Cost-Optimal Decarbonization Pathways for Data Centers in Japan: A Bottom-Up Model Integrating Location, Energy Systems, and Carbon Pricing
日本におけるデータセンターのコスト最適な脱炭素化経路：立地、エネルギーシステム、カーボンプライシングを統合したボトムアップモデル (AI 翻訳)
Jin Toyohara, Weisheng Zhou
🤖 gxceed AI 要約
日本語
日本のデータセンター産業の2040年カーボンニュートラル達成に向けたコスト最適化モデルを開発。地域分散型シナリオが集中型より18-23%低い総コストを達成し、冷却エネルギー削減、再生可能エネルギー調達コスト低減、炭素コスト削減、立地コストの4つのチャネルに分解。感度分析では炭素価格とハードウェア効率が重要。日本特有のデータと政策文脈に基づく。
English
This study develops a bottom-up cost optimization model (DC-DECOM) to evaluate decarbonization pathways for Japan's data center industry targeting 2040 carbon neutrality. A regional decentralization scenario achieves 18-23% lower total system cost than a centralized scenario, decomposed into cooling-energy reduction, lower renewable procurement, lower carbon cost, and lower siting cost. Sensitivity analysis identifies carbon price and hardware efficiency as key parameters. The model integrates location, energy systems, and carbon pricing, calibrated with Japan-specific data.
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
本論文は、日本のGX政策の中でもICTセクターの脱炭素化に焦点を当て、SSBJや有報における気候関連開示の裏付けとなる定量的な経路を提供する。特に地域分散型立地のコスト優位性は、日本の再生可能エネルギー偏在や地域活性化政策とも整合し、実務的な含意が大きい。
In the global GX context
This paper contributes to global GX scholarship by providing a comprehensive, bottom-up model for data center decarbonization. Its findings on the cost advantages of regional decentralization are relevant for countries with similar renewable energy distribution and can inform ISSB-aligned disclosure on transition plans. The integration of carbon pricing reflects best practices in climate finance.
👥 読者別の含意
🔬研究者:Provides a detailed bottom-up modeling framework (DC-DECOM) for analyzing data center decarbonization, with sensitivity analysis that can be adapted to other regions.
🏢実務担当者:Data center operators can use cost decomposition insights (cooling, renewable procurement, carbon, siting) to optimize location and technology investments under carbon pricing.
🏛政策担当者:Highlights cost benefits of regional decentralization for data centers, suggesting policy support to expand siting beyond metropolitan areas to leverage renewable energy and reduce system costs.
📄 Abstract（原文）
This study develops a bottom-up cost optimization model (DC-DECOM) to evaluate decarbonization pathways for Japan’s data center industry, targeting carbon neutrality of the information and communications technology (ICT) sector by 2040. The model represents Power Usage Effectiveness (PUE) as a dynamic function of ambient temperature and cooling technology, and integrates technology selection, regional energy supply, and carbon pricing within a single cost-minimization framework. Three scenarios are compared: a reference case (REF), a centralized carbon-neutral scenario (C-CN) that restricts new capacity to metropolitan areas, and a regional decentralization scenario (R-CN) that allows for nationwide siting. Input parameters are calibrated against data from the International Energy Agency (IEA), the Uptime Institute, Japan’s Ministry of Internal Affairs and Communications (MIC) White Papers, and the Japan Science and Technology Agency (JST). The R-CN scenario achieves the 2040 net-zero target at 18–23% lower total system cost than C-CN. The cost gap decomposes into four channels (cooling-energy reduction ∼35%, lower regional renewable procurement cost ∼30%, lower carbon cost ∼25%, and lower siting-related cost ∼10%). Sensitivity analysis identifies the carbon-price trajectory and the hardware-efficiency improvement rate as the most influential parameters; the R-CN advantage remains positive across all ±1σ parameter variations and across two combined-scenario stress tests.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.3390/en19102485first seen 2026-05-22 04:55:59 · last seen 2026-05-27 05:06:44
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