关闭矿井分布式压缩空气储能理论框架与技术构想

Theoretical and technical framework for distributed compressed air energy storage in closed mines

  • 摘要: 关闭矿井压缩空气储能(Compressed Energy Storage,CAES)为“十五五”时期大规模储能建设提供了全新方案,但是历经采动影响的关闭矿井地下空间裂隙发育、渗透性强,对CAES技术提出了特殊挑战。为此,针对关闭矿井“窄截面、长距离、高泄漏、高损伤”4个特征,提出了将废弃巷道分隔为独立储气单元的分布式压缩空气储能新构想,各单元既可独立充放响应电网负荷波动,又可多单元协同调度维持系统稳定性;然后,围绕能量转化与分布式储能协调控制、空气渗漏机制与储能库容评估、围岩时效变形空间重构与分布式空间特征提取4个科学问题,构建了狭长空间压缩空气能量转化热力学、热−气−液−固(Thermo-Hydro-Gas-Mechanical,THGM)多场耦合渗漏、循环荷载围岩时效损伤、多源多级信息融合与能效评估的理论框架;而后,提出了多洞室组合协同控制技术、THGM耦合条件下空气渗漏表征与库容评估技术、压缩空气充放循环矿井围岩健康分级与空间重构技术、分布式压缩空气储能多源多级数据融合与能效评估技术4个关键技术体系;最后,明确了关闭矿井分布式压缩空气储能“基础研究—技术攻关—集成验证—工程示范”4个阶段发展规划,预期2032年前建成百兆瓦级工程示范,形成“关闭矿井资源化利用+大规模清洁储能+矿区绿色转型”协同发展新模式,并从规划、科技、产业、标准4个方面提出发展建议,为我国大规模储能建设、能源绿色低碳转型与深地空间战略实施提供支撑。

     

    Abstract: Compressed air energy storage (CAES) in closed mines offers a novel solution for large-scale energy storage during the 15th Five-Year Plan period. However, underground spaces disturbed by mining are often highly fractured and permeable, posing unique challenges for CAES. To address four inherent characteristics of closed mines, namely narrow cross-sections, long-distance roadways, high air leakage, and highly damaged surrounding rock, this paper proposes a distributed CAES concept that divides abandoned roadways into independent storage units. Each unit can charge and discharge independently to respond to grid load fluctuations, and multiple units can operate collaboratively to maintain system stability. Focusing on four key scientific problems, including energy conversion and distributed storage coordination control, air leakage mechanisms and storage capacity evaluation, time-dependent deformation and spatial reconstruction of surrounding rock, as well as distributed spatial feature extraction, this work establishes four corresponding theoretical frameworks. These are thermodynamics of compressed air energy conversion in narrow-long spaces, a thermo-hydro-gas-mechanical (THGM) multi-field coupling model for leakage analysis, time-dependent damage of surrounding rock under cyclic loading, and multi-source multi-level data fusion for energy efficiency evaluation; time-dependent damage of surrounding rock under cyclic loading; and multi-source, multi-level data fusion for energy efficiency evaluation. Based on these frameworks, four key technology systems are proposed: multi-cavern collaborative control; air leakage characterization and storage capacity evaluation under THGM coupling; surrounding rock health classification and spatial reconstruction under compressed air charging–discharging cycles; and multi-source, multi-level data fusion for energy efficiency evaluation of distributed CAES. Finally, a four-stage development plan is defined, including basic research, technological breakthroughs, integrated verification, and engineering demonstration. A hundred-megawatt-scale engineering demonstration is expected by 2032, forming a collaborative development model that integrates closed mine resource utilization, large-scale clean energy storage, and green mining area transformation. Development suggestions are provided from the perspectives of planning, technology, industry, and standardization, aiming to support China’s large-scale energy storage construction, green and low-carbon energy transition, and implementation of the deep-earth space strategy.

     

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