Optimized tandem catalyst patterning for CO$_2$ reduction flow reactors
Jack Guo (1), Thomas Roy (1), Nitish Govindarajan (2), Joel B. Varley (2), Jonathan Raisin (3, 5), Jinyoung Lee (3, 4, 6), Ji-Wook Jang (6, 7), Dong Un Lee (3, 4), Thomas F. Jaramillo (3, 4), Tiras Y. Lin (1) ((1) Computational Engineering Division

TL;DR
This paper demonstrates a method to optimize the patterning of tandem catalysts in flow reactors for electrochemical CO$_2$ reduction, significantly enhancing high-value product formation through integrated modeling and design optimization.
Contribution
It introduces a combined continuum transport modeling and adjoint-based optimization approach for designing catalyst patterns in CO$_2$ reduction reactors.
Findings
Optimized catalyst patterns increase ethylene current density by up to 65%.
Design optimization is more effective at higher negative voltages.
Minimized low CO concentration zones correlate with improved performance.
Abstract
Tandem catalysis involves two or more catalysts arranged in proximity within a single reaction vessel, with the aim of synergistically aligning the catalysts' reaction pathways to maximize overall system performance. This study presents a proof of concept showing the integration of continuum transport modeling with design optimization in a simplified two-dimensional flow reactor setup for electrochemical CO reduction. Ag catalysts provide the CO CO reaction capability, and Cu catalysts provide the CO high-value products reaction capability. Given a set of input parameters, the optimization algorithm uses adjoint methods to modify the Ag/Cu surface patterning in order to maximize the current density toward high-value products, such as ethylene. The optimized designs yield significant performance enhancement especially at more negative applied voltages…
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