Department of Chemical Engineering, KPR Institute of Engineering and Technology, Tamilnadu, India.
Department of Mechanical Engineering, KPR Institute of Engineering and Technology, Tamilnadu, India.
Sci Total Environ. 2023 Aug 15;886:163913. doi: 10.1016/j.scitotenv.2023.163913. Epub 2023 May 5.
Carbon capturing is imperative to fight climate change as much carbon emissions are liberated into the atmosphere, leading to adversely negative environmental impacts. Today's world addresses all the issues with the aid of digital technologies like data pooling and artificial intelligence (AI). Accordingly, this study is articulated based on AI-assisted carbon capturing. Techniques including machine learning (ML), deep learning (DL), and hybrid techniques being adopted in carbon capture are discussed. The role of AI tools, frameworks, and mathematical models are also discussed herein. Furthermore, the confluence of AI in carbon capture patent landscape is explored. This study would allow researchers to envision the growth of AI-assisted carbon capture in mitigating climate change and meeting SDG 13 - climate action.
碳捕集对于应对气候变化至关重要，因为大量碳排放被释放到大气中，导致环境负面影响。当今世界借助数据池和人工智能（AI）等数字技术来解决所有问题。因此，本研究基于人工智能辅助碳捕集展开。讨论了包括机器学习（ML）、深度学习（DL）和混合技术在内的在碳捕获中采用的技术。本文还讨论了 AI 工具、框架和数学模型的作用。此外，还探讨了 AI 在碳捕集专利领域的融合。本研究将使研究人员能够预见人工智能辅助碳捕集在缓解气候变化和实现可持续发展目标 13-气候行动方面的发展。
