Research of Bundle CHF Prediction Based on Minimum DNBR Point and BO Point Methods

Liu Wei; Peng Shinian; Jiang Guangming; Liu Yu; Shan Jianqiang

doi:10.13832/j.jnpe.2018.05.0172

Volume 39 Issue 5

Oct. 2018

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Liu Wei, Peng Shinian, Jiang Guangming, Liu Yu, Shan Jianqiang. Research of Bundle CHF Prediction Based on Minimum DNBR Point and BO Point Methods[J]. Nuclear Power Engineering, 2018, 39(5): 172-175. doi: 10.13832/j.jnpe.2018.05.0172

Citation:

Liu Wei, Peng Shinian, Jiang Guangming, Liu Yu, Shan Jianqiang. Research of Bundle CHF Prediction Based on Minimum DNBR Point and BO Point Methods[J]. Nuclear Power Engineering, 2018, 39(5): 172-175. doi: 10.13832/j.jnpe.2018.05.0172

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Research of Bundle CHF Prediction Based on Minimum DNBR Point and BO Point Methods

doi: 10.13832/j.jnpe.2018.05.0172

1. Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610213, China;
2. School of Nuclear Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China

Received Date: 2017-12-16
Rev Recd Date: 2018-04-05

Abstract

Abstract

In this study, both of the minimum DNBR point and the BO point methods are applied to develop a new CHF correlation named the ACC correlation coupled with sub-channel code ATHAS. The statistics and predication rate are analyzed. The Owen criterion is used to determine the DNBR limit. The data analysis and assessment results indicate that compared with the minimum DNBR point method, the BO point method predicts the risk of DNB more reasonable and conservative with better predication rate.
- Minimum DNBR point method,
- BO point method,
- Bundle CHF prediction,
- Sub-channel code,
- ATHAS