350 MW级先进绝热压缩空气储能系统动态特性研究

姚尔人; 席光; 仲理科; 邹瀚森; 胡均; 张武军; 周满富; 付剑波; 华丽君

doi:10.7652/xjtuxb202605001

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350 MW级先进绝热压缩空气储能系统动态特性研究

专题　储能技术 | 更新时间：2026-04-27

- 350 MW级先进绝热压缩空气储能系统动态特性研究
- Study on Dynamic Characteristics Analysis of 350 MW-Scale Advanced Adiabatic Compressed Air Energy Storage System
- 西安交通大学学报 2026年60卷第5期页码：1-11
- 作者机构：
  
  西安交通大学能源与动力工程学院，710049，西安
  云南省能源投资集团有限公司，650032，昆明
  中国能源建设集团云南省电力设计院有限公司，650051，昆明
- 作者简介：
  
  作者简介：姚尔人（1989—），男，副教授；
  席光（通信作者），男，教授，博士生导师。
- 基金信息：
  
  国家自然科学基金资助项目(52306050;52130603);陕西省重点研发计划资助项目。(2025CY-YBXM-171)
- DOI：10.7652/xjtuxb202605001
  中图分类号： TK02
- 收稿：2025-09-04，
  
  纸质出版：2026-05-10
- 稿件说明：
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姚尔人, 席光, 仲理科, 等. 350 MW级先进绝热压缩空气储能系统动态特性研究[J]. 西安交通大学学报, 2026,60(5):1-11.

YAO Erren, XI Guang, ZHONG Like, et al. Study on Dynamic Characteristics Analysis of 350 MW-Scale Advanced Adiabatic Compressed Air Energy Storage System[J]. Journal of Xi'an Jiaotong University, 2026, 60(5): 1-11.
姚尔人, 席光, 仲理科, 等. 350 MW级先进绝热压缩空气储能系统动态特性研究[J]. 西安交通大学学报, 2026,60(5):1-11. DOI： 10.7652/xjtuxb202605001.

YAO Erren, XI Guang, ZHONG Like, et al. Study on Dynamic Characteristics Analysis of 350 MW-Scale Advanced Adiabatic Compressed Air Energy Storage System[J]. Journal of Xi'an Jiaotong University, 2026, 60(5): 1-11. DOI： 10.7652/xjtuxb202605001.

摘要

针对压缩空气储能系统高效经济运行面临的热压高效转化与有限储气装置容积充分利用的挑战，以350 MW级先进绝热压缩空气储能系统为研究对象，引入滑压补气运行策略，降低释能过程节流损失，进而提升系统性能与储能密度，通过将系统分为储能段、释能段和系统整体3个层面，建立系统内各设备的全工况热力学计算模型，研究了不同运行模式与运行策略下系统压比、膨胀比、功率等关键参数在全运行工况域内的动态运行特性。结果表明：压缩机和膨胀机在偏离设计点运行时，压缩机后段和膨胀机后段的热力参量变化幅度均高于对应前段机组；随着滑压补气点压力的升高，系统的运行时间和能量效率均逐渐升高，表明滑压补气运行策略能够充分利用有限储气装置空间，并有效提升系统的储能密度；通过对比系统在不同运行策略下实现电力满发的热力参量动态运行特性，发现节流-滑压补气运行策略较全节流运行策略最高能够提升系统能量效率1.43%。研究结果可为350 MW级先进绝热压缩空气储能系统在工程应用中的全工况运行调控提供理论支撑。

Abstract

To address the challenges of efficient heat-pressure conversion and full utilization of limited gas storage capacity in compressed air energy storage (CAES) systems for high-efficiency and economical operation

this study focuses on a 350 MW advanced adiabatic compressed air energy storage (AA-CAES) system. A sliding-pressure gas replenishment operation strategy was introduced to reduce throttling losses during the energy release process

thereby enhancing the overall energy storage density of the system. By dividing the system into three levels—the energy storage segment

the energy release segment

and the overall system—full-load thermodynamic calculation models for each component within the system were established. The dynamic operational characteristics of key parameters such as pressure ratio

expansion ratio

and power under different modes and operation strategies across the entire operating range were investigated. The results show that when compressor units and turbine units operate away from their design points

