Maximising Net Zero in Energy-Intensive Industries: An Overview of AI Applications for Greenhouse Gas Reduction

Article type: Research Article

Authors: Saggar, Atul^{a; *} | Nigam, Bhawna^b

Affiliations: [a] Swiss School of Business and Management, Geneva, Switzerland | [b] Institute of Engineering and Technology, DAVV, Indore, India

Correspondence: [*] Corresponding Author. [email protected]

Abstract: 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.

Keywords: Artificial Intelligence, Net-Zero, Reducing Greenhouse Gases, Climate Change, Optimizing Energy Intensive Industry

DOI: 10.3233/JCC230003

Journal: Journal of Climate Change, vol. 9, no. 1, pp. 13-23, 2023