Li et al. (2024): Integration of Carbon Dioxide Removal (CDR) Technology and Artificial Intelligence (AI) in Energy System Optimization

Guanglei Li, Tengqi Luo, Ran Liu, Chenchen Song, Congyu Zhao, Shouyuan Wu, Zhengguang Liu IN: Processes 12(2), 402, https://doi.org/10.3390/pr12020402

In response to the urgent need to address climate change and reduce carbon emissions, there has been a growing interest in innovative approaches that integrate AI and CDR technology. This article provides a comprehensive review of the current state of research in this field and aims to highlight its potential implications with a clear focus on the integration of AI and CDR. Specifically, this paper outlines four main approaches for integrating AI and CDR: accurate carbon emissions assessment, optimized energy system configuration, real-time monitoring and scheduling of CDR facilities, and mutual benefits with mechanisms. 

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