the variations in thermodynamic parameters in the later stages of both compressor and turbine units are more significant than those in the corresponding earlier stages. As the pressure at the sliding-pressure gas replenishment point increases

both the system's operating time and energy efficiency gradually improve

indicating that the sliding-pressure gas replenishment strategy can fully utilize the limited gas storage capacity and effectively enhance the system's energy storage density. A comparison of the dynamic operational characteristics of thermodynamic parameters under different strategies for achieving full power generation indicates that the throttling-slidingpressure gas replenishment strategy can improve the system's energy efficiency by up to 1.43% over the full-throttling strategy. The findings provide theoretical support for the full-load operational regulation of 350 MW advanced AA-CAES systems in engineering applications.

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references

李政，李伟起，张忠伟，等.“双碳”目标下我国电力系统灵活性资源发展策略研究[J].中国工程科学，2024，26（4）：108-120.

LI Zheng，LI Weiqi，ZHANG Zhongwei，et al.Development strategy of flexible resources in China's power system under the carbon peaking and carbon neutrality goals[J].Strategic Study of CAE，2024，26（4）：108-120.

KERSCHBAUM A，TRENTMANN L，HANEL A，et al.Methods for analysing renewable energy potentials in energy system modelling：a review [J].Renewable and Sustainable Energy Reviews，2025，215：115559.

GHANBARZADEH T，HABIBI D，AZIZ A.Addressing reliability challenges in generation capacity planning under high penetration of renewable energy resources and storage solutions：a review [J].Renewable and Sustainable Energy Reviews，2025，212：115461.

武书弘，邹瀚森，姚尔人，等.压缩空气储能储气装置充气过程的动态热力特性研究[J].西安交通大学学报，2025，59（2）：41-49.

WU Shuhong，ZOU Hansen，YAO Erren，et al. Thermodynamic characteristics of air storage device during charging process[J].Journal of Xi'an Jiaotong University，2025，59（2）：41-49.

LIS P，MILEWSKI J，RYSˊP，et al.A fluid flow machine unit for a small-scale compressed gas energy storage system-literature review [J].Applied Energy，2025，383：125312.

YAO Erren，ZHONG Like，ZHANG Shuqi，et al. Off-design performance evaluation of a combined heating and power system based on compressed air and thermochemical energy storage under optimized operation strategy [J].Journal of Energy Storage，2025，130：117485.

ROOS P，HASELBACHER A.Analytical modeling of advanced adiabatic compressed air energy storage：literature review and new models [J].Renewable and Sustainable Energy Reviews，2022，163：112464.

BUDT M，WOLF D，SPAN R，et al.A review on compressed air energy storage：basic principles，past milestones and recent developments [J].Applied Energy，2016，170：250-268.

张志平.面向绝热压缩空气储能的填充床相变储热换热器优化研究[D].杭州：浙江大学，2024.

SHAHZAD S，ABBASI M A，SHAHID M B，et al. Unlocking the potential of long-duration energy storage：pathways to net-zero emissions through global innovation and collaboration [J].Journal of Energy Storage，2024，97（Part A）：112904.

JANKOWSKI M，PAŁAC A，SORNEK K，et al.Status and development perspectives of the compressed air energy storage（CAES）technologies：a literature review [J].Energies，2024，17（9）：2064.

MERSCH M，SAPIN P，OLYMPIOS A V，et al.A unified framework for the thermo-economic optimisation of compressed-air energy storage systems with solid and liquid thermal stores [J].Energy Conversion and Management，2023，287：117061.

HANÇER GÜLERYÜZ E，ÖZEN D N.Advanced exergy and exergo-economic analyses of an advanced adiabatic compressed air energy storage system [J].Journal of Energy Storage，2022，55，Part D：105845.

ZARNOUSH M，GOLAKI P P，SOLTANI M，et al. Comparative evaluation of advanced adiabatic compressed gas energy storage systems [J].Journal of Energy Storage，2023，73（Part A）：108831.

GRAZZINI G，MILAZZO A.Thermodynamic analysis of CAES/TES systems for renewable energy plants [J]. Renewable Energy，2008，33（9）：1998-2006.

YU Haoshui，ENGELKEMIER S，GENÇER E.Process improvements and multi-objective optimization of compressed air energy storage（CAES）system [J].Journal of Cleaner Production，2022，335：130081.

