Combining machine learning with multi-physics modelling for multi-objective optimisation and techno-economic analysis of electrochemical CO2 reduction process

Combining machine learning with multi-physics modelling for multi-objective optimisation and techno-economic analysis of electrochemical CO2 reduction process

As a carbon capture and utilization (CCU) technology, gas diffusion electrode (GDE) based electrochemical CO2 reduction reaction (eCO2RR) can convert CO2 to valuable products, such as formate and CO. However, the electrode parameters and operational conditions need to be studied and optimised to enh...

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Bibliographic Details
Main Authors: Lei Xing, Hai Jiang, Xingjian Tian, Huajie Yin, Weidong Shi, Eileen Yu, Valerie J. Pinfield, Jin Xuan
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Carbon Capture Science & Technology
Subjects:
Electrochemical CO2 reduction
Gas diffusion electrode
Multi-physics modelling
Machine learning
Multi-objective optimisation
Online Access:http://www.sciencedirect.com/science/article/pii/S2772656823000428

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