(67h) Advanced Manufacturing for Electrosynthesis of Fuels and Chemicals from CO2 | AIChE

(67h) Advanced Manufacturing for Electrosynthesis of Fuels and Chemicals from CO2

Authors 

Feaster, J. T. - Presenter, Lawrence Livermore National Laboratory
Corral, D., Stanford University
Sobhani, S., Lawrence Livermore National Laboratory
DeOtte, J. R., Lawrence Livermore National Laboratory
Lee, D. U., Stanford University
Wong, A., Lawrence Livermore National Laboratory
Hamilton, J., Lawrence Livermore National Laboratory
Beck, V., LLNL
Sarkar, A., University of Kentucky
Hahn, C., Stanford University
Jaramillo, T., Stanford University
Baker, S., Lawrence Livermore National Lab
Duoss, E. B., Lawrence Livermore National Laboratory
The combination of CO2 electroreduction and advanced manufacturing (AM) can be used effectively for longer-term sequestration of CO2 out of environment, as well as store renewable energy as fuels, additives, and non-fossil derived chemicals. Advanced manufacturing represents a method to rapidly create novel electrochemical reactors, particularly custom vapor-fed reactors (VFRs) for increased CO2 consumption rates at higher current densities. Previous studies using gas diffusion electrodes (GDEs) have shown promising activity and selectivity towards ethylene and ethylene in highly alkaline electrolytes (pH > 14), but high faradaic efficiency at high current densities has been difficult to achieve in neutral electrolytes.

In this work, we demonstrate advanced manufacturing (AM) for rapid development and testing for improved performance across an evolution of reactor designs in bulk pH neutral conditions (pH < 8). Using AM VFRs and computational fluid dynamic (CFD) models, we explore activation- and mixed-control regimes across a range of operating conditions, including flow rate and electrochemical potential. Furthermore, we define a dimensionless number (Da) to identify mass transport regimes in the reactor based on several underlying mass transport mechanisms. These AM VFRs provide effective delivery of CO2 and result in remarkable selectivity to multi-carbon products (>85% FE towards C2+), improved single pass CO2 conversion (16.6%), and high ethylene (3.67%) and ethanol (3.66%) yields compared to the literature. We propose AM as a promising approach for accelerating reactor design and understanding governing phenomena while de-risking scale-up and optimization for industrial implementation.

This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.