Atomic to Microscale Tuning of CO2 Electrolysis
Saurav Chandra Sarma a, Toby Hodges a, Elena C. Corbos a
a Johnson Matthey Technology Centre
Materials for Sustainable Development Conference (MATSUS)
Proceedings of MATSUS Fall 2024 Conference (MATSUSFall24)
#PECCO2 - Advances in (Photo)Electrochemical CO2 Conversion to Chemicals and Fuels
Lausanne, Switzerland, 2024 November 12th - 15th
Organizers: Deepak PANT, Adriano Sacco and juqin zeng
Oral, Saurav Chandra Sarma, presentation 251
DOI: https://doi.org/10.29363/nanoge.matsusfall.2024.251
Publication date: 28th August 2024

Electrochemical CO2 reduction (ECO2RR) is an attractive technology to produce energy dense carbon products, such as ethylene, alcohols, and syngas from renewable energy and carbon dioxide. Such products are key industrial feedstocks that, if produced renewably, can greatly contribute towards net-zero transition. This is the goal of the Horizon 2020 Ecofuel Project, which aims to optimise the complete process chain from CO2 direct air capture to electrochemical reduction, oligomerisation and fuel refining, targeting developments up to TRL 4/5.

 

In this talk I will discuss the CO2 electrolysis on CuO derived electrodes from atomic to microscale. DFT was used to select suitable dopants for enhancing CuO activity to C2+ products. The catalysts were successfully synthesized and characterised using the XRD, TEM and rotating disc electrode to understand the impact of the dopants. Finally, the catalysts were tested at an industrially relevant current density (>200 mAcm-2) in a 2-Gap flow cell. We performed in-situ TEM studies to understand the catalyst restructuring during reaction and conducted FIB-SEM studies before and after testing to probe the cross-section of the catalyst layer to understand the deactivation mechanism. We believe that achieving an optimal tuning of the entire CO2 electrolysis process, spanning from catalyst to electrode, holds the key to significantly enhancing performance metrics.

This work is funded by ECOFUEL Project under European Union's Horizon 2020 research and innovation programme (Grant Agreement No: 101006701). We are grateful to Consortium Partners for their valuable feedbacks and suggestions.

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