Proceedings of MATSUS Fall 2024 Conference (MATSUSFall24)
DOI: https://doi.org/10.29363/nanoge.matsusfall.2024.249
Publication date: 28th August 2024
Local CO2 availability at the catalyst is an important limitation for low temperature CO2 electroreduction in aqueous media. Integrated CO2 capture and electrochemical utilization is energetically and economically advantageous, as it combines sorptive and electrolytic functions [1]. Previously chemicals used as sorbent and organic electrolyte include monoethanolamine and ionic liquids [2]. Improved uptake capacity, kinetics, and selectivity as well as good chemical and thermal stability are essential criteria in the sorbent electrolyte selection process [3]. A common employed strategy to overcome the mass transport-limited CO2 supply in liquid electrolyte systems is to provide CO2 in its gaseous form to the electrode, leading to record performances in such systems [4].
Integration of sorbents in gas-fed electrolyzers enables to locally increase CO2 availability and thereby boost the maximum reduction rate [5]. Typical Membrane Electrode Assembly (MEA) designs are composed of multiple layers (e.g., hydrophobic porous transport layer, carbon nanoparticles or fibers, ionomer, catalyst nanoparticles, …). Studying the effect of the sorbent and its integration in the assembly is impeded by the stack complexity and therefore hard to decouple from other phenomena. In this work, a planar interdigitated electrode assembly was developed to test sorbent electrolytes for CO2 reduction in gas-fed environments under well-defined conditions. Ionic liquid-silica nanocomposites were successfully tested as sorbent electrolyte coatings for CO2 reduction in such a gas-fed model system, providing a proof-of-concept for the enhanced CO2 electroreduction by increasing reactant availability . Next to the experimental approach, kinetic parameters for the CO2 uptake, transport and electroreduction were modeled in a multiphysics model and compared to experiments. The extracted kinetic parameters obtained from the interdigitated electrode model system were implemented in a model of a MEA configuration to determine optimum sorbent placement.