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Research Article | Open Access

Electroreduction of CO2 to C2H4 Regulated by Spacing Effect: Mechanistic Insights from DFT Studies

Xinze Bi1, Yifan Yan1, Hongzhi Wang1( ), Yuezhu Zhao1, Jiatao Zhang2, Mingbo Wu1 ( )
College of New Energy, College of Chemical Engineering, State Key Laboratory of Heavy Oil Processing, China University of Petroleum (East China), Qingdao 266580, China
Beijing Key Laboratory of Construction-Tailorable Advanced Functional Materials and Green Applications, School of Chemistry and Chemical Engineer, Beijing Institute of Technology, Beijing 100081, China
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Abstract

It is crucial to construct an efficient catalyst with high activity and excellent selectivity for realizing CO2 electroreduction reaction (CO2ER) to high-value-added chemicals, especially the C2 products. Density functional theory (DFT) provides a powerful tool for investigating the promotional effect on C2 selectivity of finely tuned catalyst structures, which is currently difficult to control using experimental techniques, such as interatomic distances. In the work, 5 Cu2O catalyst models are constructed with different Cu-Cu atomic spacing (dCu-Cu). The results of DFT calculations show that adjusting the dCu-Cu can effectively tailor the electronic structures of active sites, enhance catalytic activity, and improve product selectivity. Specifically, the Cu atom pair spaced at dCu-Cu = 2.5 Å could optimize the adsorption configuration of *CO and enhance the binding strength of *CO, thus improving *CO adsorption energy and reducing the energy barrier of C-C coupling. The work proves the feasibility of spacing effect in enhancing the C2H4 selectivity of CO2ER and provides a new idea for the catalyst modification for other reactions of polyprotons-coupled electrons.

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Energy Material Advances
Article number: 0037

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Cite this article:
Bi X, Yan Y, Wang H, et al. Electroreduction of CO2 to C2H4 Regulated by Spacing Effect: Mechanistic Insights from DFT Studies. Energy Material Advances, 2023, 4: 0037. https://doi.org/10.34133/energymatadv.0037

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Received: 16 February 2023
Accepted: 18 May 2023
Published: 08 June 2023
© 2023 Xinze Bi et al. Exclusive licensee Beijing Institute of Technology Press. No claim to original U.S. Government Works.

Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0).