Go with CO: A Case for Targeting Carbon Monoxide As a Reactive Carbon Capture Product

This study is relevant to reactive carbon capture using aqueous alkaline capture solutions, where captured CO2 is electrochemically released from a capture solution and then upgraded into commodity chemicals in an electrolyzer. The commercial viability of this form of reactive carbon capture demands that the electrolyzer effluent that is returned to the capture unit be sufficiently alkaline to effectively capture CO2 from air or a point source. Here, we introduce “electron-alkalinity efficiency” (EA%) to correlate OH– production to electrons consumed during the electrolysis of CO2. We show that the maximum EA% value for CO production is 100%, but is less than 50% for the production of HCOO–, CH4, and C2H4. This outcome implies that the electrolytic production of CO yields the highest CO2 capture efficiency. To support this claim, we modeled a 1-m2 electrolyzer producing CO at a current density of 200 mA cm–2, 100% Faradaic efficiency for CO, and 100% CO2 utilization, resulting in an OH– production rate of 75 mol h–1. No other CO2 reduction products (HCOO–, CH4, and C2H4) generate this level of alkalinity without operating at far more extreme current densities or larger scales. We therefore recommend to “go with CO” for reactive carbon capture.

Authors

Institutions

Publication Details

Journal
ACS Energy Letters
Published
2025-04-28
DOI
https://doi.org/10.1021/acsenergylett.4c03584
Citations
6
Primary Topic
Carbon Dioxide Capture Technologies
Type
article
Field-Weighted Citation Impact
4.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Go with CO: A Case for Targeting Carbon Monoxide As a Reactive Carbon Capture Product

Curtis P. Berlinguette, Giuseppe V. Crescenzo, Andrew Jewlal, Yongwook Kim
6 citations
ACS Energy Letters
Carbon Dioxide Capture Technologies
4.28
article

Go with CO: A Case for Targeting Carbon Monoxide As a Reactive Carbon Capture Product

Curtis P. Berlinguette, Giuseppe V. Crescenzo, Andrew Jewlal, Yongwook Kim
article en
6 citations

Abstract

This study is relevant to reactive carbon capture using aqueous alkaline capture solutions, where captured CO2 is electrochemically released from a capture solution and then upgraded into commodity chemicals in an electrolyzer. The commercial viability of this form of reactive carbon capture demands that the electrolyzer effluent that is returned to the capture unit be sufficiently alkaline to effectively capture CO2 from air or a point source. Here, we introduce “electron-alkalinity efficiency” (EA%) to correlate OH– production to electrons consumed during the electrolysis of CO2. We show that the maximum EA% value for CO production is 100%, but is less than 50% for the production of HCOO–, CH4, and C2H4. This outcome implies that the electrolytic production of CO yields the highest CO2 capture efficiency. To support this claim, we modeled a 1-m2 electrolyzer producing CO at a current density of 200 mA cm–2, 100% Faradaic efficiency for CO, and 100% CO2 utilization, resulting in an OH– production rate of 75 mol h–1. No other CO2 reduction products (HCOO–, CH4, and C2H4) generate this level of alkalinity without operating at far more extreme current densities or larger scales. We therefore recommend to “go with CO” for reactive carbon capture.

ACS Energy LettersVol. 10(5)
Canadian Institute for Advanced Research (CA), University of British Columbia (CA)
Canadian Institute for Advanced Research, Canada Foundation for Innovation, Canada Research Chairs, Canada First Research Excellence Fund, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 6%
Carbon Dioxide Capture Technologies
4.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.