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A generalized predictive control method for the coolant system of nuclear heating reactor

Author

Listed:
  • Jiang, Qingfeng
  • Hong, Hao
  • Lv, Hong
  • Wang, Pengfei

Abstract

Promoting the development of low-carbon and environmentally friendly clean energy is an important measure to address the global energy crisis and environmental pollution. Nuclear heating reactors (NHRs) which can realize cogeneration were developed in the district heating to alleviate the environmental pressure. The reactor power and reactor outlet coolant temperature need to be varied within a reasonable range, while the frequent changes of heat grid load and many external uncertainties increase the difficulty of coolant system operation control. Based on this, the paper proposed a double-input and single-output generalized predictive control (DISO-GPC) method for the NHR coolant system. Firstly, a Modelica-based coolant system dynamic model was established, which was verified using the design parameters of nominal condition and the RELAP5 model. Then, the comprehensive performance consisting of reactor power, reactor outlet coolant temperature, and control rod speed was taken as the objective function, from which the optimal control law was developed. Finally, the control performance of DISO-GPC system is evaluated from the control hyperparameter sensitivity analysis and typical operational transients. The results demonstrates that the DISO-GPC has excellent control performances for the NHR coolant system and has strong stability and robustness compared with the conventional controller.

Suggested Citation

  • Jiang, Qingfeng & Hong, Hao & Lv, Hong & Wang, Pengfei, 2025. "A generalized predictive control method for the coolant system of nuclear heating reactor," Energy, Elsevier, vol. 337(C).
    • Handle: RePEc:eee:energy:v:337:y:2025:i:c:s0360544225040745
    DOI: 10.1016/j.energy.2025.138432
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    References listed on IDEAS

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