Comparison of three methodologies for optimization of the layout of in-core detectors with a specific number of detectors. (April 2019)

• Record Type: Journal Article
• Authors: Li, Wenhuai; Ding, Peng; Duan, Chengjie; Cui, Dawei; Qiu, RuoXiang; Shi, Xiuan; Lin, Jiming
• Is Part Of: Annals of nuclear energy. Volume 126(2019)
• Page Start: 359
• Page End: 366
• Publication Date: 2019-04
• Subjects: Detector arrangement optimization -- Knight moving law -- Random forest -- Correlation coefficient -- Mutual information; Nuclear energy -- Periodicals; Nuclear engineering -- Periodicals; 621.4805
• DOI: 10.1016/j.anucene.2018.11.039
• Languages: English
• ISSNs: 0306-4549

Abstract

Highlights: KML, RF and CC methods are introduced for detector layout optimization. Information theory is used to evaluation the specific detector layout. CC method provided a much better result than KML and RF. Abstract: The core monitoring system (CMS) is one of the most important systems in safety of an operational reactor. The detectors arrangement has a significant effect on the evaluation of the reactor power distribution and thermal hydraulic parameters. In this paper, three optimization methodologies are explored under a specific number of detectors to achieve the appropriate detector arrangement. These methods consist of the knight moving law (KML) method, the random forest (RF) method and the correlation coefficient (CC) method. The information theory is used to evaluate the performance of these optimization methods. At last, the CC method can obtain the best detector arrangement with smallest mutual information. Meanwhile, with RF method it may be difficult to obtain the best solution, comparing with the other methods. Although the information entropy method provides a glimpse of the detector arrangement, a more comprehensive evaluation needs to be further refined in engineering practice, taking into account issues such as the influent of detector failure and detector random error, and sensitivity analysis under more reactor operating conditions.