HONG Wenjing，CHEN Longxiang.Thermo-economic multi-objective optimization of adiabatic compressed air energy storage（A-CAES）system [C]//Proceedings of the 2018 International Conference on Computing and Artificial Intelligence.New York，NY，USA：Association for Computing Machinery，2018：132-138.

CHEUNG B C，CARRIVEAU R，TING D S K. Multi-objective optimization of an underwater compressed air energy storage system using genetic algorithm [J].Energy，2014，74：396-404.

MUCCI S，BISCHI A，BRIOLA S，et al.Small-scale adiabatic compressed air energy storage：control strategy analysis via dynamic modelling [J].Energy Conversion and Management，2021，243：114358.

XIERong，LIU Weihuang，CHEN Muyan，et al.A robust operation method with advanced adiabatic compressed air energy storage for integrated energy system under failure conditions [J].Machines，2022，10（1）：51.

CHEN Longxiang，ZHANG Liugan，GUO Weikang，et al.Dynamic analysis of an adiabatic compressed air energy storage system with temperature-regulated in air tanks [J]. Renewable and Sustainable Energy Reviews，2024，206：114862.

肖旻逾，杨承，肖润珂，等.非稳定电源驱动的恒压绝热压缩空气储能系统设计[J].中国电机工程学报，2023，43（6）：2168-2178.

XIAO Minyu，YANG Cheng，XIAO Runke，et al. Design on isobaric adiabatic compressed air energy storage system for unstable input at power source-side[J]. Proceedings of the CSEE，2023，43（6）：2168-2178.

李雪梅，杨科，张远.AA-CAES压缩膨胀系统的运行级数优化[J].工程热物理学报，2013，34（9）：1649-1653.

LI Xuemei，YANG Ke，ZHANG Yuan.Optimization design of compression and expansion stages in advanced adiabatic compressed air energy storage system[J].Journal of Engineering Thermophysics，2013，34（9）：1649-1653.

HARTMANN N，VÖHRINGER O，KRUCK C，et al.Simulation and analysis of different adiabatic compressed air energy storage plant configurations [J]. Applied Energy，2012，93：541-548.

ZHAO Pan，GAO Lin，WANG Jiangfeng，et al.Energy efficiency analysis and off-design analysis of two different discharge modes for compressed air energy storage system using axial turbines [J].Renewable Energy，2016，85：1164-1177.

HAN Zhonghe，GUO Senchuang. Investigation of operation strategy of combined cooling，heating and power（CCHP）system based on advanced adiabatic compressed air energy storage [J]. Energy，2018，160：290-308.

YAOErren，ZHONG Like，ZHANG Yuan，et al. Comprehensive performance exploration of a novel pumped-hydro based compressed air energy storage system with high energy storage density [J].Journal of Renewable and Sustainable Energy，2022，14（6）：064102.

王仲奇，秦仁.透平机械原理[M].2版.北京：机械工业出版社，1988.

张娜，林汝谋，蔡睿贤.压气机特性通用数学表达式[J].工程热物理学报，1996，17（1）：21-24.

ZHANG Na，LIN Rumou，CAI Ruixian.General formulas for axial compressor performance estimation[J].Journal of Engineering Thermophysics，1996，17（1）：21-24.

GHORBANIAN K，GHOLAMREZAEI M.An artificial neural network approach to compressor performance prediction [J].Applied Energy，2009，86（7/8）：1210-1221.

HAGLIND F，ELMEGAARD B.Methodologies for predicting the part-load performance of aero-derivative gas turbines [J].Energy，2009，34（10）：1484-1492.

STRUCHTRUP H.Thermodynamics and energy con version [M].2nd ed.Cham，Germany：Springer International Publishing，2024.

YAO Erren，WANG Huanran，WANG Ligang，et al. Thermo-economic optimization of a combined cooling，heating and power system based on small-scale compressed air energy storage [J].Energy Conversion and Management，2016，118：377-386.

马凌，王宁，周祖旭，等.压缩空气储能膨胀阶段模型构建及动态运行特性研究[J].电站系统工程，2025，41（1）：4-9.

MA Ling，WANG Ning，ZHOU Zuxu，et al.Modeling and dynamic characteristics study of discharge process in compressed air energy storage system[J]. Power System Engineering，2025，41（1）：4-9.

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