岩土力学 ›› 2026, Vol. 47 ›› Issue (2): 470-484.doi: 10.16285/j.rsm.2024.1333CSTR: 32223.14.j.rsm.2024.1333

• 压缩空气储能地下工程专题 • 上一篇    下一篇

压缩空气储能人工硐库多层密封结构热传递算法

程昊德,贾宁,刘顺,聂会建,梁昊   

  1. 中国电力工程顾问集团华北电力设计院有限公司,北京 100120
  • 收稿日期:2024-10-29 接受日期:2025-09-17 出版日期:2026-02-10 发布日期:2026-02-04
  • 通讯作者: 贾宁,男,1975年生,博士,正高级工程师,主要从事岩土工程技术方面的研究。E-mail: jianing999@yeah.net
  • 作者简介:程昊德,男,1999年生,硕士,助理工程师,主要从事深地工程技术方面的研究。E-mail: chenghd@ncpe.com.cn
  • 基金资助:
    中国电力工程顾问集团有限公司2023年重大科技专项(No. DG4-F01-2023)

Calculation method of heat transfer in multi-layer sealing structure of artificial caverns for compressed air energy storage

CHENG Hao-de, JIA Ning, LIU Shun, NIE Hui-jian, LIANG Hao   

  1. North China Power Engineering Co., Ltd. of China Power Engineering Consulting Group, Beijing 100120, Chin
  • Received:2024-10-29 Accepted:2025-09-17 Online:2026-02-10 Published:2026-02-04
  • Supported by:
    This work was supported by the Major Science and Technology Projects of China Power Engineering Consulting Group Co., Ltd. 2023 (DG4-F01-2023).

摘要: 压缩空气储能电站地下硐库在充、放气循环过程中,硐内空气的温度、压力状态会持续变化。硐内空气状态的变化会影响到密封层、衬砌及硐库围岩的温度变化与结构变形。在硐库设计中,精准获得充、放气过程中硐库密封结构的受力和变形至关重要。考虑密封结构各层介质热物性的不同,可以提高密封结构受力和变形精度,还可分析硐库的储能特性。耦合硐库空气状态解析算法与硐壁多层介质热传导数值算法,可以得到硐库多层密封结构的温度分布,进一步得到密封结构各点的应力和应变。考虑硐壁热传导产生的能量损失,基于硐库内空气㶲的概念,计算了多次充、放气过程中地下硐库的能量回收率。研究发现,若将地下硐库建设在导热性能较好的围岩中,硐库内空气热量扩散快,硐壁各密封层温度分布较均匀,密封结构变形梯度小,更能适应极限的充、放气工况,但由于热量扩散快,硐库能量回收效率相对较低。反之,若将硐库建设在导热性能较差的围岩中,则会出现相反的状况。工程设计需要考虑密封结构热物性参数的差异所引起的硐库工作性状的差异。

关键词: 压缩空气储能, 多层结构, 热应力耦合, 差分法, 解析法

Abstract: Air temperature and pressure in underground caverns used for compressed air energy storage fluctuate throughout the charging and discharging cycles. These fluctuations alter the thermal field and induce structural deformation in the sealing layer, lining, and surrounding rock. Accurate prediction of stress and deformation in the sealing system during inflation and deflation is essential for reliable cavern design. Incorporating the thermal and physical properties of the materials in each layer of the sealing structure can enhance the accuracy of stress and deformation calculations for the sealing structure and also facilitate the analysis of the cavern’s energy storage capabilities. By integrating the air state analysis algorithm of the cavern with the numerical algorithm for multi-layer material heat conduction on the cavern wall, the temperature distribution across the multi-layered sealed structure can be ascertained, and the stress and strain at each point of the structure can be further determined. By accounting for the energy loss from thermal conduction through the cavern walls, and based on the concept of air exergy within the cavern, the energy recovery rate of the underground cavern during multiple inflation and deflation cycles can be quantified. Studies have shown that caverns constructed in surrounding rock with good thermal conductivity results in rapid diffusion of air heat within the caverns, leading to a more uniform temperature distribution across each sealing layer across the walls, a smaller deformation gradient of the sealing structure, and better adaptability to extreme charging and discharging conditions. However, this rapid heat diffusion can decrease energy-recovery efficiency. In low-conductivity rock, the opposite trend is expected. Therefore, engineering design should account for the differences in thermal and physical properties of sealed structures, as theses can substantially affect cavern operation.

Key words: compressed air energy storage, multilayered structure, temperature stress coupling solution, differential calculation method, analytical calculation method

中图分类号: TU 45
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