When the feedwater valve at the outage loop of the floating nuclear power plant leaks, thermal stratification occurs in the steam generator. It causes lower water temperature in the outage loop. The extent of hazard of this phenomenon cannot be directly determined by the existing measurement parameters, which poses a threat to the operational safety of the reactor. Therefore, this study adopts two routes: data-driven combined with safety analysis system (DSAS) and mechanism model-driven combined with safety analysis system (MSAS), to propose the prediction methods for the minimum temperature of the outage loop and the maximum power caused by the low-temperature coolant. Then, the actual data are used to verify these methods and the prediction results under different initial conditions are analyzed. The results show that both the DSAS method and the MSAS method can predict the minimum temperature of the steam generator in the outage loop and the maximum power when the outage loop is put into operation, but the DSAS method has better performance under certain conditions. These methods can provide guidance to the operators to avoid reactivity insertion accident.

中文翻译：

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停电回路最低温度和低温冷却剂引起的最大功率预测方法

当浮动核电站停运回路给水阀泄漏时，蒸汽发生器内会出现热分层。它会导致停电回路中的水温降低。这种现象的危害程度无法通过现有的测量参数直接确定，对反应堆的运行安全构成威胁。因此，本研究采用数据驱动结合安全分析系统（DSAS）和机制模型驱动结合安全分析系统（MSAS）两条路线，提出停电回路最低温度和最大功率的预测方法。冷却液温度低造成的。然后，利用实际数据对这些方法进行验证，并对不同初始条件下的预测结果进行分析。结果表明，DSAS方法和MSAS方法都可以预测停电回路中蒸汽发生器的最低温度和停电回路投入运行时的最大功率，但DSAS方法在一定条件下具有更好的性能。这些方法可以为操作人员避免反应插入事故提供指导。