Nuclear Techniques ›› 2017, Vol. 40 ›› Issue (12): 120604-120604.doi: 10.11889/j.0253-3219.2017.hjs.40.120604

• NUCLEAR ENERGY SCIENCE AND ENGINEERING • Previous Articles     Next Articles

Application of fuzzy nearness method in the selection of heat transfer relationship of supercritical water reactor

ZHOU Tao1,2,3, LI Bing1,2,3, QI Shi1,2,3, MA Dongliang1,2,3, HUANG Yanping4   

  1. 1 School of Nuclear Science and Engineering, North China Electric Power University, Beijing 102206, China;
    2 Institute of Nuclear Thermal-hydraulic Safety and Standardization, North China Electric Power University, Beijing 102206, China;
    3 Beijing Key Laboratory of Passive Safety Technology for Nuclear Energy, North China Electric Power University, Beijing 102206, China;
    4 Key Laboratory on Nuclear Reactor Thermal Hydraulics Technology, China National Nuclear Corporation, Chengdu 610041, China
  • Received:2017-02-24 Revised:2017-05-25 Online:2017-12-10 Published:2017-12-08
  • Supported by:
    Supported by the Key Laboratory of Thermal Nuclear Hydraulic Technology for Nuclear Reactors (No.2013B40), the National Marine Major Project (No.2016YFC1402501)

Abstract: Background: Supercritical water-cooled reactor (SCWR) is the only water-cooled reactor among the fourth generation reactors. And its thermal hydraulic process is the key to the study of SCWR, which is directly related to the safety and economy of the reactor. Purpose: The degree of closeness between the determined working condition and the applicable range of empirical formula is compared to get the most suitable empirical relation. Methods: Based on the concept of closeness degree in fuzzy mathematics, the coefficient of variation method is used to determine the weight of each factor. Results: The calculation results by Hamming closeness degree, Euclid closeness degree and maximum minimum closeness degree are basically the same. Conclusion: For the problem of flow and heat transfer of supercritical water reactor, a kind of optimal correlation selection method is proposed based on the known correlation.

Key words: Supercritical water-cooled reactor, Relevance, Fuzzy nearness degree, Variation coefficient method

CLC Number: 

  • TL339