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Volume 44 Issue 5
Oct.  2023
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Fang Yu, Yang Shengxing, Gong Houjun, Zan Yuanfeng, Yang Zumao, Zhuo Wenbin. Development and Application of Cooling Characteristic Analysis Code for Molten Debris Bed[J]. Nuclear Power Engineering, 2023, 44(5): 47-53. doi: 10.13832/j.jnpe.2023.05.0047
Citation: Fang Yu, Yang Shengxing, Gong Houjun, Zan Yuanfeng, Yang Zumao, Zhuo Wenbin. Development and Application of Cooling Characteristic Analysis Code for Molten Debris Bed[J]. Nuclear Power Engineering, 2023, 44(5): 47-53. doi: 10.13832/j.jnpe.2023.05.0047

Development and Application of Cooling Characteristic Analysis Code for Molten Debris Bed

doi: 10.13832/j.jnpe.2023.05.0047
  • Received Date: 2022-11-14
  • Rev Recd Date: 2023-01-13
  • Publish Date: 2023-10-13
  • To analyze the cooling characteristics of debris bed formed in the late stage of severe accident in pressurized water reactor, an analysis code for molten debris bed cooling was developed. Based on the one-dimensional six-equation two-phase flow model, the physical process of two-phase flow and heat transfer in the debris bed was described by using the porous medium flow boiling heat transfer model, and the equations were discretized and solved by using the controlled volume integral method, semi-implicit method and first-order upwind scheme. The results of TUTU, COOLOCE and STYX experiments were used to validate the model from aspects: two-phase flow and dry-out heat flux (DHF). It was found that Hu&Theofanous model and Reed model had better prediction results for the two-phase flow of debris bed with relatively large particle size, while Lipinski model had higher prediction accuracy for the low-pressure DHF of small particle debris bed. The cooling capacity of molten debris bed in severe accident of PWR was predicted by the code. At a particle heat release rate of 1 MW/m3, the cooling height of debris bed was 0.56 m under top-flooding condition; and the height increased to 0.85 m by using bottom-flooding driven by natural circulation.

     

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