Pathways to Enhance Electrochemical CO2 Reduction Identified Through Combined Computational-Experimental Approaches
Sophia Haussener a
a École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Materials for Sustainable Development Conference (MATSUS)
Proceedings of MATSUS Fall 2024 Conference (MATSUSFall24)
#PECCO2 - Advances in (Photo)Electrochemical CO2 Conversion to Chemicals and Fuels
Lausanne, Switzerland, 2024 November 12th - 15th
Organizers: Deepak PANT, Adriano Sacco and juqin zeng
Invited Speaker, Sophia Haussener, presentation 041
DOI: https://doi.org/10.29363/nanoge.matsusfall.2024.041
Publication date: 28th August 2024

Multi-physical transport processes on multiple scales occur in electrochemical devices and components for CO2 electroreduction. These complex coupled transport processes determine the local environment in the catalyst layer and subsequently also the reaction rates at the catalytic sites. Experiments have difficulties to provide locally resolved information within a working cell, but can provide important insight into catalytic mechanisms or provide macroscopic performance characteristics (current-voltage behaviour, selectivity’s, etc.). The multi-physics and multi-scale models can provide locally resolved insights, starting from the double layer [1,2], the pore-scale [2,3], all the way to the volume-averaged continuum-scale [4], but typically rely on experimental input for model parameters or validation. Operational conditions (e.g. steady state vs. transient) can further provide interesting insights into limiting phenomena. I will discuss how combined experimental and computational approaches can help provide relevant insights into (photo)electrochemical CO2 reduction to improve activity and selectivity utilizing multi-scale and transient models that are fed by dedicated experimental data.

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