LAPSE:2026.0332
Published Article

LAPSE:2026.0332
CO2 Conversion: Three-Dimensional Modelling of Gas Diffusion Electrodes
June 12, 2026
Abstract
Electrochemical reduction of CO2 (ERCO2) in gas diffusion electrode (GDE)-based electrolyzers represents a potential strategy for global decarbonization, achieving simultaneously the valorization of this abundant carbon resource. While significant progress has been achieved in enhancing CO2 conversion in these systems, further advances are required to enable their practical implementation at the industrial scale. Physics-based simulations offer a powerful tool to guide the optimization of design and operating parameters as well as for the efficient scale-up of CO2 electrolyzers. In this work, we have developed a three-dimensional multiphysics model of the cathodic compartment of a GDE electrolyzer for ERCO2 to formate. For that purpose, the software COMSOL Multiphysics has been used. The model is experimentally validated, confirming its accuracy at reproducing current density and Faradaic efficiency at cathode potentials in the range -1.2 V and -1.7 V. Moreover, kinetic parameters are fitted to experimental data performing several parametric sweeps to minimize discrepancies between simulated and measured current densities. We obtain charge transfer coefficients (alpha_c_k) of 0.07 and 0.34, together with exchange current densities (i0, k) of 30 mA·cm-2 and 10-4 mA·cm-2 for ERCO2 and the competing hydrogen evolution reaction, respectively. Finally, the model is used to predict formate concentration under varying applied potential conditions. Collectively, our three-dimensional multiphysics model reliably predicts CO2 conversion to formate, thus representing a useful tool for guiding system optimization and scale-up. Moreover, the systematic methodology followed for developing the model can be readily extended to the design and analysis of other electrochemical cells beyond CO2-to-formate conversion.
Electrochemical reduction of CO2 (ERCO2) in gas diffusion electrode (GDE)-based electrolyzers represents a potential strategy for global decarbonization, achieving simultaneously the valorization of this abundant carbon resource. While significant progress has been achieved in enhancing CO2 conversion in these systems, further advances are required to enable their practical implementation at the industrial scale. Physics-based simulations offer a powerful tool to guide the optimization of design and operating parameters as well as for the efficient scale-up of CO2 electrolyzers. In this work, we have developed a three-dimensional multiphysics model of the cathodic compartment of a GDE electrolyzer for ERCO2 to formate. For that purpose, the software COMSOL Multiphysics has been used. The model is experimentally validated, confirming its accuracy at reproducing current density and Faradaic efficiency at cathode potentials in the range -1.2 V and -1.7 V. Moreover, kinetic parameters are fitted to experimental data performing several parametric sweeps to minimize discrepancies between simulated and measured current densities. We obtain charge transfer coefficients (alpha_c_k) of 0.07 and 0.34, together with exchange current densities (i0, k) of 30 mA·cm-2 and 10-4 mA·cm-2 for ERCO2 and the competing hydrogen evolution reaction, respectively. Finally, the model is used to predict formate concentration under varying applied potential conditions. Collectively, our three-dimensional multiphysics model reliably predicts CO2 conversion to formate, thus representing a useful tool for guiding system optimization and scale-up. Moreover, the systematic methodology followed for developing the model can be readily extended to the design and analysis of other electrochemical cells beyond CO2-to-formate conversion.
Record ID
Keywords
Subject
Suggested Citation
González-Fernández C, Peralta C, Abarca JA, Santos E, Díaz-Sainz G, Irabien Á. CO2 Conversion: Three-Dimensional Modelling of Gas Diffusion Electrodes. Systems and Control Transactions 5:1030-1035 (2026) https://doi.org/10.69997/sct.161833
Author Affiliations
González-Fernández C: Departamento de Ingenierías Química y Biomolecular, Universidad de Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain [ORCID]
Peralta C: Apria Systems S.L. Parque Empresarial de Morero, 39611 Guarnizo, Spain [ORCID]
Abarca JA: Departamento de Ingenierías Química y Biomolecular, Universidad de Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain [ORCID]
Santos E: Apria Systems S.L. Parque Empresarial de Morero, 39611 Guarnizo, Spain [ORCID]
Díaz-Sainz G: Departamento de Ingenierías Química y Biomolecular, Universidad de Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain [ORCID]
Irabien Á: Departamento de Ingenierías Química y Biomolecular, Universidad de Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain [ORCID]
[Login] to see author email addresses.
Peralta C: Apria Systems S.L. Parque Empresarial de Morero, 39611 Guarnizo, Spain [ORCID]
Abarca JA: Departamento de Ingenierías Química y Biomolecular, Universidad de Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain [ORCID]
Santos E: Apria Systems S.L. Parque Empresarial de Morero, 39611 Guarnizo, Spain [ORCID]
Díaz-Sainz G: Departamento de Ingenierías Química y Biomolecular, Universidad de Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain [ORCID]
Irabien Á: Departamento de Ingenierías Química y Biomolecular, Universidad de Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain [ORCID]
[Login] to see author email addresses.
