ストック連関型の水・物質循環性フレームワーク：データセンター冷却における水と炭素のトレードオフを定量化
A stock coupled water and material circularity framework quantifies the trade off between water and carbon in data center cooling (原題)
Mohammad Javad Kordani, Milad Mokhtari, Amir Hossein Nimjerdi, Seyedhossein Sajadifar
🤖 gxceed AI 要約
日本語
データセンター冷却を対象に、水フットプリント（ISO 14046）と物質フロー分析を統合したストック連関型フレームワークを構築。冷却水需要をハードウェアの設置ストックと更新サイクルに結び付け、モンテカルロ法によるパレート選別とAWARE水ストレス重み付けを適用した。100MW施設の試算では、密閉型冷却は水循環性が高い一方で炭素ペナルティを伴い、多くの抽出で液浸・直接冷却に劣後。水ストレス流域では運用上の水循環性が大幅に低下する。
English
This paper builds a stock-coupled water–material flow analysis framework integrating ISO 14046 water footprinting with Monte Carlo Pareto screening for data-center cooling. Cooling-water demand is tied to installed hardware stock and refresh cycles, with embodied Scope 3 water and AWARE scarcity weighting. For a 100 MW facility, sealed closed-loop cooling achieves high water circularity but incurs a carbon penalty, leaving it dominated in most draws; operational water circularity in a stressed basin is an order of magnitude lower than in an abundant one.
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・水消費がGX政策と地域立地の論点になりつつある。本稿は水を炭素と同列の循環会計に置くことを提唱し、SSBJや有報での水リスク開示を検討する日本企業・自治体に示唆を与える。ただし数値は例示的で、制度要件への直接接続は限定的。
In the global GX context
Globally, data-center water use is emerging as a disclosure gap under TCFD/ISSB and CSRD, where water is often treated separately from carbon. This framework argues for placing water on the same circular-accounting footing as carbon in efficiency mandates and siting rules, offering a methodological bridge for integrated water–carbon disclosure. Its illustrative, parameter-conditional results limit immediate regulatory application.
👥 読者別の含意
🔬研究者:水と炭素を統合した循環性評価手法に関心のある研究者にとって、ストック連関型WFA–MFAとモンテカルロ・パレート選別の応用例として参考になる。
🏢実務担当者:データセンターの冷却方式選定や水リスク評価において、水循環性と炭素のトレードオフを定量化する視点を提供する。
🏛政策担当者:データセンターの立地規制や効率基準に水循環性指標を組み込む際の方法論的示唆を与えるが、数値は例示的で政策採用には追加検証が必要。
📄 Abstract（原文）
Abstract Circular-economy research has centered on materials, carbon and energy, while water circularity remains fragmented and rarely linked to data-center water demand. The gap matters across the Sustainable Development Goals: the build-out pursued under SDG 9 claims directly on SDG 6, 12 and 13. This paper develops a stock-coupled water–material flow analysis (WFA–MFA) framework integrating ISO 14,046 water-footprint assessment with Monte Carlo-based Pareto screening. Cooling-water demand is coupled to the installed hardware stock and refresh cycle; embodied (scope-3) fabrication water is included; and AWARE scarcity weighting is applied at each component’s own basin. For a 100 MW reference facility, 10,000 draws propagate uncertainty in cooling and power effectiveness, embodied intensity, fab recycling and grid carbon. Both indices increase with performance. Against an evaporative baseline, counting operational cooling electricity only, sealed closed-loop cooling reaches high water circularity but incurs a carbon penalty that leaves it dominated, within the sampled space, in 78% of draws by direct-to-chip and 53% by immersion. Embodied water constrains low-evaporation designs, supplying about 55% of the water they mobilize, a share robust across the disclosed ranges. Operational water circularity in a stressed basin is assessed an order of magnitude below an identical facility in an abundant one. All figures are illustrative, conditional on the assumed parameter ranges and screened from a finite sample. The boundary omits cooling-hardware and dielectric-fluid manufacture, which favors the liquid architectures; no comparative superiority is claimed. Water nonetheless belongs on the same circular accounting footing as carbon in efficiency mandates and siting rules.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s43621-026-04733-1first seen 2026-09-21 04:39:55
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