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Application of grey model on analyzing the passive natural circulation residual heat removal system of HTR-10

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Application of grey model on analyzing the passive natural circulation residual heat removal system of HTR-10

ZHOU Tao
PENG Changhong
WANG Zenghui
WANG Ruosu
Nuclear Science and TechniquesVol.19, No.5pp.308-313Published in print 20 Oct 2008
44600

Using the grey correlation analysis, it can be concluded that the reactor pressure vessel wall temperature has the strongest effect on the passive residual heat removal system in HTR (High Temperature gas-cooled Reactor), the chimney height takes the second place, and the influence of inlet air temperature of the chimney is the least. This conclusion is the same as that analyzed by the traditional method. According to the grey model theory, the GM(1,1) and GM(1, 3) model are built based on the inlet air temperature of chimney, pressure vessel temperature and the chimney height. Then the effect of three factors on the heat removal power is studied in this paper. The model plays an important role on data prediction, and is a new method for studying the heat removal power. The method can provide a new theoretical analysis to the passive residual heat removal system of HTR.

Residual heat removal systemGrey modelHTR-10
References
[1] China State Nuclear Security Bureau,

Safety review principle on High Temperature Gas Cool Reactor nuclear power station demonstration engineering

, 2008. www.mep.gov.cn.
Baidu ScholarGoogle Scholar
[2] Yin Q, Xu Z, Wu X, et al. 2007. At Energy Sci Technol, 2007, 41: 74-78 (in Chinese).
[3] Kukito R, Tasake K.

Single-phase natural circulation in pressurized water reactor under degraded secondary cooling conditions

, the Winter Annual Meeting of the ASME, San Francisco, 1989.
Baidu ScholarGoogle Scholar
[4] Wright R F, Schwall J R, Taylor C, et al.

AP1000 passive residual heat removal heat exchanger confirmatory analysis

. International Conference on Nuclear Engineering, Proceedings, ICONE 14, 7, 2006.
Baidu ScholarGoogle Scholar
[5] Zhou T, Su G, Jia D. J Nucl Sci Technol, 2004, 41: 1255-1270.
[6] Chung Y, Kim H C, Chung B D, et al. Ann Nucl Energy, 2006, 33: 262-270.
[7] Xiao Z, Zhuo W, Chen B, et al. Nucl Power Eng, 2005, 26: 548-553 (in Chinese).
[8] Dong Y, Gao Z. Nucl Eng Des, 2006, 236: 510-515.
[9] Deng J. J Grey Syst, 1989, 1: 1-24.
[10] Liu S, Guo T, Dang Y. Grey system theory and its application (Second Edition), Beijing: Science Press, 1999.
[11] Deng J. The base of grey theory. Wuhan: Press of Huazhong University of Science&Technology, 2002 (in Chinese).
[12] Deng J. Grey prediction and grey decision (Revised Edition). Wuhan: Press of Huazhong University of Science&Technology, 2002 (in Chinese).
[13] Lin Y, Liu S. Int J Gen Syst(UK), 2000, 29: 989-999.
[14] Liu S, Lin Y. An introduction to grey systems: foundations, methodology and applications. Grove City: IIGSS academic Publisher, 1998, 8-40.
[15] Zhou T.

Development and research on the codes for passive residual heat removal systems of nuclear heating equipment. Doctoral Thesis

, Xi'an Jiaotong University, 2002 (in Chinese).
Baidu ScholarGoogle Scholar