在能源密集型行业实现净零的最大化:人工智能在温室气体减排中的应用概述

IF 0.7 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Climate Change Pub Date : 2023-03-13 DOI:10.3233/jcc230003
Atul Saggar, B. Nigam
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引用次数: 1

摘要

全球变暖对环境的影响是一个重大问题,找到应对气候变化的有效方法是一个优先事项。本文研究了如何利用人工智能(AI)来减少温室气体(GHG)排放,并支持应对气候变化的努力,特别关注化学工业。本研究提出了一个理论框架,并对实现温室气体净零排放和建立化学工业碳中和地位的技术和非技术解决方案进行了比较分析。其目的是评估人工智能作为减少化学工业二氧化碳排放的工具的潜在作用,并为实现二氧化碳净零排放的全球目标做出贡献。该分析将评估人工智能作为减少化学工业温室气体排放的工具的功效,并探索其在优化流程、预测和减少排放以及支持可持续实践发展方面的潜力。通过利用人工智能,有可能确定并实施通过传统方法可能无法实现的有效解决方案。最终,该研究旨在通过强调人工智能作为减少化学工业温室气体排放工具的潜力,为应对气候变化的持续努力做出贡献。
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Maximising Net Zero in Energy-Intensive Industries: An Overview of AI Applications for Greenhouse Gas Reduction
The impact of global warming on the environment is a significant concern, and finding effective ways to address climate change is a priority. This paper investigates how Artificial Intelligence (AI) can be utilised to reduce greenhouse gas (GHG) emissions and support efforts to combat climate change, with a particular focus on the chemical industry. The study presents a theoretical framework and comparative analysis of both technological and non-technological solutions to achieve net-zero GHG emissions and establish a carbon-neutral status in the chemical industry. The aim is to assess the potential role of AI as a tool for reducing CO2 emissions from the chemical industry and contributing to the global goal of achieving net-zero CO2 emissions. The analysis will evaluate the efficacy of AI as a tool in reducing GHG emissions in the chemical industry and explore its potential for optimising processes, predicting and reducing emissions, and supporting the development of sustainable practices. By utilising AI, it may be possible to identify and implement effective solutions that may not have been possible through conventional methods. Ultimately, the study aims to contribute to the ongoing efforts to address climate change by highlighting the potential of AI as a tool for reducing GHG emissions in the chemical industry.
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来源期刊
Journal of Climate Change
Journal of Climate Change METEOROLOGY & ATMOSPHERIC SCIENCES-
自引率
16.70%
发文量
18
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