AI Data Centers and Power System Sustainability: Understanding the Sustainability Implications of AI-Driven Data Centers on Power Systems
AIデータセンターと電力システムの持続可能性：AI駆動型データセンターが電力システムに与える持続可能性の含意を理解する (AI 翻訳)
Yuhao Huang, Novarun Deb, Hamidreza Zareipour
🤖 gxceed AI 要約
日本語
本論文は、AIデータセンターの急増する電力需要が電力システムの持続可能性に与える影響を分析。短期的運転と長期的計画の両面から、排出増加リスクとクリーンエネルギー統合の機会を評価。企業の持続可能性経路と炭素会計の実践も検討し、より持続可能な統合を目指す。
English
This paper analyzes the sustainability implications of rapidly growing AI data center electricity demand on power systems. It evaluates both short-run operational and long-run planning mechanisms, assessing risks of increased emissions and opportunities for clean energy integration, grid flexibility, and carbon accounting practices.
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需要増加が予想され、再エネ調達や系統制約が課題。本論は日本のGX政策（例：グリーン成長戦略）やデータセンターのエネルギー効率化に示唆を与える。
In the global GX context
Globally, data center load growth is challenging clean energy deployment. This work highlights the need for integrated planning, grid flexibility, and robust carbon accounting—key issues under frameworks like ISSB, TCFD, and CSRD.
👥 読者別の含意
🔬研究者:Provides a framework for analyzing data center power system interactions and identifies research gaps in carbon accounting and grid flexibility.
🏢実務担当者:Offers guidance on corporate sustainability pathways and clean energy procurement strategies for data center operators.
🏛政策担当者:Highlights the need for grid planning and regulatory frameworks that balance data center growth with decarbonization goals.
📄 Abstract（原文）
The rapid expansion of artificial intelligence (AI) has driven unprecedented growth in data center electricity demand. The scale and pace of this load growth carry significant implications for the sustainability of electric power systems. On the one hand, rapid, spatially concentrated data center load growth is outpacing clean energy deployment in several major regions, raising emissions and challenging both grid flexibility and reliability. On the other hand, this fast-developing and capital-intensive sector offers abundant opportunities to advance sustainability through clean energy integration and operational innovations. This article provides an overview of the mechanisms through which data center affect power system sustainability, underscoring both risks and the potential. Specifically, this article (i) characterizes AI data center load behavior and categorizes electricity supply configurations by function and sustainability profile, as well as situates these loads within global and regional electricity demand trends; (ii) analyzes sustainability impacts across short-run operational and long-run planning mechanisms, evaluates effects on grid carbon emissions and renewable energy utilization, and feasibility of offering system flexibility and participating in ancillary service; and (iii) evaluates real-world corporate sustainability pathways and highlighting both the system benefits and feasibility limits of current carbon accounting practices. The goal of this work is to synthesize existing knowledge and technological developments and to guide research and development toward a more sustainable integration of AI data centers and electric power systems.
🔗 Provenance — このレコードを発見したソース
- arXiv https://arxiv.org/abs/2606.21064first seen 2026-06-24 04:11:52
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。