Advancing oxygen separation:insights from experimental and computational analysis of La0.7Ca0.3Co0.3Fe0.6M0.1O3-δ(M=Cu,Zn)oxygen transport membranes

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外文摘要：In this study,perovskite-type Lao 7Cao.3Co0.3 Fe0.6M0.1O3-δ(M=Cu,Zn)powders were synthesized using a scalable reverse co-precipitation method,presenting them as novel materials for oxygen transport membranes.The comprehensive study covered various aspects including oxygen permeability,crystal structure,conductivity,morphology,CO2 tolerance,and long-term regenerative durability with a focus on phase structure and composition.The membrane La0.7Ca0.3Co0.3Fe0.6Zn0.1O3-δexhibited high oxygen permeation fluxes,reaching up to 0.88 and 0.64 mL·min-1.cm-2 under air/He and air/CO2 gradients at 1173 K,respectively.After 1600 h of CO2 exposure,the perovskite structure remained intact,showcasing superior CO2 resistance.A combination of first principles simulations and experimental measurements was employed to deepen the understanding of Cu/Zn substitution effects on the structure,oxygen vacancy formation,and transport behavior of the membranes.These findings underscore the potential of this highly CO2-tolerant membrane for applications in high-temperature oxygen separation.The enhanced insights into the oxygen transport mechanism contribute to the advancement of next-generation membrane materials.

外文关键词：

perovskiteoxygen permeationmembraneoxygen ions diffusionoxygen vacancyformation energyenergy barrier

作者：

Guoxing Chen、Wenmei Liu、Marc Widenmeyer、Xiao Yu、Zhijun Zhao、Songhak Yoon、Ruijuan Yan、Wenjie Xie、Armin Feldhoff、Gert Homm、Emanuel Ionescu、Maria Fyta、Anke Weidenkaff

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作者单位：

Fraunhofer Research Institution for Materials Recycling and Resource Strategies IWKS,Alzenau 63755,Germany

Electrochemistry Laboratory,Paul Scherrer Institute,Villigen PSI 5232,Switzerland

Department of Materials and Earth Sciences,Materials and Resources,Technical University of Darmstadt,Darmstadt 64287,Germany

Institute of Physical Chemistry and Electrochemistry,Leibniz University Hannover,Hannover 30167,Germany

Institute for Computational Physics,University of Stuttgart,Stuttgart 70569,Germany

Computational Biotechnology,RWTH Aachen,Aachen 52074,Germany

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基金：

Federal Ministry of Education and Research for financial support during PiCK projectFederal Ministry of Education and Research for financial support during the NexPlas project

项目编号：

03SFK2S3B03SF0618B

出版年：

2024

DOI：

10.1007/s11705-024-2421-5

化学科学与工程前沿

高等教育出版社

化学科学与工程前沿

CSTPCDEI

影响因子：0.172

ISSN：2095-0179

年,卷(期)：2024.18(6)