The pH and Iodine Diffusion Model for IRWST after LOCA Accident of HPR1000

Wang Chengyu; Lu Changdong; Guo Shaoqiang; Chen Yichen; Zhou Wentao; Jiang Pingting

doi:10.13832/j.jnpe.2024.01.0186

Volume 45 Issue 1

Feb. 2024

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Wang Chengyu, Lu Changdong, Guo Shaoqiang, Chen Yichen, Zhou Wentao, Jiang Pingting. The pH and Iodine Diffusion Model for IRWST after LOCA Accident of HPR1000[J]. Nuclear Power Engineering, 2024, 45(1): 186-193. doi: 10.13832/j.jnpe.2024.01.0186

Citation:

Wang Chengyu, Lu Changdong, Guo Shaoqiang, Chen Yichen, Zhou Wentao, Jiang Pingting. The pH and Iodine Diffusion Model for IRWST after LOCA Accident of HPR1000[J]. Nuclear Power Engineering, 2024, 45(1): 186-193. doi: 10.13832/j.jnpe.2024.01.0186

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The pH and Iodine Diffusion Model for IRWST after LOCA Accident of HPR1000

doi: 10.13832/j.jnpe.2024.01.0186

1.
School of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an, 710049, China
2.
China Nuclear Power Technology Research Institute Co., Ltd., Shenzhen, Guangdong, 518031, China
3.
Shanghai Jiao Tong University, Shanghai, 200240, China

Received Date: 2023-02-15
Rev Recd Date: 2023-06-06
Publish Date: 2024-02-15

Abstract

Abstract

A passive pH adjustment basket is set in the HPR1000 pit to control the pH of the in-containment refueling water storage tank (IRWST) after the loss of coolant accident (LOCA) by adding alkaline additives, so as to reduce the concentration of gaseous iodine in the containment. Predicting the pH and iodine concentration after an accident is critical for accident source term and radioactive analysis. In this paper, aiming at the recirculation water flow after LOCA, combined with the gas-liquid distribution of iodine and the two-film theory and the relationship between iodine form and pH, a macro transient model is established to realize the calculation of IRWST transient pH, substance concentration and gas-liquid two-phase iodine concentration in containment after the accident. By comparing with the results of Visual MINTEQ software, the pH calculation part of the model is verified. The condition parameters are substituted into the model to analyze the influencing factors. The results can correctly show the relationship between pH and iodine concentration, which proves that the model has the ability to predict pH and iodine concentration after accident.
- Loss of coolant accident (LOCA),
- Containment,
- Iodine,
- pH,
- HPR1000

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References(21)

References

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