Electrocatalytic CO2 reduction to C2H4: From lab to fab

Guo, Zeyu; Yang, Fabao; Li, Xiaotong; Zhu, Huiwen; Do, Hainam; Loon Fow, Kam; Hirst, Jonathan D.; Wu, Tao; Ye, Qiulin; Peng, Yaqi; Bin Wu, Hao; Wu, Angjian; Xu, Mengxia

Abstract

The global concerns of energy crisis and climate change, primarily caused by carbon dioxide (CO2), are of utmost importance. Recently, the electrocatalytic CO2 reduction reaction (CO2RR) to high value-added multi-carbon (C2+) products driven by renewable electricity has emerged as a highly promising solution to alleviate energy shortages and achieve carbon neutrality. Among these C2+ products, ethylene (C2H4) holds particular importance in the petrochemical industry. Accordingly, this review aims to establish a connection between the fundamentals of electrocatalytic CO2 reduction reaction to ethylene (CO2RR-to-C2H4) in laboratory-scale research (lab) and its potential applications in industrial-level fabrication (fab). The review begins by summarizing the fundamental aspects, including the design strategies of high-performance Cu-based electrocatalysts and advanced electrolyzer devices. Subsequently, innovative and value-added techniques are presented to address the inherent challenges encountered during the implementations of CO2RR-to-C2H4 in industrial scenarios. Additionally, case studies of the techno-economic analysis of the CO2RR-to-C2H4 process are discussed, taking into factors such as cost-effectiveness, scalability, and market potential. The review concludes by outlining the perspectives and challenges associated with scaling up the CO2RR-to-C2H4 process. The insights presented in this review are expected to make a valuable contribution in advancing the CO2RR-to-C2H4 process from lab to fab.

Citation

Guo, Z., Yang, F., Li, X., Zhu, H., Do, H., Loon Fow, K., …Xu, M. (2024). Electrocatalytic CO2 reduction to C2H4: From lab to fab. Journal of Energy Chemistry, 90, 540-564. https://doi.org/10.1016/j.jechem.2023.11.019

• Journal Article Type: Review
• Acceptance Date: Nov 9, 2023
• Online Publication Date: Nov 25, 2023
• Publication Date: 2024-03
• Deposit Date: Dec 7, 2023
• Publicly Available Date: Dec 7, 2023
• Journal: Journal of Energy Chemistry
• Print ISSN: 2095-4956
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 90
• Pages: 540-564
• DOI: https://doi.org/10.1016/j.jechem.2023.11.019
• Keywords: CO2 electroreduction reaction; Ethylene; Gas diffusion electrode; Machine learning; Density functional theory; Techno-economic analysis
• Public URL: https://nottingham-repository.worktribe.com/output/28147438
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S2095495623006654?via%3Dihub