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This paper selects PEPSE as the simulation platform and utilizes modular modeling techniques to construct a model of the secondary loop thermal system for a nuclear power plant in China. Additionally, thermal performance correction algorithms have been developed for key equipment within the system to enhance the accuracy of the simulation model. In this paper, actual operating condition data outside a selected set of modeling samples were used to conduct model validation. The deviation between the obtained model simulation values and the actual monitored values at the power plant was within 2.5%, indicating that the developed model has high simulation accuracy. The developed off-design model not only facilitates analytical deviation of design parameters under partial-load conditions, but also establishes itself as a quantifiable performance benchmark for system operational monitoring, thereby providing substantive guidance for power plant operational optimization and production management.

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Research on Modeling and Simulation of the Thermal System in the Secondary Loop of a Pressurized Water Reactor Nuclear Power Plant

  • 会议论文

  • 发表日期：

    2026年

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  • Shuhang Yan,
  • Kaili Xu,
  • Tianqi He,
  • Chang Gao,
  • Yong Wang,
  • Yizhou Zhang

摘要

This paper selects PEPSE as the simulation platform and utilizes modular modeling techniques to construct a model of the secondary loop thermal system for a nuclear power plant in China. Additionally, thermal performance correction algorithms have been developed for key equipment within the system to enhance the accuracy of the simulation model. In this paper, actual operating condition data outside a selected set of modeling samples were used to conduct model validation. The deviation between the obtained model simulation values and the actual monitored values at the power plant was within 2.5%, indicating that the developed model has high simulation accuracy. The developed off-design model not only facilitates analytical deviation of design parameters under partial-load conditions, but also establishes itself as a quantifiable performance benchmark for system operational monitoring, thereby providing substantive guidance for power plant operational optimization and production management.