The AI–energy storage nexus: opportunities for clean energy transitions
AIとエネルギー貯蔵の連携：クリーンエネルギー移行の機会 (AI 翻訳)
Behnam Zakeri, Kavita Surana, Julian David Hunt, Volker Krey, Keywan Riahi
🤖 gxceed AI 要約
日本語
データセンターの電力需要増加を、エネルギー貯蔵の拡大と組み合わせることでクリーンエネルギー移行の機会に転換できると論じる。蓄電がピーク需要の削減や再生可能エネルギーのマッチング向上に寄与し、AIが蓄電システムの設計・運用を改善する。政策提言も含む。
English
This paper argues that the surge in data center electricity demand can be turned into an opportunity by pairing AI growth with rapid energy storage deployment. Storage reduces peak grid imports, improves renewable matching, and enhances power quality, while AI improves storage design and operation. Policy recommendations ensure AI infrastructure supports clean energy transitions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本ではデータセンターの電力需要増加が課題となっており、蓄電技術の活用は再生可能エネルギーの導入拡大と電力系統の安定化に寄与する。GX政策やエネルギー基本計画の策定に示唆を与える。
In the global GX context
Globally, this paper addresses the intersection of AI infrastructure growth and clean energy transitions, relevant to TCFD/ISSB climate risk assessments and transition finance. It offers policy insights for aligning data center expansion with net-zero goals.
👥 読者別の含意
🔬研究者:Provides a framework for analyzing AI-energy storage synergies and policy implications for clean energy transitions.
🏢実務担当者:Highlights opportunities for data center operators to leverage storage for 24/7 clean energy and cost savings.
🏛政策担当者:Offers policy recommendations to ensure AI growth supports rather than hinders clean energy transitions.
📄 Abstract（原文）
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.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.egycc.2026.100259first seen 2026-07-31 05:23:50
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