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Xia Jingquan, Shen Xianda, Zhang Fengshou
🤖 gxceed AI 要約
日本語
本研究は、地下水素貯蔵における多孔質媒体中の水素輸送に特徴的な「フィンガリング」現象に着目し、水素の低密度・低粘度・高拡散性がもたらす流動挙動と微視的孔隙での液捕捉を分析する。貯留効率と回収率向上のための基礎的知見を提供する。
English
This study investigates the distinctive flow phenomena, particularly fingering, that occur during hydrogen transport in porous media for underground hydrogen storage. The authors analyze how hydrogen's low density, low viscosity, and high diffusivity affect flow behavior, leading to liquid entrapment at the microscale. These insights are critical for optimizing storage efficiency and recovery of stored hydrogen.
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
水素は日本のGX戦略の重要柱であり、地下貯蔵は大規模需要への供給安定化に寄与する。本論文が明らかにする多孔質媒体内の流動現象は、実用化に向けた貯留効率向上の基礎知見となる。
In the global GX context
Underground hydrogen storage is being scaled up globally as part of the clean hydrogen economy. This study's pore-scale analysis of hydrogen flow provides fundamental physics needed for designing efficient storage reservoirs, relevant to ISSB/TCFD-aligned energy transition projects.
👥 読者別の含意
🔬研究者:Provides pore-scale transport mechanisms essential for modeling and designing underground hydrogen storage reservoirs.
🏛政策担当者:Highlights the importance of R&D support for hydrogen storage infrastructure to meet decarbonization targets.
📄 Abstract（原文）
With the continuous growth in clean energy demand, underground hydrogen storage technology has gradually emerged as a research hotspot. Hydrogen exhibits stronger diffusion capability, lower density, and lower viscosity compared to air, and these physical properties cause its transport behavior in porous media to display a series of unique flow phenomena, among which the "fingering" phenomenon is a typical example. This phenomenon frequently leads to liquid entrapment within microscale pore s...
🔗 Provenance — このレコードを発見したソース
- chinarxiv https://chinaxiv.org/abs/202507.00435first seen 2026-08-02 18:17:09
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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。