環境的に持続可能なデータセンターインフラ開発に向けた炭素排出と再生可能エネルギー統合戦略の分析
ANALYZING CARBON EMISSIONS AND RENEWABLE ENERGY INTEGRATION STRATEGIES FOR ENVIRONMENTALLY SUSTAINABLE DATA CENTRE INFRASTRUCTURE DEVELOPMENT (原題)
Prindal Rawal
🤖 gxceed AI 要約
日本語
クラウド・AI普及に伴いデータセンターの電力消費と炭素排出が急増する中、本論文は施設の電力消費、系統炭素強度、冷却需要、間接排出を分析し、再エネ調達・自家発電・PPA・蓄電池・デマンドレスポンス・負荷スケジューリング等の脱炭素戦略を評価する。年間調達とリアルタイム無炭素電力の乖離、間欠性、信頼性要件に着目し、計算能力拡大と排出削減・エネルギー強靱性を両立する統合フレームワークを提示する。
English
As AI and cloud drive data centre electricity demand, this study analyzes operational power use, grid carbon intensity, cooling, and indirect emissions, and evaluates decarbonization pathways including renewable procurement, on-site solar/wind, PPAs, storage, demand response, and workload scheduling. It highlights intermittency, energy matching, and the gap between annual procurement and real-time carbon-free electricity, offering an integrated framework aligning computational growth with emissions reduction and resilience.
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
AI・データセンター急増に伴う電力需要とScope2排出は、日本企業の再エネ調達・PPA活用・SSBJ開示対応で重要性が増す。特に年間再エネ比率と時間別無炭素電力の乖離は、国内の非化石証書・再エネ調達戦略を再考させる論点を提供する。
In the global GX context
Data centre decarbonization sits at the intersection of Scope 2 accounting, 24/7 carbon-free energy matching, and CSRD/ISSB disclosure of energy procurement. The paper's focus on real-time versus annual matching speaks directly to emerging global standards on hourly carbon accounting and corporate renewable procurement claims.
👥 読者別の含意
🔬研究者:データセンターの脱炭素経路と時間別再エネマッチングの定量枠組みを提供する。
🏢実務担当者:自社データセンターの再エネ調達・PPA・蓄電池・負荷調整の設計判断に活用できる。
🏛政策担当者:系統炭素強度や時間別無炭素電力基準の制度設計を検討する際の参考になる。
📄 Abstract(原文)
The global expansion of digital infrastructure, driven by cloud computing, artificial intelligence, streaming services, and increasingly data-intensive economic activities, has intensified concerns regarding the environmental footprint of data centres. Their substantial electricity requirements can increase carbon emissions when operations depend heavily on fossil-fuel-based power systems, creating tension between digital transformation and climate objectives. This study analyzes carbon emissions associated with data centre infrastructure and evaluates renewable energy integration strategies for improving environmental sustainability. The analysis considers operational electricity consumption, grid carbon intensity, cooling demand, facility efficiency, and indirect emissions associated with supporting energy infrastructure. It further examines renewable electricity procurement, on-site solar and wind generation, power purchase agreements, battery energy storage, demand response, workload scheduling, and grid-interactive operations as potential decarbonization pathways. Particular attention is given to intermittency, energy matching, reliability requirements, and differences between annual renewable procurement and real-time carbon-free electricity consumption. The study provides an integrated framework for aligning expanding computational capacity with emissions reduction, energy resilience, and long-term environmentally sustainable data centre infrastructure development.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/23178235first seen 2026-10-06 04:16:16
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