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Sustainable Transition of Underground Gas Storage: A Unified Engineering Framework from Methane and Carbon Dioxide to Hydrogen

地下ガス貯蔵の持続可能な移行：メタン・二酸化炭素・水素の統一工学フレームワーク (AI 翻訳)

Xuerui Wang, Zekun Zhang, Jianbo Zhang, Yang Zhao, Zhiyuan Wang

Sustainability📚 査読済 / ジャーナル2026-05-07#水素Origin: CN
DOI: 10.3390/su18104622
原典: https://doi.org/10.3390/su18104622
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🤖 gxceed AI 要約

日本語

本レビューは、地下ガス貯蔵（UGS）施設を従来の化石燃料ピークシェービングから、水素やCO2を含む大規模再生可能エネルギー貯蔵ハブへ転換するための統一工学フレームワークを提示する。各種地層の適応性を物性ベンチマークマトリクスで比較し、岩塩空洞の優位性や多孔質媒体での生物地球化学的課題を明らかにした。また、THMCB連成機構に基づく坑井・地質バリアの健全性評価、高頻度繰返し荷重下の疲労破壊や材料劣化などのリスクを体系的にレビューし、物理・デジタル・政策次元を統合した将来の進化ロードマップを示した。

English

This review presents a unified engineering framework for transitioning underground gas storage (UGS) from traditional fossil fuel peak-shaving to large-scale renewable energy storage hubs for hydrogen and CO2. It compares formation adaptability using a property benchmark matrix, highlighting salt cavern advantages and biogeochemical challenges in porous media. The paper systematically reviews wellbore and geological barrier integrity via THMCB coupling, elucidates critical risks like fatigue failure under cyclic loading, and outlines a future roadmap integrating physical, digital, and policy dimensions.

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

日本でも水素サプライチェーンやCCUSの整備が進む中、既存ガス貯蔵施設の転用可能性を体系的に評価した本レビューは、技術的課題の抽出や安全基準策定に資する。特に岩塩坑の要件や多孔質層での課題整理は、日本の地質条件への適用検討の基礎となる。

In the global GX context

As global hydrogen and CCUS infrastructure expands, this review offers a critical engineering benchmark for repurposing existing gas storage assets, which is directly relevant to ISSB-aligned transition planning and TCFD scenario analysis. The framework aids practitioners in assessing technical feasibility and risk, supporting credible low-carbon transition strategies.

👥 読者別の含意

🔬研究者:Provides a comprehensive THMCB framework and property benchmark matrix for hydrogen, CO2, and methane storage, guiding future experimental and modeling work.

🏢実務担当者:Offers practical insights on repurposing UGS facilities, including adaptability criteria, risk assessment, and digital twin integration for operational planning.

🏛政策担当者:Highlights the need for standardized LCA and policy frameworks to enable safe and efficient UGS transition, informing regulatory design for hydrogen and CCS.

📄 Abstract（原文）

Underground Gas Storage (UGS) is transitioning from traditional fossil fuel peak-shaving facilities into comprehensive hubs for Terawatt-hour-scale Terawatt-hour (TWh) scale renewable energy storage. The unique physicochemical properties of diverse fluids, such as the negative Joule–Thomson coefficient of hydrogen (−0.03 K/bar), present complex engineering adaptability challenges. Since existing studies primarily focus on single mechanisms or specific geological types, this review integrates a unified engineering framework to evaluate the repurposing potential and retrofitting requirements of existing oil and gas assets. By compiling a property benchmarking matrix for methane, carbon dioxide, and hydrogen, the storage adaptability of various geological formations is summarized. Salt caverns exhibit strong adaptability to highly diffusive and reactive fluids due to their high salinity (exceeding 150 g/L) and mechanical stability, whereas porous media offer massive capacity (more than 10 times) but require overcoming severe biogeochemical obstacles. Based on thermo–hydro–mechanical–chemical–biological (THMCB) coupling mechanisms, an integrity evaluation system for artificial wellbore and natural geological barriers is systematically reviewed. Critical risks, including fatigue failure under high-frequency cyclic loading, material degradation, gas leakage, and indirect Global Warming Potential (GWP), are elucidated. A future evolution route integrating physical, digital, and policy dimensions is outlined. This roadmap emphasizes Hydrogen-Enriched Compressed Natural Gas (HCNG)synergistic storage, dynamic risk control utilizing digital twins and Artificial Intelligence (AI), and standardized Life Cycle Assessment mechanisms (LCA), providing a scientific basis for the sustainable transition of UGS facilities.

🔗 Provenance — このレコードを発見したソース

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