Issue 9, 2024

Performance assessment of photoelectrochemical CO2 reduction photocathodes with patterned electrocatalysts: a multi-physical model-based approach

Abstract

Photoelectrochemical (PEC) carbon dioxide reduction (CO2R) devices stand as a promising route for converting intermittent solar energy into storable fuels. The performance of the PEC CO2R device requires simultaneous minimization of optical obstruction by the catalyst and maximization of the junction barrier height to facilitate charge separation. A photocathode coated with patterned electrocatalysts is a promising solution due to its flexibility in tuning optics and interfacial charge separation by size and coverage. This study reports typical p-Si photocathodes coated with patterned Ag electrocatalysts for efficient CO2R under various catalyst sizes and coverage designs. Notably, we investigated the effects of patterned electrocatalysts on optical absorption due to obstruction and interfacial barrier height rectification due to the pinch-off effect. A coupled multi-physical model-based framework was developed to quantitatively analyze the trade-offs among optical propagation, charge transport, mass transfer, and electrochemical reactions in a PEC CO2R photocathode. We found that an optimal catalyst coverage of 0.4 can reconcile the interplay between optical reduction and the catalyst's available surface area, leading to an achievable solar-to-carbon monoxide conversion efficiency (ηCO) of up to 9.6%, and decreasing the boundary layer thickness of the electrolyte to 25 μm can achieve a ηCO of 11.2%. This modeling framework offers valuable insights into the intricate interplay between optics, charge transport, and electrochemical behavior and provides a potent tool for guiding the engineering of high-performance CO2R photocathodes featuring patterned electrocatalysts.

Graphical abstract: Performance assessment of photoelectrochemical CO2 reduction photocathodes with patterned electrocatalysts: a multi-physical model-based approach

Supplementary files

Article information

Article type
Paper
Submitted
05 Feb 2024
Accepted
04 Mar 2024
First published
06 Mar 2024

Energy Environ. Sci., 2024,17, 3032-3041

Performance assessment of photoelectrochemical CO2 reduction photocathodes with patterned electrocatalysts: a multi-physical model-based approach

Y. Chen, C. Xiang and M. Lin, Energy Environ. Sci., 2024, 17, 3032 DOI: 10.1039/D4EE00575A

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