Design of Experiments Guided Identification of Coupled Component Interactions in Cu Gas Diffusion Electrodes for Electrochemical CO <sub>2</sub> Reduction to Multi‐Carbon Products

ABSTRACT A Design of Experiments (DoE) approach is used in the design and development of gas diffusion electrodes (GDEs) for electrochemical CO 2 reduction (CO 2 R). Rational GDE design remains challenging due to the presence of multiple components and their complex effects on performance. Here, five electrode components, Cu, carbon, polytetrafluoroethylene, Nafion, and Sustainion, are evaluated for electrochemical CO 2 R using the DoE approach by evaluating 17 distinct single‐active‐layer (SAL)‐GDEs. Experimental results are analyzed using a definitive screen design (DSD) framework to identify component‐performance relationships, including first‐ and second‐order effects. Nafion is found to strongly affect overall product distribution, while carbon is most influential for improving C 2 H 4 selectivity. The DSD models are validated with experiments, enabling formulation predictions beyond the original design space. Following model predictions, increasing carbon loading was experimentally shown to improve C 2 H 4 selectivity, achieving a peak faradaic efficiency of 36.1%. The improvement is rationalized by structural characterization, which reveals that increased carbon loading leads to electrode porosity and Cu dispersion favorable for CO 2 transport and interfacial surface area. This work demonstrates the strength of statistical methods for rationally designing complex, multi‐component GDE architectures and understanding interacting component effects, highlighting potential impact across a wide range of electrochemical conversion systems.

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Journal
Advanced Energy Materials
Published
2026-06-18
DOI
https://doi.org/10.1002/aenm.71201
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
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article

Design of Experiments Guided Identification of Coupled Component Interactions in Cu Gas Diffusion Electrodes for Electrochemical CO 2 Reduction to Multi‐Carbon Products

Miyeon Chang, Kyeong‐Min Jeong, Dongrak Oh, Seon Woo Hwang et al.
Advanced Energy Materials
CO2 Reduction Techniques and Catalysts
article

Design of Experiments Guided Identification of Coupled Component Interactions in Cu Gas Diffusion Electrodes for Electrochemical CO 2 Reduction to Multi‐Carbon Products

Miyeon Chang, Kyeong‐Min Jeong, Dongrak Oh, Seon Woo Hwang, Byungwook Jeon, Ji‐Wook Jang, Je Min Yu, Jungwon Park, Tae Hyung Lee, Dong Un Lee, Daniel Curulla-Ferré, Jaehyuk Shim, Thomas F. Jaramillo, Yi Xu, Katherine Yan, Jinyoung Lee, Joel Mihály Jenny, Samantha Reising, Sang‐Won Lee
article en

Abstract

ABSTRACT A Design of Experiments (DoE) approach is used in the design and development of gas diffusion electrodes (GDEs) for electrochemical CO 2 reduction (CO 2 R). Rational GDE design remains challenging due to the presence of multiple components and their complex effects on performance. Here, five electrode components, Cu, carbon, polytetrafluoroethylene, Nafion, and Sustainion, are evaluated for electrochemical CO 2 R using the DoE approach by evaluating 17 distinct single‐active‐layer (SAL)‐GDEs. Experimental results are analyzed using a definitive screen design (DSD) framework to identify component‐performance relationships, including first‐ and second‐order effects. Nafion is found to strongly affect overall product distribution, while carbon is most influential for improving C 2 H 4 selectivity. The DSD models are validated with experiments, enabling formulation predictions beyond the original design space. Following model predictions, increasing carbon loading was experimentally shown to improve C 2 H 4 selectivity, achieving a peak faradaic efficiency of 36.1%. The improvement is rationalized by structural characterization, which reveals that increased carbon loading leads to electrode porosity and Cu dispersion favorable for CO 2 transport and interfacial surface area. This work demonstrates the strength of statistical methods for rationally designing complex, multi‐component GDE architectures and understanding interacting component effects, highlighting potential impact across a wide range of electrochemical conversion systems.

Advanced Energy Materials
SLAC National Accelerator Laboratory (US), National University (SD), Total (Belgium) (BE), Ulsan National Institute of Science and Technology (KR), École Polytechnique Fédérale de Lausanne (CH), Stanford University (US)
Responsible consumption and production
Openalex Percentile: Top 19%
CO2 Reduction Techniques and Catalysts
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