Journal Name
Systems and Control Transactions
Volume
5
First Page
1030
Last Page
1035
Year
2026
Publication Date
2026-06-12
Version Comments
Original Submission
Other Meta
PII: 1030-1035-163-SCT-5-2026, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2026.0332
This Record
External Link

https://doi.org/10.69997/sct.161833
Publisher Version
Download
Meta
Record Statistics
Record Views
27
Version History
[v1] (Original Submission)
Jun 12, 2026
Verified by curator on
Jun 12, 2026
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2026.0332
Record Owner
PSE Press
Links to Related Works
References Cited
- Gao D, Arán-Ais RM, Jeon HS, Roldan Cuenya B. Rational catalyst and electrolyte design for CO2 electroreduction towards multicarbon products. Nat Catal 2:198-210 (2019) https://doi.org/10.1038/s41929-019-0235-5
- He R, Xu N, Hasan IMU, Peng L, Li L, Huang H, Qiao J. Advances in electrolyzer design and development for electrochemical co2 reduction. EcoMat 5: (2023) https://doi.org/10.1002/eom2.12346
- O. A. El-Shafie, R. M. El-Maghraby, J. Albo, S. E. K. Fateen, A. Abdelghany. Modeling and numerical investigation of the performance of gas diffusion electrodes for the electrochemical reduction of carbon dioxide to methanol. Ind. Eng. Chem. Res., 59(47), 20929-20942 (2020) https://dx.doi.org/10.1021/acs.iecr.0c02358
- Offong AC, Hanak DP. Modeling and simulation of microfluidic electrolytic cells for CO2 electro-reduction to formic acid: the influence of a bi-sn catalyst and ionic liquid electrolyte on cell performance. Next Energy 7:100276 (2025) https://doi.org/10.1016/j.nxener.2025.100276
- Abarca JA, Díaz-Sainz G, Irabien A. Inhibiting salt precipitation on the gas diffusion electrode surface in gas-phase CO2 electroreduction to formate by using an acidic anolyte. Journal of CO2 Utilization 86:102897 (2024) https://doi.org/10.1016/j.jcou.2024.102897
- Agliuzza M, Pirri CF, Sacco A. A comprehensive modeling for the co2 electroreduction to CO. J. Phys. Energy 6:015004 (2023) https://doi.org/10.1088/2515-7655/ad0a39
- Abarca JA, Warmuth L, Rieder A, Dutta A, Vesztergom S, Broekmann P, Irabien A, Díaz-Sainz G. GDE stability in co2 electroreduction to formate: the role of ionomer type and loading. ACS Catal. 15:8753-8767 (2025) https://doi.org/10.1021/acscatal.5c02052
- Díaz-Sainz G, Abarca JA, Alvarez-Guerra M, Irabien A. Exploring the impact of partial pressure and typical compounds on the continuous electroconversion of CO2 into formate. Journal of CO2 Utilization 81:102735 (2024) https://doi.org/10.1016/j.jcou.2024.102735
- Bahreini M, Désilets M, Pahija E, Legrand U, Guo J, Fink AG. Investigation of co2 reduction to formate in an industrial-scale electrochemical cell through transient numerical modeling. Ind. Eng. Chem. Res. 63:18187-18198 (2024) https://doi.org/10.1021/acs.iecr.4c03239
- Weng LC, Bell AT, Weber AZ. A systematic analysis of cu-based membrane-electrode assemblies for co2 reduction through multiphysics simulation. Energy Environ. Sci. 13:3592-3606 (2020) https://doi.org/10.1039/d0ee01604g
- Agarwal VG, Haussener S. Quantifying mass transport limitations in a microfluidic CO2 electrolyzer with a gas diffusion cathode. Commun Chem 7: (2024) https://doi.org/10.1038/s42004-024-01122-5
- Díaz-Sainz G, Alvarez-Guerra M, Solla-Gullón J, García-Cruz L, Montiel V, Irabien A. CO2 electroreduction to formate: continuous single-pass operation in a filter-press reactor at high current densities using bi gas diffusion electrodes. Journal of CO2 Utilization 34:12-19 (2019) https://doi.org/10.1016/j.jcou.2019.05.035
- Corpus KRM, Bui JC, Limaye AM, Pant LM, Manthiram K, Weber AZ, Bell AT. Coupling covariance matrix adaptation with continuum modeling for determination of kinetic parameters associated with electrochemical CO2 reduction. Joule 7:1289-1307 (2023) https://doi.org/10.1016/j.joule.2023.05.007
(0.09 seconds)
[0.09 s]

