300 MW级绝热压缩空气储能系统性能分析与优化研究

张卫国; 吴闯; 罗方; 范立华; 王娟丽

doi:10.19666/j.rlfd.202505092

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300 MW级绝热压缩空气储能系统性能分析与优化研究

Thermal Power Generation Vol. 55, Issue 2, Pages: 32-40(2026)

更新时间：2026-08-07

- 300 MW级绝热压缩空气储能系统性能分析与优化研究
- 作者机构：
  
  1. 重庆大学能源与动力工程学院
  2. 东方电气集团东方汽轮机有限公司
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202505092
  CLC： TK02
- Published：2026
- 稿件说明：
移动端阅览
[1]张卫国,吴闯,罗方,等.300 MW级绝热压缩空气储能系统性能分析与优化研究[J].热力发电,2026,55(02):32-40.
[1]张卫国,吴闯,罗方,等.300 MW级绝热压缩空气储能系统性能分析与优化研究[J].热力发电,2026,55(02):32-40. DOI： 10.19666/j.rlfd.202505092.

DOI：10.19666/j.rlfd.202505092.

摘要

当前针对先进绝热压缩空气储能(AA-CAES)系统的研究多基于既定结构开展优化设计与变工况性能分析，缺乏对运行模式进行预设的系统级优化。以300 MW等级四级压缩/三级膨胀的非对称AA-CAES系统为对象，创新提出滑压运行策略及压缩-膨胀级间匹配设计，构建准动态热力学模型，实现了在固定时间约束下对滑压控制充放电全过程的性能分析与参数优化。结果表明：优化后的滑压模式可将储能效率提升至73.32%，能量密度达3.404 kW·h/m

，所需储气体积缩减至44万m

，仅为定压模式的1/4。系统㶲损主要集中在压缩机和透平，分别占总损失的40.7%和29.3%；设备的等熵效率和热回收能力对整体性能具有显著影响。

Abstract

Current researches on advanced adiabatic compressed air energy storage(AA-CAES) systems primarily focus on optimizing designs and analyzing performance under off-design conditions based on fixed system structures

with limited attention to system-level optimization involving predefined operational modes. By taking a 300 MW-class asymmetric AA-CAES system featuring four-stage compression and three-stage expansion as the object

a novel variable-pressure(sliding-pressure) operation strategy is proposed

along with a matching design between compression and expansion stages. A quasi-dynamic thermodynamic model is developed to analyze and optimize the full charge-discharge cycle performance under fixed time constraints with sliding-pressure control. The results show that the optimized sliding-pressure mode improves the system's round-trip efficiency to 73.32%

incr

eases the energy density to 3.404 kW·h/m

and reduces the required air storage volume to 440 000 m

(only one-fourth of that under constant-pressure operation). Exergy losses are mainly concentrated in the compressors and turbines

accounting for 40.7% and 29.3% respectively. The isentropic efficiency and heat recovery capability of these components have significant influence on overall performance of the system.

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references

陈海生,刘畅,徐玉杰,等.储能在碳达峰碳中和目标下的战略地位和作用[J].储能科学与技术, 2021,10(5):1477-1485.CHEN Haisheng, LIU Chang, XU Yujie, et al. The strategic position and role of energy storage under the goal of carbon peak and carbon neutrality[J]. Energy Storage Science and Technology, 2021, 10(5):1477-1485.

KEBEDE A A, KALOGIANNIS T, VAN MIERLO J,et al. A comprehensive review of stationary energy storage devices for large scale renewable energy sources grid integration[J]. Renewable and Sustainable Energy Reviews, 2022, 159:112213.

YANG B, LI D, FU X, et al. Parameter impact and sensitivity analysis of a pumped hydro compressed air energy storage system[J]. Applied Thermal Engineering,2024, 246:122951.

YAO E, ZHONG L, LI R, et al. Enhanced compression heat recovery of coupling thermochemical conversion to trigenerative compressed air energy storage system:Systematic sensitivity analysis and multi-objective optimization[J]. Journal of Energy Storage, 2023, 68:107738.

MATOS C R, SILVA P P, CARNEIRO J F. Overview of compressed air energy storage projects and regulatory framework for energy storage[J]. Journal of Energy Storage, 2022, 55:105862.

GUO H, XU Y, KANG H, et al. From theory to practice:Evaluating the thermodynamic design landscape of compressed air energy storage systems[J]. Applied Energy, 2023, 352:121858.

JIANG R, CAI Z, PENG K, et al. Thermo-economic analysis and multi-objective optimization of polygeneration system based on advanced adiabatic compressed air energy storage system[J]. Energy Conversion and Management, 2021, 229:113724.

吴金龙,李峻,邢泰高,等.绝热压缩空气储能系统的热力性能与经济性分析[J].热力发电, 2024, 53(2):27-36.WU Jinlong, LI Jun, XING Taigao, et al. Thermodynamics and economic analysis of adiabatic compressed air energy storage system[J]. Thermal Power Generation,2024, 53(2):27-36.

张梦洁,刘强,张彤赫,等.微型绝热压缩空气储能系统热力学建模与性能分析[J].热力发电, 2024, 53(9):39-47.ZHANG Mengjie, LIU Qiang, ZHANG Tonghe, et al.Thermodynamic modeling and performance analysis for micro adiabatic compressed air energy storage system[J].Thermal Power Generation, 2024, 53(9):39-47.

GUO H, XU Y, CHEN H, et al. Thermodynamic characteristics of a novel supercritical compressed air energy storage system[J]. Energy Conversion and Management, 2016, 115:167-177.

韩中合,郭森闯. AA-CAES系统释能过程运行特性分析[J].太阳能学报, 2020, 41(1):295-301.HAN Zhonghe, GUO Senchuang. Analysis of operation characteristics on discharge process of AA-CAES system[J]. Acta Energiae Solaris Sinica, 2020, 41(1):295-301.

HE Y, WANG M, CHEN H, et al. Thermodynamic research on compressed air energy storage system with turbines under sliding pressure operation[J]. Energy, 2021,222:119978.

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.

SHI W, LIANG Y, DING R, et al. Thermal-economic performance analysis of AA-CAES system with multiobjective optimization[J]. Journal of Energy Storage,2025, 117:116177.

张旭,李阳海,王廷举,等.大容量压缩空气储能电站压缩机宽工况动态特性研究[J].汽轮机技术, 2024,66(6):449-455.ZHANG Xu, LI Yanghai, WANG Tingju, et al. Off-design dynamic characteristics research of the compressors of large-capacity compressed air energy storage unit[J].Turbine Technology, 2024, 66(6):449-455.

张旭,李阳海,王廷举,等.大容量压缩空气储能压缩和膨胀系统启动关键过程特性研究[J].可再生能源,2025, 43(3):316-323.ZHANG Xu, LI Yanghai, WANG Tingju, et al. Key startup performance research for compression and expansion process of large-capacity compressed air energy storage system[J]. Renewable Energy Resources, 2025, 43(3):316-323.

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