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1.西安交通大学能源与动力工程学院,陕西省西安市710049
2.云南省能源投资集团有限公司,云南省昆明市650032
3.中国能源建设集团云南省电力设计院有限公司,云南省昆明市650051
Received:04 September 2025,
Revised:2025-11-04,
Accepted:04 November 2025,
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YAO Erren, XI Guang, ZHONG Like, et al. Dynamic characteristics analysis of 350 MW-scale advanced adiabatic compressed air energy storage system[J/OL]. JOURNAL OF XI’AN JIAOTONG UNIVERSITY, 2025.
YAO Erren, XI Guang, ZHONG Like, et al. Dynamic characteristics analysis of 350 MW-scale advanced adiabatic compressed air energy storage system[J/OL]. JOURNAL OF XI’AN JIAOTONG UNIVERSITY, 2025. DOI: 10.7652/xjtuxb202402000.
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挑战,本文以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整体储能密度,通过将系统分为储能段、释能段和系统整体三个层面,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。结果表明压缩机机组和透平机机组在偏离设计点运行时,压缩机机组后段和透平机机组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实现电力满发的热力参量动态运行特性,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。
To address the cost-effective challenges of attaining efficient thermal-pressure conversion and maximizing the use of limited volume of air storage vessel in compressed air energy storage system
this study investigates a 350-MW advanced adiabatic compressed air energy storage system and conducts a sliding-pressure air supply strategy during discharging process to reduce throttling losses and thereby increase the energy storage density of the system. The system is partitioned into the charging
discharging
and system-level layers. Design and off-design thermodynamic models are established to simulate operation performance and to examine the dynamic behavior of key operating parameters
i.e.
pressure ratio
expansion ratio
and power
across the full operating area under different operating modes and control strategies. The results show that when the compressor train and the turbine train operate under off-design conditions
the thermodynamic parameters in the latter stages of the compressor train and the turbine train exhibit larger variations than those of in the front stages. As the pressure of the sliding-pressure air supply point increases
both the operating period and the system energy efficiency increased
indicating that sliding-pressure operation can more fully utilize the limited storage volume and enhance the energy storage density effectively. By comparing the dynamic thermodynamic characteristics associated with rated power output under different operating modes
the proposed throttling and sliding-pressure air supply strategy can increase the system energy efficiency by up to 1.43% relative to conventional throttling strategy. These findings provide theoretical support for operational control of the 350-MW advanced adiabatic compressed air energy storage system across the full operating area in engineering applications.
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 ( 04 ): 108 - 120 .
LI Z , LI W , ZHANG Z , 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 ( 04 ): 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 ( 02 ): 41 - 49 .
WU Shuhong , ZOU Hansen , YAO Erren , et al . Dynamic thermal characterisation of compressed air energy storage device filling process [J ] . Journal of Xi'an Jiaotong University , 2025 , 59 ( 02 ): 41 - 49 .
LIS P , MILEWSKI J , RYŚ P , 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 E , ZHONG L , ZHANG S , 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 ] . 浙江大学 , 2024 .
ZHANG Z . Optimization study on packed-bed phase change thermal energy storage for adiabatic compressed air energy storage [D ] . Zhejiang University , 2024 .
SHAHZAD S , ABBASI M , SHAHID M , 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 : 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 , 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 G , ÖZEN D . Advanced exergy and exergo-economic analyses of an advanced adiabatic compressed air energy storage system [J ] . Journal of Energy Storage , 2022 , 55 : 105845 .
ZARNOUSH M , GOLAKI P , SOLTANI M , et al . Comparative evaluation of advanced adiabatic compressed gas energy storage systems [J ] . Journal of Energy Storage , 2023 , 73 : 108831 .
GRAZZINI G , MILAZZO A . Thermodynamic analysis of CAES/TES systems for renewable energy plants [J ] . Renewable Energy , 2008 , 33 ( 9 ): 1998 - 2006 .
YU H , 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 W , CHEN L . Thermo-economic multi-objective optimization of adiabatic compressed air energy storage (A-CAES) system [C ] . 2018 .
CHEUNG B , CARRIVEAU R , TING D . 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 .
XIE R , LIU W , CHEN M , 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 L , ZHANG L , GUO W , 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 M , YANG C , XIAO R , 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 ( 09 ): 1649 - 1653 .
LI X , YANG K , ZHANG Y . Optimization design of compression and expansion stages in advanced adiabatic compressed air energy storage system [J ] . Journal of Engineering Thermophysics , 2013 ( 09 ): 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 P , GAO L , WANG J , 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 Z , GUO S . 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 .
YAO E , ZHONG L , ZHANG Y , 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 ): 64102 .
王仲奇 , 仁秦 . 透平机械原理 [M ] . 机械工业出版社 , 1988 .
WANG Z , QIN R . Principle of turbine machinery [M ] . 2nd ed . Beijing : China Machine Press , 1988 .
蔡睿贤 , 张娜 , 林汝谋 . 压气机特性通用数学表达式 [J ] . 工程热物理学报 , 1996 ( 01 ): 21 - 24 .
CAI R , ZHANG N , LIN R . General formulas for axial compressor performance estimation [J ] . Journal of Engineering Thermophysics , 1996 ( 01 ): 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 . Ghorbanian K., Gholamrezaei M. An artificial neural network approach to compressor performance prediction[J ] . Applied Energy,2009, 86 ( 7-8 ): 1210 - 1221 .
STRUCHTRUP H . Thermodynamics and Energy Conversion [M ] . Second Edition ed. Switzerland: Springer , 2024 .
YAO E , WANG H , WANG L , 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 ( 01 ): 4 - 9 .
MA L , WANG N , ZHOU Z , et al . Modeling and dynamic characteristics study of discharge process in compressed air energy storage system [J ] . Power System Engineering , 2025 , 41 ( 01 ): 4 - 9 .
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