Modeling CO2 electrochemical reduction kinetics under well-controlled mass-transport conditions
Etienne Boutin a
a Laboratory of Renewable Energy Science and Engineering, École Polytechnique Fédérale de Lausanne, Switzerland
Materials for Sustainable Development Conference (MATSUS)
Proceedings of nanoGe Fall Meeting 2021 (NFM21)
#SolCat21. (Photo-)Electrocatalysis: From the Atomistic to System Scale
Online, Spain, 2021 October 18th - 22nd
Organizers: Karen Chan, Sophia Haussener and Brian Seger
Contributed talk, Etienne Boutin, presentation 149
DOI: https://doi.org/10.29363/nanoge.nfm.2021.149
Publication date: 23rd September 2021

Electrochemical reduction of CO2 into valuable fuels has entered a pre-industrialization stage with more and more studies oriented toward competitive and scaled designs and processes. This trend is mostly visible in the aim for large current density operation and the use of gas diffusion electrode (GDE) based device approaches. To provide guidelines for optimization, multi-physics modeling of CO2 electrochemical reduction process, from the molecular to the device scale has become a necessary tool.[1], [2]

To reach a comprehensive and accurate model, each parameters requires to be established and validated independently as a first step. This sub-task is challenging for the determination of electrochemical kinetic parameters as mass transport and kinetics phenomena are always happening concomitantly and are convoluted.

In the present work, we investigate experimental conditions for which the mass transport characteristics can be modeled in detail allowing for the isolated determination of kinetic parameters. Such requirments are meet under certain conditions at rotating disk electrode (RDE). At a silver rotating disk, we investigate the electrochemical reduction of CO2 into CO and the competitive reduction of water into hydrogen and use the fully modelized convective flow to post determine the exact electrode concentration of reactant and product at steady state. We will show how this strategy enables the determination of finer kinetic models. Such parameters would eventually be implemented into more complex, complete electrode and device models to optimize state of the art silver-based gas diffusion electrode design.[3]

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