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Volume 45 Issue 2
Apr.  2024
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Sheng Huimin, He Junyi, Gou Junli, Shan Jianqiang, Liu Guoming. Improvement of Radiolytic Gas Model for Criticality Accident Analysis of Nuclear Fuel Solution System[J]. Nuclear Power Engineering, 2024, 45(2): 160-165. doi: 10.13832/j.jnpe.2024.02.0160
Citation: Sheng Huimin, He Junyi, Gou Junli, Shan Jianqiang, Liu Guoming. Improvement of Radiolytic Gas Model for Criticality Accident Analysis of Nuclear Fuel Solution System[J]. Nuclear Power Engineering, 2024, 45(2): 160-165. doi: 10.13832/j.jnpe.2024.02.0160

Improvement of Radiolytic Gas Model for Criticality Accident Analysis of Nuclear Fuel Solution System

doi: 10.13832/j.jnpe.2024.02.0160
  • Received Date: 2023-05-02
  • Rev Recd Date: 2023-11-17
  • Publish Date: 2024-04-12
  • The accurate simulation of transient criticality accident is a key factor in critical safety assessment of nuclear fuel solution system. However, the existing radiolysis gas models contain many empirical parameters, which result in significant deviations in the prediction of the power characteristics. To improve the simulation accuracy and avoid relying on the empirical parameters in the model, the radiolytic gas model needs to be improved. Based on the analysis of radiolysis gas behavior in solution and simplified assumptions, a conservation model including radiolytic gas concentration, mass per unit volume of radiolytic bubbles and number of density bubbles was established. This model was coupled with a point reactor kinetics model and a two-dimensional heat conduction model to develop a two-dimensional transient analysis code for solution systems. The code was verified with the Japanese TRACY experiment. The results show that the simulated values of the code are in good agreement with the experimental data, and the improved model can accurately simulate the power change of the solution system during critical accidents.

     

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