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Cation-driven increases in CO2 utilization in a bipolar membrane electrode assembly for CO2 electrolysis

Authors: Yang, Kailun; Li, Mengran; Subramanian, Siddhartha; Blommaert, Marijn A.; Smith, Wilson A.; Burdyny, Thomas;

Cation-driven increases in CO2 utilization in a bipolar membrane electrode assembly for CO2 electrolysis

Abstract

Advancing reaction rates for electrochemical CO2 reduction in membrane electrode assemblies (MEAs) have boosted the promise of the technology while exposing new shortcomings. Among these is the maximum utilization of CO2, which is capped at 50% (CO as targeted product) due to unwanted homogeneous reactions. Using bipolar membranes in an MEA (BPMEA) has the capability of preventing parasitic CO2 losses, but their promise is dampened by poor CO2 activity and selectivity. In this work, we enable a 3-fold increase in the CO2 reduction selectivity of a BPMEA system by promoting alkali cation (K+) concentrations on the catalyst's surface, achieving a CO Faradaic efficiency of 68%. When compared to an anion exchange membrane, the cation-infused bipolar membrane (BPM) system shows a 5-fold reduction in CO2 loss at similar current densities, while breaking the 50% CO2 utilization mark. The work provides a combined cation and BPM strategy for overcoming CO2 utilization issues in CO2 electrolyzers.

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Netherlands
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Keywords

co faradaic efficiency, overcoming co, catalyst ’, 290, poor co, unwanted homogeneous reactions, Biochemistry, Microbiology, exposing new shortcomings, preventing parasitic co, combined cation, anion exchange membrane, Space Science, system shows, Evolutionary Biology, infused bipolar membrane, 660, targeted product, Cell Biology, similar current densities, membrane electrode assemblies, using bipolar membranes, electrochemical co, driven increases, 2 </ sub, Medicine, fold increase, 68 %, Physical Sciences not elsewhere classified, promoting alkali cation, Neuroscience, Biotechnology, Biological Sciences not elsewhere classified

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
123
Top 1%
Top 10%
Top 0.1%