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压缩sCO2储能系统动态特性仿真

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压缩超临界二氧化碳(sCO2)储能作为一种新型储能方式,具有储能密度大,结构紧凑,使用寿命长,负碳排放等优点,因此,在能源储存转化等方面有着广阔的应用前景。基于质量守恒和能量守恒定律,建立了压缩sCO2储能系统(SC-CCES)的动态数学模型,并完成了模型可靠性的验证;采用Matlab及Simulink软件实现了单级压缩和单级膨胀的SC-CCES系统动态特性仿真,设计工况下SC-CCES系统的储能效率为51。98%,储能密度为447。8 kWh/m3,其储能密度是传统压缩空气储能系统储能密度的 20 倍以上;分析了不同高压储罐入口压力对系统性能的影响,结果表明储能效率随高压储罐入口压力的增大而增大,储能密度则恰好相反。此研究为压缩二氧化碳储能的发展提供了基础。
Study on supercritical carbon dioxide energy storage system and its operating characteristics
As a novel energy storage method,compressed supercritical carbon dioxide(sCO2)energy storage offers several advantages,such as high energy storage density,compact structure,long service life,and negative carbon emissions.Therefore,it has a broad application prospect in the energy storage and conversion.In this study,a dynamic mathematical model for the compressed sCO2 energy storage system(SC-CCES)was established based on the mass conservation and energy conservation laws and the reliability of the model was verified.Additionally,dynamic simulations of the SC-CCES system with single-stage compression and single-stage expansion were performed using Matlab/Simulink.Under the designed operating conditions,the energy storage efficiency of the SC-CCES system was found to be 51.98%,with an energy storage density of 447.8 kWh/m3.The energy storage density of the SC-CCES system was more than 20 times higher than that of a traditional compressed air energy storage system.Furthermore,the impact of different high-pressure tank inlet pressures on system performance was analyzed.The results showed that the energy storage efficiency increases with the increase of the inlet pressure of the high-pressure storage tank,while the energy storage density is exactly the opposite.This study provides a basis for the development of compressed carbon dioxide energy storage.

compressed supercritical carbon dioxide energy storagedynamic simulationenergy conservationenergy density

姜佳晖、王子杰、池冉、陈伟、薛小代、张通、张学林、张斌

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青岛科技大学 机电工程学院,山东 青岛 266061

中国电建集团河北省电力勘测设计研究院有限公司,河北 石家庄 050000

清华大学 电机工程与应用电子技术系,北京 100084

压缩超临界二氧化碳储能 动态仿真 能量守恒 储能密度

中国电建集团河北省电力勘测设计研究院有限公司科技计划项目

DJ-ZDXM-2022-17

2024

山东科学
山东省科学院

山东科学

CSTPCD
影响因子:0.266
ISSN:1002-4026
年,卷(期):2024.37(4)