Understanding three-dimensionally interconnected porous oxide-derived copper electrocatalyst for selective carbon dioxide reduction
Abstract
In this study, we have investigated a hierarchical CuO-derived inverse opal (CuO-IO) catalyst with high CO selectivity up to 80–90% and minimal H2 evolution at moderate potentials for CO2 electroreduction. The three-dimensionally (3D) structured, porous catalyst was composed of small CuO nanoparticles and exhibited a peak CO faradaic efficiency (FE) of 72.5% (±1.8), complete suppression of H2 formation, and good stability over 24 hours operation at –0.6 V versus the reversible hydrogen electrode (RHE). In situ Raman, X-ray absorption spectroscopy and X-ray diffraction measurements indicated reduction of the catalyst into metallic Cu0 oxidation state with dominant Cu(111) orientation under electrocatalytic conditions. We suggest that rapid depletion of CO2 and protons at the highly roughened catalyst surface likely increased the local pH during the electrolysis. The combination of C1 favoring Cu(111) surfaces and reduced local proton/CO2 availability facilitated selective conversion of CO2 into CO and reduced H2 and C2 products. Our work provides additional understanding of the structure–property relationships of 3D porous electrocatalysts for CO2 reduction applications by evaluating the crystallographic orientation, oxidation state, and crystallite size of a CO-selective CuO-IO catalyst under realistic working conditions.
- Authors:
-
- National Energy Technology Lab. (NETL), Pittsburgh, PA (United States); Leidos Research Support Team, Pittsburgh, PA (United States)
- National Energy Technology Lab. (NETL), Pittsburgh, PA (United States)
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States). Advanced Photon Source (APS); Brookhaven National Laboratory (BNL), Upton, NY (United States). National Synchrotron Light Source II (NSLS-II); National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division; Carnegie Mellon University; USDOE Office of Fossil Energy (FE)
- OSTI Identifier:
- 1583111
- Alternate Identifier(s):
- OSTI ID: 1576679; OSTI ID: 1605136; OSTI ID: 1607748
- Report Number(s):
- BNL-213530-2020-JAAM
Journal ID: ISSN 2050-7488; JMCAET
- Grant/Contract Number:
- SC0012704; AC02-06CH11357; 89243318CFE000003; MCF-677785
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Materials Chemistry. A
- Additional Journal Information:
- Journal Volume: 7; Journal Issue: 48; Journal ID: ISSN 2050-7488
- Publisher:
- Royal Society of Chemistry
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE
Citation Formats
Nguyen-Phan, Thuy-Duong, Wang, Congjun, Marin, Chris M., Zhou, Yunyun, Stavitski, Eli, Popczun, Eric J., Yu, Yang, Xu, Wenqian, Howard, Bret H., Stuckman, Mengling Y., Waluyo, Iradwikanari, Ohodnicki, Jr., Paul R., and Kauffman, Douglas R. Understanding three-dimensionally interconnected porous oxide-derived copper electrocatalyst for selective carbon dioxide reduction. United States: N. p., 2019.
Web. doi:10.1039/C9TA10135G.
Nguyen-Phan, Thuy-Duong, Wang, Congjun, Marin, Chris M., Zhou, Yunyun, Stavitski, Eli, Popczun, Eric J., Yu, Yang, Xu, Wenqian, Howard, Bret H., Stuckman, Mengling Y., Waluyo, Iradwikanari, Ohodnicki, Jr., Paul R., & Kauffman, Douglas R. Understanding three-dimensionally interconnected porous oxide-derived copper electrocatalyst for selective carbon dioxide reduction. United States. https://doi.org/10.1039/C9TA10135G
Nguyen-Phan, Thuy-Duong, Wang, Congjun, Marin, Chris M., Zhou, Yunyun, Stavitski, Eli, Popczun, Eric J., Yu, Yang, Xu, Wenqian, Howard, Bret H., Stuckman, Mengling Y., Waluyo, Iradwikanari, Ohodnicki, Jr., Paul R., and Kauffman, Douglas R. Fri .
"Understanding three-dimensionally interconnected porous oxide-derived copper electrocatalyst for selective carbon dioxide reduction". United States. https://doi.org/10.1039/C9TA10135G. https://www.osti.gov/servlets/purl/1583111.
@article{osti_1583111,
title = {Understanding three-dimensionally interconnected porous oxide-derived copper electrocatalyst for selective carbon dioxide reduction},
author = {Nguyen-Phan, Thuy-Duong and Wang, Congjun and Marin, Chris M. and Zhou, Yunyun and Stavitski, Eli and Popczun, Eric J. and Yu, Yang and Xu, Wenqian and Howard, Bret H. and Stuckman, Mengling Y. and Waluyo, Iradwikanari and Ohodnicki, Jr., Paul R. and Kauffman, Douglas R.},
abstractNote = {In this study, we have investigated a hierarchical CuO-derived inverse opal (CuO-IO) catalyst with high CO selectivity up to 80–90% and minimal H2 evolution at moderate potentials for CO2 electroreduction. The three-dimensionally (3D) structured, porous catalyst was composed of small CuO nanoparticles and exhibited a peak CO faradaic efficiency (FE) of 72.5% (±1.8), complete suppression of H2 formation, and good stability over 24 hours operation at –0.6 V versus the reversible hydrogen electrode (RHE). In situ Raman, X-ray absorption spectroscopy and X-ray diffraction measurements indicated reduction of the catalyst into metallic Cu0 oxidation state with dominant Cu(111) orientation under electrocatalytic conditions. We suggest that rapid depletion of CO2 and protons at the highly roughened catalyst surface likely increased the local pH during the electrolysis. The combination of C1 favoring Cu(111) surfaces and reduced local proton/CO2 availability facilitated selective conversion of CO2 into CO and reduced H2 and C2 products. Our work provides additional understanding of the structure–property relationships of 3D porous electrocatalysts for CO2 reduction applications by evaluating the crystallographic orientation, oxidation state, and crystallite size of a CO-selective CuO-IO catalyst under realistic working conditions.},
doi = {10.1039/C9TA10135G},
journal = {Journal of Materials Chemistry. A},
number = 48,
volume = 7,
place = {United States},
year = {Fri Dec 20 00:00:00 EST 2019},
month = {Fri Dec 20 00:00:00 EST 2019}
}
Web of Science
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