Reduced-order method for nuclear reactor primary circuit calculation

被引:0
|
作者
Zhao, Ze-Long [1 ]
Wang, Ya-Hui [1 ]
Liu, Zhe-Xian [1 ]
Chi, Hong-Hang [1 ]
Ma, Yu [1 ]
机构
[1] Sun Yat Sen Univ, Sino French Inst Nucl Engn & Technol, Zhuhai 519082, Peoples R China
基金
中国国家自然科学基金;
关键词
Reactor system model; Primary circuit; Reduced-order; Proper orthogonal decomposition; Least-squares method; MODEL-REDUCTION; HEAT-TRANSFER; POWER-PLANT; SIMULATION; DECOMPOSITION; DESIGN;
D O I
10.1007/s41365-024-01535-w
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
Accurate real-time simulations of nuclear reactor circuit systems are particularly important for system safety analysis and design. To effectively improve computational efficiency without reducing accuracy, this study establishes a thermal-hydraulics reduced-order model (ROM) for nuclear reactor circuit systems. The full-order circuit system calculation model is first established and verified and then used to calculate the thermal-hydraulic properties of the circuit system under different states as snapshots. The proper orthogonal decomposition method is used to extract the basis functions from snapshots, and the ROM is constructed using the least-squares method, effectively reducing the difficulty in constructing the ROM. A comparison between the full-order simulation and ROM prediction results of the AP1000 circuit system shows that the proposed ROM can improve computational efficiency by 1500 times while achieving a maximum relative error of 0.223%. This research develops a new direction and perspective for the digital twin modeling of nuclear reactor system circuits.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Reduced-order discrete element method modeling
    Boukouvala, Fani
    Gao, Yijie
    Muzzio, Fernando
    Ierapetritou, Marianthi G.
    CHEMICAL ENGINEERING SCIENCE, 2013, 95 : 12 - 26
  • [2] Reduced-Order Modeling of Nuclear Reactor Kinetics Using Proper Generalized Decomposition
    Alberti, Anthony L.
    Palmer, Todd S.
    NUCLEAR SCIENCE AND ENGINEERING, 2020, 194 (10) : 837 - 858
  • [3] A POD reduced-order model for resolving the neutron transport problems of nuclear reactor
    Sun, Yue
    Yang, Junhe
    Wang, Yahui
    Li, Zhuo
    Ma, Yu
    ANNALS OF NUCLEAR ENERGY, 2020, 149
  • [4] Study on Burnup Calculation Method Based on Proper Orthogonal Decomposition Reduced-order
    Zhang B.
    Bi Y.
    Gong H.
    Zhang Y.
    Yuan X.
    Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, 2023, 57 (10): : 1938 - 1948
  • [5] The DGDD method for reduced-order modeling of conservation laws
    Riffaud, Sebastien
    Bergmann, Michel
    Farhat, Charbel
    Grimberg, Sebastian
    Iollo, Angelo
    JOURNAL OF COMPUTATIONAL PHYSICS, 2021, 437
  • [6] Efficient optimization of a multifunctional catalytic fixed-bed reactor via reduced-order modeling approach
    Bizon, Katarzyna
    Continillo, Gaetano
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2021, 165 : 214 - 229
  • [7] An iterative reduced-order substructuring approach to the calculation of eigensolutions and eigensensitivities
    Tian, Wei
    Weng, Shun
    Xia, Yong
    Zhu, Hongping
    Gao, Fei
    Sun, Yuan
    Li, Jiajing
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 130 : 361 - 377
  • [9] Multi-grid reduced-order topology optimization
    Xiao, Manyu
    Lu, Dongcheng
    Breitkopf, Piotr
    Raghavan, Balaji
    Zhang, Weihong
    Dutta, Subhrajit
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2020, 61 (06) : 2319 - 2341
  • [10] Data-Enabled Physics-Informed Machine Learning for Reduced-Order Modeling Digital Twin: Application to Nuclear Reactor Physics
    Gong, Helin
    Cheng, Sibo
    Chen, Zhang
    Li, Qing
    NUCLEAR SCIENCE AND ENGINEERING, 2022, 196 (06) : 668 - 693