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Experimental investigation of La0.6Sr0.4FeO3-δ pellets as oxygen carriers in a counter-current packed-bed reactor for efficient chemical looping CO2 splitting

Lookup NU author(s): Dr Yongliang YanORCiD, Reinaldo Lee PereiraORCiD, Matteo Fella, Dr Wenting HuORCiD, Professor Ian Metcalfe

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

The application of chemical looping for reverse water gas-shift provides an efficient way for the conversion of CO2 to CO, enabling the transformation of captured CO2 into value-added products. For example, by using the produced CO along with renewable H2 to synthesise liquid fuels. In this study, we applied the concept of a chemical ‘memory’ reactor, employing a perovskite-based oxygen carrier (La0.6Sr0.4FeO3-δ, LSF) in a counter-current packed-bed reactor for CO2 splitting. This approach overcomes the chemical equilibrium limitation and could produce high purity CO.Our work experimentally investigated the performance of LSF pellets as oxygen carriers in a large lab-scale packed-bed reactor with gas switching technology for chemical looping CO2 splitting. We evaluated the effects of changes in feed time, bed temperatures, and flow rates on CO2 to CO conversion. Optimal conditions gave over 90 % CO2 to CO conversion via counter-current flow, compared to 45 % for conventional co-current flow in the same reactor. Higher bed temperatures enhanced the CO2 to CO conversion.


Publication metadata

Author(s): Yan Y, Lee Pereira RJ, Fella M, Li Z, Hu W, Larring Y, Metcalfe IS

Publication type: Article

Publication status: Published

Journal: Journal of CO2 Utilization

Year: 2024

Volume: 88

Print publication date: 01/10/2024

Online publication date: 21/09/2024

Acceptance date: 17/09/2024

Date deposited: 21/09/2024

ISSN (print): 2212-9820

ISSN (electronic): 2212-9839

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.jcou.2024.102935

DOI: 10.1016/j.jcou.2024.102935

Data Access Statement: The raw data that supports the findings of this study are available via 10.25405/data.ncl.27051466.


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Funding

Funder referenceFunder name
CiET1819\2\57
Royal Academy of Engineering

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