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Volume 45 Issue 3
Jun.  2024
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Zhang Liqin, Huang Yanping, Zeng Xiaokang, Gong Houjun. Simulation of Thermodynamic Characteristics of Supercritical Carbon Dioxide Brayton Cycle System Based on Modelica[J]. Nuclear Power Engineering, 2024, 45(3): 124-131. doi: 10.13832/j.jnpe.2024.03.0124
Citation: Zhang Liqin, Huang Yanping, Zeng Xiaokang, Gong Houjun. Simulation of Thermodynamic Characteristics of Supercritical Carbon Dioxide Brayton Cycle System Based on Modelica[J]. Nuclear Power Engineering, 2024, 45(3): 124-131. doi: 10.13832/j.jnpe.2024.03.0124

Simulation of Thermodynamic Characteristics of Supercritical Carbon Dioxide Brayton Cycle System Based on Modelica

doi: 10.13832/j.jnpe.2024.03.0124
  • Received Date: 2023-08-20
  • Rev Recd Date: 2023-11-16
  • Publish Date: 2024-06-13
  • Modelica is an open-source object-oriented language for modeling large and complex systems, and developed by the Swedish non-profit organization Modelica Association. In this paper, Modelica language is used to simulate the thermodynamic characteristics of supercritical carbon dioxide Brayton cycle system. Based on the mechanism relationship of key equipment such as compressor, turbine, regenerator and cooler, a supercritical carbon dioxide model library based on Modelica language was developed. A simulation model of single-stage regenerative cycle system was built based on drag and drop modeling and visual interface. The steady-state solution was carried out based on the solver of Modelica platform Mworks. Compared with the calculation results of SCTRAN/CO2, the reliability of Modelica model and the feasibility of Modelica in the simulation of thermodynamic characteristics of supercritical carbon dioxide Brayton cycle system were verified, and the transient characteristics of single-stage regenerative cycle were analyzed.

     

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  • [1]
    FERRERO S, BATET L, LINARES J I, et al. A modelica dynamic model of a supercritical CO2 energy conversion system for EU-DEMO[J]. Fusion Engineering and Design, 2021, 173: 112826. doi: 10.1016/j.fusengdes.2021.112826
    [2]
    DELGOSHAEI P, HEIDARINEJAD M, AUSTIN M A. Semantic inference-based control strategies for building HVAC systems using modelica-based physical models[J]. Procedia Engineering, 2017, 205: 1975-1982. doi: 10.1016/j.proeng.2017.10.060
    [3]
    刘伟,丁建完,赵建军,等. 基于Modelica的载人航天器环热控系统建模仿真[J]. 航天器环境工程,2017, 34(2): 143-149.
    [4]
    李冰洁,张晓斌,吴小华,等. 基于Dymola及Modelica语言的飞机三级发电机的建模与仿真[J]. 微电机,2016, 49(3): 40-44.
    [5]
    杨世铭,陶文铨. 传热学[M]. 第四版. 北京: 高等教育出版社,1982: 246.
    [6]
    陈卓如,金朝铭. 工程流体力学[M]. 第二版. 北京: 高等教育出版社,1992: 265.
    [7]
    GAO C T, WU P, SHAN J Q, et al. Preliminary study of system design and safety analysis methodology for supercritical carbon dioxide Brayton cycle direct-cooled reactor system[J]. Annals of Nuclear Energy, 2020, 147: 107734. doi: 10.1016/j.anucene.2020.107734
    [8]
    CARSTENS N A, HEJZLAR P, DRISCOLL M J. Control system strategies and dynamic response for supercritical CO2 power conversion cycles: MIT-GFR-038[R]. Cambrige: MIT Nuclear Engineering Department, 2006.
    [9]
    CARSTENS N A. Control strategies for supercritical carbon dioxide power conversion systems[D]. Cambridge: Massachusetts Institute of Technology, 2007.
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