Development of statistical thermal design procedure to evaluate engineering uncertainty of super lwr

Jue Yang, Yoshiaki Oka, Jie Liu, Yuki Ishiwatari, Akifumi Yamaji

Research output: Contribution to journalArticle

Abstract

The thermal performance of a nuclear reactor core contains various engineering uncertainties. These uncertainties often arise from calculation, measurement, instrumentation, manufacture, fabrication and data processing. Statistical techniques are useful to evaluate and combine these uncertainties in the thermal design of nuclear reactors. In this paper, a statistical method is developed and employed in the thermal design of the supercritical pressure light water reactor (Super LWR) to evaluate the statistical engineering uncertainties. This method is referred as the Monte Carlo Statistical Thermal Design Procedure for Super LWR (MCSTDP). This method uses the maximum cladding surface temperature (MCST) as a crucial criterion and a sub-channel code is utilized to perform the core thermal hydraulic analysis. The engineering uncertainties are considered with strict respect to the 95/95 limit of Super LWR. The main purpose of this paper is to establish the statistical evaluation methodology. The engineering uncertain for the thermal design of Super LWR is evaluated by using this method to get an approximate quantification. The results are compared with those of the Revised Thermal Design Procedure (RTDP) of Super LWR.

Original languageEnglish
Pages (from-to)32-42
Number of pages11
JournalJournal of Nuclear Science and Technology
Volume43
Issue number1
DOIs
Publication statusPublished - 2006
Externally publishedYes

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Keywords

  • Engineering uncertainties
  • Monte Carlo method
  • Statistical thermal design
  • Super LWR

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Nuclear Energy and Engineering

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