Modeling and upscaling analysis of gas diffusion electrode-based electrochemical carbon dioxide reduction systems
Modeling and upscaling analysis of gas diffusion electrode-based electrochemical carbon dioxide reduction systems
As an emerging technology for CO2 utilization, electrochemical CO2 reduction reaction (ECO2RR) systems incorporating gas diffusion electrodes (GDE) have the potential to transform CO2 to valuable products efficiently and environment-friendly. In this work, a two-dimensional multiphase model capturing the details of the catalyst layer in a GDE that produces formate with byproducts is established and quantitatively validated against experimental data. This model is capable of describing the mixture gas and aqueous species transportation, electron conduction processes, and a series of interrelated chemical and electrochemical reactions. Specific electrical energy consumption (SEEC) and product yield (PY) have been introduced and used to examine the GDE scalability and evaluate the system performance. The results predict the optimal values for applied cathode potential and catalyst loading and porosity. The effect of inlet gas composition and velocity is also evaluated. Moreover, this study predicts that the GDE is scalable as it retains a stable performance as its geometrical surface area varies. This model together with the simulation findings contributes to the improved understanding of GDE-based CO2 conversion as needed for the future development toward successful industrial applications.
electrochemical COreduction, energy consumption, gas diffusion electrode, modeling, optimization, scalability, yield
351-361
Yang, Ziming
5d6b7874-7a50-4197-b3a5-142e5150c49e
Li, Da
9be6a5e1-b1d4-43da-a77d-3ad8ce5e64c4
Xing, Lei
2d4491db-9d7c-4fda-bb15-2ae800e0dd2b
Xiang, Hang
c2751c29-e8d9-485f-9899-b84287361dd8
Xuan, Jin
13b28f2d-452d-47e9-adeb-0e9887fb60ea
Cheng, Shaoan
dae40ba0-28a2-430f-987b-207828b9ca36
Yu, Eileen Hao
28e47863-4b50-4821-b80b-71fb5a2edef2
Yang, Aidong
8f7db0b8-b2ea-4944-b11d-e32ee58d6d1c
11 January 2021
Yang, Ziming
5d6b7874-7a50-4197-b3a5-142e5150c49e
Li, Da
9be6a5e1-b1d4-43da-a77d-3ad8ce5e64c4
Xing, Lei
2d4491db-9d7c-4fda-bb15-2ae800e0dd2b
Xiang, Hang
c2751c29-e8d9-485f-9899-b84287361dd8
Xuan, Jin
13b28f2d-452d-47e9-adeb-0e9887fb60ea
Cheng, Shaoan
dae40ba0-28a2-430f-987b-207828b9ca36
Yu, Eileen Hao
28e47863-4b50-4821-b80b-71fb5a2edef2
Yang, Aidong
8f7db0b8-b2ea-4944-b11d-e32ee58d6d1c
Yang, Ziming, Li, Da, Xing, Lei, Xiang, Hang, Xuan, Jin, Cheng, Shaoan, Yu, Eileen Hao and Yang, Aidong
(2021)
Modeling and upscaling analysis of gas diffusion electrode-based electrochemical carbon dioxide reduction systems.
ACS Sustainable Chemistry and Engineering, 9 (1), .
(doi:10.1021/acssuschemeng.0c07387).
Abstract
As an emerging technology for CO2 utilization, electrochemical CO2 reduction reaction (ECO2RR) systems incorporating gas diffusion electrodes (GDE) have the potential to transform CO2 to valuable products efficiently and environment-friendly. In this work, a two-dimensional multiphase model capturing the details of the catalyst layer in a GDE that produces formate with byproducts is established and quantitatively validated against experimental data. This model is capable of describing the mixture gas and aqueous species transportation, electron conduction processes, and a series of interrelated chemical and electrochemical reactions. Specific electrical energy consumption (SEEC) and product yield (PY) have been introduced and used to examine the GDE scalability and evaluate the system performance. The results predict the optimal values for applied cathode potential and catalyst loading and porosity. The effect of inlet gas composition and velocity is also evaluated. Moreover, this study predicts that the GDE is scalable as it retains a stable performance as its geometrical surface area varies. This model together with the simulation findings contributes to the improved understanding of GDE-based CO2 conversion as needed for the future development toward successful industrial applications.
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e-pub ahead of print date: 30 December 2020
Published date: 11 January 2021
Keywords:
electrochemical COreduction, energy consumption, gas diffusion electrode, modeling, optimization, scalability, yield
Identifiers
Local EPrints ID: 498871
URI: http://eprints.soton.ac.uk/id/eprint/498871
ISSN: 2168-0485
PURE UUID: b71950af-799e-4733-889d-38e6b1e4eb87
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Date deposited: 04 Mar 2025 17:49
Last modified: 05 Mar 2025 03:17
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Contributors
Author:
Ziming Yang
Author:
Da Li
Author:
Lei Xing
Author:
Hang Xiang
Author:
Jin Xuan
Author:
Shaoan Cheng
Author:
Eileen Hao Yu
Author:
Aidong Yang
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