Skip to main content
Log in

Improved product selectivity of electrochemical reduction of carbon dioxide by tuning local carbon dioxide concentration with multiphysics models

  • Original Article
  • Published:
Environmental Chemistry Letters Aims and scope Submit manuscript

Abstract

Electrochemical reduction of carbon dioxide (CO2) is promising to alleviate carbon emissions and produce fuels and materials in a circular way, yet effective tuning strategies and fundamental understanding are lacking. In particular, cell design is actually done by simplistic one- or two-dimensional models, which incorporate numerous assumptions, leading to potential errors and discrepancies. Here, we establish new two-dimensional multiphysics models that incorporate cell-specific geometry, gas–liquid two-phase flow, and electrochemical kinetics. We calculate the temporary and spatial variations of the local CO2 concentration, electrochemical parameters, and products selectivity on the cathode surface, under different cell configurations and operating parameters. Products include dihydrogen (H2), carbon monoxide (CO), formic acid (HCOOH), ethylene (C2H4), ethanol (C2H5OH), and propanol (C3H7OH). We further investigated the effect of local CO2 concentration on CO2 reduction performance. We find that high local CO2 concentration, above 8.7 mM, enhances the selectivity for C1 products and the cathode polarization, whereas extremely low local CO2 concentration, of 0.75–5.5 mM, favors the selectivity for C2+ products, especially alcohols. C2+ selectivity ranges from 81.3 to 88.6% at 4.8–5.5 mM local CO2 concentration, while alcohol products selectivity ranges between 54.9 and 65.4% at 0.75–1.9 mM CO2 concentration. These findings are attributed to the reduced CO2 diffusion layer thickness to less than 10 μm at the cathode. This enhances the CO2 mass transfer efficiency to the cathode, and eliminates temporal and spatial variations of the local CO2 distribution along the cathode surface.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

Download references

Acknowledgements

This work is supported by the National Natural Science Foundation of China (51888103, 51906199) and the Fundamental Research Funds for the Central Universities.

Funding

This study was funded by the National Natural Science Foundation of China (51888103, 51906199).

Author information

Authors and Affiliations

Authors

Contributions

The manuscript was written through contributions of all authors. All authors have given approval to the final version of the manuscript.

Corresponding authors

Correspondence to Ya Liu or Liejin Guo.

Ethics declarations

Conflict of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 8004 kb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Qiu, H., Wang, F., Liu, Y. et al. Improved product selectivity of electrochemical reduction of carbon dioxide by tuning local carbon dioxide concentration with multiphysics models. Environ Chem Lett 21, 3045–3054 (2023). https://doi.org/10.1007/s10311-023-01635-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10311-023-01635-w

Keywords

Navigation