王宇轩,张羽丰,李连生. 小型先进绝热压缩空气储能系统建模仿真与动态分析[J]. 南方能源建设,2025,12(2):145-157.. DOI: 10.16516/j.ceec.2024-173
引用本文: 王宇轩,张羽丰,李连生. 小型先进绝热压缩空气储能系统建模仿真与动态分析[J]. 南方能源建设,2025,12(2):145-157.. DOI: 10.16516/j.ceec.2024-173
WANG Yuxuan, ZHANG Yufeng, LI Liansheng. Simulation and dynamic analysis of small advanced insulated compressed air energy storage system [J]. Southern energy construction, 2025, 12(2): 145-157. DOI: 10.16516/j.ceec.2024-173
Citation: WANG Yuxuan, ZHANG Yufeng, LI Liansheng. Simulation and dynamic analysis of small advanced insulated compressed air energy storage system [J]. Southern energy construction, 2025, 12(2): 145-157. DOI: 10.16516/j.ceec.2024-173

小型先进绝热压缩空气储能系统建模仿真与动态分析

Simulation and Dynamic Analysis of Small Advanced Insulated Compressed Air Energy Storage System

  • 摘要:
    目的 小型压缩空气储能系统摆脱了对特定地理环境的依赖,具有广泛的适用性、较低的建设和运营成本,适合分布式能源系统和微电网应用,能为偏远地区、岛屿或临时设施提供持续、稳定的电力保障。为了提高小型压缩空气储能系统效率,文章分析了系统在不同工况下运行对其性能的影响。
    方法 建立了小型先进绝热压缩空气储能系统静态模型和动态模型,以10 kW级储能系统为例,基于Matlab仿真软件模拟了压缩机进气温度、压缩机总压比、膨胀级数等对系统热力性能的影响规律,以及储气罐温度、压力的动态变化。
    结果 结果表明:较高的压缩机进气温度和压缩机总压比虽然会降低系统储能效率,但提高了系统的储能密度;节流后压力(膨胀段入口压力)会影响系统储能密度,在设计工况下,当节流后压力为1.35 MPa时,储能密度达最大值8.15 MJ/m3;储能压力由3 MPa增加到6 MPa时,系统的储能效率增加9.02%,储能密度增长了1.72倍;储气罐与环境换热增加,储能效率先减小后增大,当换热系数为5 W/m2/K,系统储能效率有最小值45.98%。
    结论 对于小型绝热压缩空气储能系统来说,增加储气罐的储气压力和提高储气罐与环境的换热可以有效提高系统的储能密度,这为系统的设计和优化提供了重要参考。

     

    Abstract:
    Objective Small-scale compressed air energy storage systems are independent of specific geographic environments, have broad applicability, low construction and operating costs, and are suitable for distributed energy systems and microgrid applications. They offer continuous, stable power security for remote areas, islands, or temporary facilities. To enhance the efficiency of a small-scale compressed air energy storage system, the article analyzes the impact of operating the system under various conditions on its performance.
    Method A static model and a dynamic model of a small advanced compressed air energy storage system were established. Taking the 10 kW class energy storage system as a case study, the impact of compressor inlet temperature, compressor total pressure ratio, and the number of expansion stages on the thermal performance of the system was analyzed. Additionally, the dynamic variations in temperature and pressure of the storage tank were simulated based on Matlab simulation software.
    Result The results indicate that although higher compressor inlet temperature and overall pressure ratio reduce the energy storage efficiency of the system, they increase the energy storage density. The post-throttling pressure (inlet pressure of the expansion section) affects the energy storage density. Under design conditions, when the post-throttling pressure is 1.35 MPa, the energy storage density reaches a maximum value of 8.15 MJ/m3. When the energy storage pressure increases from 3 MPa to 6 MPa, the system's energy storage efficiency increases by 9.02%, and the energy storage density grows by 1.72 times. With increased heat exchange between the gas storage tank and the environment, the energy storage efficiency initially decreases and then increases. When the heat transfer coefficient is 5 W/m2/K, the system's energy storage efficiency reaches a minimum value of 45.98%.
    Conclusion For small adiabatic compressed air energy storage systems, increasing the storage pressure of the tanks and improving the heat exchange between the tanks and the environment can effectively enhance the energy storage density of the system. These findings offer valuable insights for the design and optimization of such systems.

     

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