The AI–energy storage nexus: opportunities for clean energy transitions

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Authors: Behnam Zakeri, Kavita Surana, Julian David Hunt, Volker Krey, Keywan Riahi
Cited by: 1
References: 9

Abstract

The accelerated demand for data centres has sparked concerns about the energy and climate footprint of Artificial Intelligence (AI). We argue that this challenge can be turned into an opportunity by pairing AI growth with the rapid scaling of energy storage deployment. The AI–energy storage nexus can shorten data centres’ time-to-power and access to 24/7 clean energy, while investments by large digital companies in energy storage innovation and deployment can create spillovers for wider clean and flexible power systems. However, this nexus is not always climate-compatible without appropriate policy and additional clean electricity supply. Here, we discuss how energy storage can reduce peak grid import requirements, improve renewable energy matching, and enhance power quality and reliability for data centres. We also discuss how AI can improve the design, operation, and system integration of energy storage. We conclude with policy recommendations to ensure that the growth of AI compute infrastructure reinforces, rather than slows, clean energy transitions.

Fields of Study & Subjects

Integrated Energy Systems Optimization Microgrid Control and Optimization Smart Grid Energy Management

Publication details

Journal / source
Energy and Climate Change
Publisher
Elsevier BV
Volume
7
Pages
100259–100259
Publication date
9 July 2026
Language
EN