A review of smart integrated energy systems towards industrial carbon neutrality: Opportunity and challenge

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Authors: Yihui Mao, Nan Zhang, Pingyuan Shi, Wei Zhong, Xiaojie Lin
Cited by: 6
References: 283

Abstract

The complex operation of industrial integrated energy systems (IES), with their coupled energy, material, and information flows, is being transformed by artificial intelligence (AI). This paper reviews the AI-driven advancements in IES modeling, design, and operation. We explore the potential of large language models-assisted decision-making and the energy–AI–industrial multidisciplinary nexus. The deep integration of AI and energy science promises to reshape industrial energy management and accelerate the net-zero carbon transition.

Fields of Study & Subjects

Integrated Energy Systems Optimization Water-Energy-Food Nexus Studies Environmental Impact and Sustainability

Publication details

Journal / source
npj Thermal Science and Engineering
Publisher
Springer Science and Business Media LLC
Volume
1
Issue
1
Publication date
2 February 2026
Language
EN