DocumentCode :
1157049
Title :
Monitoring Minimum DNBR Using a Support Vector Regression Model
Author :
Lim, Dong Hyuk ; Yang, Heon Young ; Na, Man Gyun
Author_Institution :
Dept. of Nucl. Eng., Chosun Univ., Gwangju
Volume :
56
Issue :
1
fYear :
2009
Firstpage :
286
Lastpage :
293
Abstract :
The pressurized water reactor operates in the nucleate boiling regime. The transition from nucleate boiling to the film boiling accompanied by severe reduction of the heat transfer capability can result, however, in a boiling crisis that in the long run can cause fuel cladding melting. Therefore, it is very important to predict and monitor the departure from nucleate boiling (DNB) to prevent fuel clad melting and control the boiling crisis. In this study, the minimum DNB ratio (MDNBR) is predicted based on support vector regression (SVR) model using a number of measured signals from the reactor coolant system. SVR models are trained using a training data set and verified against test data set, which does not include training data. The SVR models have been applied to the first cycle of the Yonggwang 3 nuclear power plant. The estimation accuracy of the MDNBR was high enough to be used in DNB monitoring. Also, SVR model provides larger MDNBR values as compared to the existing core operation limit supervisory system, which allows greater operation margin.
Keywords :
fission reactor coolants; fission reactor cooling; fission reactor fuel claddings; fission reactor monitoring; fission reactor theory; heat transfer; light water reactors; Yonggwang 3 nuclear power plant; fuel cladding melting; heat transfer capability; monitoring minimum DNBR; nucleate boiling region; pressurized water reactor operation; reactor coolant system; reactor cooling system; support vector regression model; Coolants; Fuels; Heat transfer; Inductors; Monitoring; Power generation; Power system modeling; Predictive models; Testing; Training data; DNB monitoring; Departure from nucleate boiling ratio (DNBR); subtractive clustering (SC); support vector regression (SVR);
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/TNS.2008.2009216
Filename :
4782158
Link To Document :
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