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クラウドデータセンターにおける炭素排出：クラウドとオンプレミスインフラの比較分析

Carbon Emission in Cloud Data Centers: A Comparative Analysis of Cloud and On-Premise Infrastructure (原題)

Md Abdullah All Noman

Zenodoプレプリント2026-08-20#省エネ経営インパクト: コスト削減対象セクター: it
DOI: 10.5281/zenodo.22031853
原典: https://zenodo.org/records/22031853
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🤖 gxceed AI 要約

日本語

本研究は、クラウドとオンプレミスのデータセンターのエネルギー効率と炭素排出を比較分析し、クラウドが同等のワークロードで年間エネルギー消費を87.8%削減できることを示した。さらに、再生可能エネルギー電源を利用することで排出量がさらに89.5%削減され、クラウド移行が組織のカーボンフットプリント削減に有効であると結論付けている。

English

This study compares energy efficiency and carbon emissions of cloud versus on-premise data centers, showing cloud achieves 87.8% lower annual energy consumption for equivalent workloads. With renewable energy grids, emissions drop an additional 89.5%, concluding cloud adoption is a viable pathway for reducing organizational carbon footprints.

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

日本の企業にとって、クラウド移行はScope 2排出量削減の有効な手段となり得る。SSBJ開示やカーボンニュートラル目標達成に向け、ITインフラの効率化は重要な要素であり、本分析は投資判断の根拠として活用できる。

In the global GX context

Globally, this study provides quantitative evidence supporting cloud migration as a decarbonization strategy, relevant for Scope 2 accounting and renewable energy procurement decisions. It aligns with ISSB and CSRD disclosure requirements by offering a methodology for assessing IT infrastructure emissions.

👥 読者別の含意

🔬研究者:Provides a comparative model for assessing cloud vs on-premise carbon footprints, useful for further research on IT decarbonization.

🏢実務担当者:Offers quantitative justification for cloud migration as part of corporate sustainability strategy and Scope 2 reduction.

🏛政策担当者:Highlights the role of cloud infrastructure in national decarbonization efforts, informing policies on data center efficiency and renewable energy.

📄 Abstract（原文）

Cloud computing has transformed the delivery of digital services; however, its rapid expansion has resulted in a substantial increase in global energy consumption and associated carbon emissions. This study examines the environmental sustainability of cloud infrastructure through a systematic review of secondary data on data center energy metrics and the primary factors contributing to carbon footprints. In addition, a comparative analytical model is developed to evaluate the energy efficiency and carbon impact of cloud-based systems relative to traditional on-premise infrastructure under three grid carbon intensity scenarios. The results demonstrate that cloud platforms achieve approximately 87.8% lower annual energy consumption per equivalent workload compared to traditional on-premise data centers under identical grid conditions, primarily due to superior Power Usage Effectiveness (PUE) of 1.1 versus 1.8 and higher server utilization rates of 65% versus 15%. This operational efficiency translates directly to an 87.8% reduction in carbon emissions when grid conditions are held constant; when cloud infrastructure is powered by a renewable energy grid (CI = 50 gCO₂e/kWh), emissions decrease by a further 89.5% relative to fossil-grid cloud deployment, reaching 1,446 kg CO₂e annually compared to 112,347 kg for on-premise systems. Despite these efficiencies, the continued growth of cloud services driven by AI workloads and big data presents ongoing sustainability challenges. This study concludes that cloud adoption is a viable and significant pathway for reducing organizational carbon footprints, provided that renewable energy integration and operational efficiency improvements keep pace with rising global demand.

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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。