Analysis and Verification of LOCUST Based on SGTR Accident of DOEL-2

Yuan Bo; Lei Xing; Wen Qinglong; Chen Kang; Xu Caihong; Li Jinggang

doi:10.13832/j.jnpe.2025.01.0092

Volume 46 Issue 1

Feb. 2025

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Yuan Bo, Lei Xing, Wen Qinglong, Chen Kang, Xu Caihong, Li Jinggang. Analysis and Verification of LOCUST Based on SGTR Accident of DOEL-2[J]. Nuclear Power Engineering, 2025, 46(1): 92-99. doi: 10.13832/j.jnpe.2025.01.0092

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Yuan Bo, Lei Xing, Wen Qinglong, Chen Kang, Xu Caihong, Li Jinggang. Analysis and Verification of LOCUST Based on SGTR Accident of DOEL-2[J]. Nuclear Power Engineering, 2025, 46(1): 92-99. doi: 10.13832/j.jnpe.2025.01.0092

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Analysis and Verification of LOCUST Based on SGTR Accident of DOEL-2

doi: 10.13832/j.jnpe.2025.01.0092

Yuan Bo^{1, 2, 3
,},
Lei Xing^{1, 2, 3},
Wen Qinglong^{1, 2, 3},
Chen Kang^{1, 2, 3},
Xu Caihong⁴,
Li Jinggang⁴

1.
Department of Nuclear Engineering and Technology, Chongqing University, Chongqing, 400044, China
2.
Key Laboratory of Low-Grade Energy Utilization Technologies & Systems, Chongqing University, Chongqing, 40044, China
3.
Liangjiang Laboratory for New Energy (Nuclear Energy and Power), Chongqing, 400044, China
4.
China Nuclear Power Technology Research Institute Co., Ltd., Shenzhen, Guangdong, 518000, China

Received Date: 2024-03-14
Rev Recd Date: 2024-04-16
Publish Date: 2025-02-15

Abstract

Abstract

The steam generator tube rupture (SGTR) accident will cause significant fluctuations in the thermal and hydraulic parameters of the primary and secondary circuits, seriously endangering reactor safety. The thermal and hydraulic system analysis software LOCUST developed in China can be used to calculate the thermal and hydraulic parameters in the SGTR accident and predict the accident process. This study takes the SGTR accident of DOEL-2 power plant as the research object, and uses the LOCUST as the calculation tool to model and calculate the DOEL-2 power plant. The calculation results are compared with the RELAP5 calculation results and actual data to evaluate the accuracy of LOCUST software in predicting SGTR accidents. It shows that the LOCUST can effectively predict the SGTR accident process, and the calculated parameters of the primary and secondary circuits are in good agreement with the RELAP5 calculation results and actual data. This study can provide data support for the verification of LOCUST.
- DOEL-2 nuclear power plant,
- Steam generator tube rupture accident (SGTR),
- LOCUST,
- Data verification

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References(18)

References

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