A Regenerable Bi‐Based Catalyst for Efficient and Stable Electrochemical CO<sub>2</sub> Reduction to Formate at Industrial Current Densities

Abstract Renewable electricity shows immense potential as a driving force for the carbon dioxide reduction reaction (CO 2 RR) in production of formate (HCOO − ) at industrial current density, providing a promising path for value‐added chemicals and chemical manufacturing. However, achieving high selectivity and stable production of HCOO − at industrial current density remains a challenge. Here, we present a robust Bi 0.6 Cu 0.4 NSs catalyst capable of regenerating necessary catalytic core (Bi−O) through cyclic voltammetry (CV) treatment. Notably, at 260 mA cm −2 , faradaic efficiency of HCOO − reaches an exceptional selectivity to 99.23 %, maintaining above 90 % even after 400 h, which is longest reaction time reported at the industrial current density. Furthermore, in stability test, the catalyst was constructed by CV reconstruction to achieve stable and efficient production of HCOO − . In 20 h reaction test, the catalyst has a rate of HCOO − production of 13.24 mmol m −2 s −1 , a HCOO − concentration of 1.91 mol L −1 , and an energy consumption of 129.80 kWh kmol −1 . In situ Raman spectroscopy reveals the formation of Bi−O structure during the gradual transformation of catalyst from Bi 0.6 Cu 0.4 NBs to Bi 0.6 Cu 0.4 NSs. Theoretical studies highlight the pivotal role of Bi−O structure in modifying the adsorption behavior of reaction intermediates, which further reduces energy barrier for *OCHO conversion in CO 2 RR.

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Publication Details

Journal
Angewandte Chemie
Published
2024-08-22
DOI
https://doi.org/10.1002/ange.202411575
Citations
11
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
1.13

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article

A Regenerable Bi‐Based Catalyst for Efficient and Stable Electrochemical CO2 Reduction to Formate at Industrial Current Densities

Yingchen Yang, Longhua Li, Jinhui Hao, Weidong Shi et al.
11 citations
Angewandte Chemie
CO2 Reduction Techniques and Catalysts
1.13
article

A Regenerable Bi‐Based Catalyst for Efficient and Stable Electrochemical CO2 Reduction to Formate at Industrial Current Densities

Yingchen Yang, Longhua Li, Jinhui Hao, Weidong Shi, Wei‐Cheng Yan, Meng Wu, Ye Bai, Hong Liu, Yaoxuan Wang
article en
11 citations

Abstract

Abstract Renewable electricity shows immense potential as a driving force for the carbon dioxide reduction reaction (CO 2 RR) in production of formate (HCOO − ) at industrial current density, providing a promising path for value‐added chemicals and chemical manufacturing. However, achieving high selectivity and stable production of HCOO − at industrial current density remains a challenge. Here, we present a robust Bi 0.6 Cu 0.4 NSs catalyst capable of regenerating necessary catalytic core (Bi−O) through cyclic voltammetry (CV) treatment. Notably, at 260 mA cm −2 , faradaic efficiency of HCOO − reaches an exceptional selectivity to 99.23 %, maintaining above 90 % even after 400 h, which is longest reaction time reported at the industrial current density. Furthermore, in stability test, the catalyst was constructed by CV reconstruction to achieve stable and efficient production of HCOO − . In 20 h reaction test, the catalyst has a rate of HCOO − production of 13.24 mmol m −2 s −1 , a HCOO − concentration of 1.91 mol L −1 , and an energy consumption of 129.80 kWh kmol −1 . In situ Raman spectroscopy reveals the formation of Bi−O structure during the gradual transformation of catalyst from Bi 0.6 Cu 0.4 NBs to Bi 0.6 Cu 0.4 NSs. Theoretical studies highlight the pivotal role of Bi−O structure in modifying the adsorption behavior of reaction intermediates, which further reduces energy barrier for *OCHO conversion in CO 2 RR.

Angewandte ChemieVol. 136(50)
Jiangsu University (CN), Jiangsu University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province
Affordable and clean energy
Openalex Percentile: Top 25%
CO2 Reduction Techniques and Catalysts
1.13
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