equations . The effects of a variety of parameters including the membrane thickness, operating temperature, and steam partial pressures on the steam permeation process have been simulated and carefully discussed.…”

Section: Introductionmentioning

confidence: 99%

Modeling of steam permeation through the high temperature proton‐Conducting ceramic membranes

et al. 2018

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The BaCeO3‐based perovskite oxide can be applied as a steam‐permeable membrane due to their noticeable mixed oxygen ion and proton conducting properties. In this article, a transient model of the steam permeation through the BaCe0.9Y0.1O3‐δ perovskite membrane at elevated temperatures has been developed with the Poisson–Nernst–Planck equations for analyzing the steam permeation process, in which the distribution of charged defects in the membrane is carefully considered. The effects of the operating temperature, the membrane thickness, the steam partial pressure, and the electric potential difference between two membrane sides during the steam permeation have been simulated and discussed. The modeling results indicate there exists a maximum value of the spontaneous electric potential difference with the temperature rise and the external electric potential can obviously increase the steam flux. The model is validated using the experimental results from literature under steady state operational conditions. © 2018 American Institute of Chemical Engineers AIChE J, 65: 777–782, 2019

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“…That is to say, as soon as electrodes are attached to measure the potentials, then the measurement represents the electrode potentials, not the desired internal electrostatic potentials within the electrolyte. However, the internal electrostatic potential can be predicted by solving the defect transport equations (i.e., the Nernst-Planck-Poisson, NPP, problem) [26,31,34]. The equilibrium defect concentrations at the electrode-electrolyte interfaces can [26].…”

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confidence: 99%

Membrane polarization in mixed-conducting ceramic fuel cells and electrolyzers

Zhu

Kee

2016

International Journal of Hydrogen Energy

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This paper focuses on modeling membrane-polarization processes within mixedconducting electrolyte membranes. Because a complete set of thermodynamic and transport properties is available, the electrolyte material used for the study is a yttrium-doped barium zirconate (BaZr 0.9 Y 0.1 O 3−δ , BZY10). Unlike Polymer Electrolyte Fuel Cells (PEMFC) and Solid-Oxide Fuel Cells (SOFC), the open-circuit voltage cannot be evaluated using gas-phase compositions alone. Using a Nernst-Planck-Poisson (NPP) model, an important aspect of the present paper is to develop the theory needed to evaluate opencircuit potential. Focusing on the mixed-conducting membrane alone, the present model neglects all activation and concentration overpotentials. The model is exercised in both fuel-cell and electrolyzer modes, revealing significantly different polarization behaviors. The model-based results show how the membrane polarization depends upon operating conditions, including temperature and gas-phase compositions.

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Interpretation of Defect and Gas-Phase Fluxes through Mixed-Conducting Ceramics Using Nernst–Planck–Poisson and Integral Formulations

Cited by 51 publications

References 35 publications

Modelling of water transport through mixed‐ion conducting dense ceramics

Modelling of water transport through mixed‐ion conducting dense ceramics

Modeling of steam permeation through the high temperature proton‐Conducting ceramic membranes

Membrane polarization in mixed-conducting ceramic fuel cells and electrolyzers

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