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Dynamical modeling and simulation of the six-modular high temperature gas-cooled reactor plant HTR-PM600

Author

Listed:
  • Dong, Zhe
  • Pan, Yifei
  • Zhang, Zuoyi
  • Dong, Yujie
  • Huang, Xiaojin

Abstract

The modular high temperature gas-cooled reactor (MHTGR) is a typical small modular reactor (SMR) with inherent nuclear safety, which has a low average power density about 3 MW/m3, uses TRISO particle based fuel elements, and adopts helium as coolant and graphite as both moderator and structure material. Based upon the multimodular scheme, i.e. multiple MHTGR-based nuclear steam supply system (NSSS) modules driving a single turbine/generator system, the MHTGR-based nuclear power plants (NPPs) with inherent safety as well as any desired power ratings can be realized. However, since multiple NSSS modules are coupled together by the common secondary-circuit, the operation and control of multimodular NPPs is quite different from those classical single modular NPPs. For the design and verification of operation and control strategies of a NPP, it is necessary to develop the dynamical model of this NPP, and to study its open-loop and closed-loop dynamics. In this paper, a lumped-parameter dynamical model of the six-modular MHTGR-based NPP HTR-PM600 is proposed based on the conservation laws of mass, energy and momentum, which is composed of the MHTGR-based NSSS modules and the common secondary-circuit. Then, both the open-loop responses to exterior disturbances and the closed-loop behavior in power-level maneuver are given by numerical simulation, which shows not only the feasibility of this model but also the coupling effect of the modules caused by the common secondary-circuit.

Suggested Citation

  • Dong, Zhe & Pan, Yifei & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2018. "Dynamical modeling and simulation of the six-modular high temperature gas-cooled reactor plant HTR-PM600," Energy, Elsevier, vol. 155(C), pages 971-991.
    • Handle: RePEc:eee:energy:v:155:y:2018:i:c:p:971-991
    DOI: 10.1016/j.energy.2018.05.056
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    References listed on IDEAS

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    1. Dong, Zhe & Pan, Yifei & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2017. "Model-free adaptive control law for nuclear superheated-steam supply systems," Energy, Elsevier, vol. 135(C), pages 53-67.
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    8. Zhe Dong & Yifei Pan & Zuoyi Zhang & Yujie Dong & Xiaojin Huang, 2017. "Modeling and Control of Fluid Flow Networks with Application to a Nuclear-Solar Hybrid Plant," Energies, MDPI, vol. 10(11), pages 1-21, November.
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    Cited by:

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    2. Hofmann, René & Linzner, Paul & Walter, Heimo & Will, Thomas, 2018. "New approximation algorithms for the state functions of water and steam for the application of transient processes and fast on-line applications," Energy, Elsevier, vol. 164(C), pages 1079-1096.
    3. Zhe Dong & Zhonghua Cheng & Yunlong Zhu & Xiaojin Huang & Yujie Dong & Zuoyi Zhang, 2023. "Review on the Recent Progress in Nuclear Plant Dynamical Modeling and Control," Energies, MDPI, vol. 16(3), pages 1-19, February.
    4. Qiu, Leilei & Liao, Shengyong & Fan, Sui & Sun, Peiwei & Wei, Xinyu, 2023. "Dynamic modelling and control system design of micro-high-temperature gas-cooled reactor with helium brayton cycle," Energy, Elsevier, vol. 278(PB).
    5. Dong, Zhe & Li, Bowen & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2022. "Power-pressure coordinated control of modular high temperature gas-cooled reactors," Energy, Elsevier, vol. 252(C).
    6. Zhu, Yunlong & Dong, Zhe & Cheng, Zhonghua & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2023. "Neural network extended state-observer for energy system monitoring," Energy, Elsevier, vol. 263(PA).
    7. Hui, Jiuwu & Yuan, Jingqi, 2022. "Neural network-based adaptive fault-tolerant control for load following of a MHTGR with prescribed performance and CRDM faults," Energy, Elsevier, vol. 257(C).
    8. Hui, Jiuwu & Yuan, Jingqi, 2022. "Load following control of a pressurized water reactor via finite-time super-twisting sliding mode and extended state observer techniques," Energy, Elsevier, vol. 241(C).
    9. Wu, Shifa & Ma, Xiaolong & Liu, Junfeng & Wan, Jiashuang & Wang, Pengfei & Su, G.H., 2023. "A load following control strategy for Chinese Modular High-Temperature Gas-Cooled Reactor HTR-PM," Energy, Elsevier, vol. 263(PA).
    10. Dong, Zhe & Liu, Miao & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2019. "Automatic generation control for the flexible operation of multimodular high temperature gas-cooled reactor plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 11-31.
    11. Carlo L. Vinoya & Aristotle T. Ubando & Alvin B. Culaba & Wei-Hsin Chen, 2023. "State-of-the-Art Review of Small Modular Reactors," Energies, MDPI, vol. 16(7), pages 1-30, April.
    12. Zhang, Tianhao & Dong, Zhe & Huang, Xiaojin, 2024. "Multi-objective optimization of thermal power and outlet steam temperature for a nuclear steam supply system with deep reinforcement learning," Energy, Elsevier, vol. 286(C).
    13. Hui, Jiuwu & Yuan, Jingqi, 2021. "Chattering-free higher order sliding mode controller with a high-gain observer for the load following of a pressurized water reactor," Energy, Elsevier, vol. 223(C).
    14. Jiang, Di & Dong, Zhe, 2020. "Dynamic matrix control for thermal power of multi-modular high temperature gas-cooled reactor plants," Energy, Elsevier, vol. 198(C).

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