Published November 2017 | Version v1
Journal article

Uncertainty assessment for loss of flow accident of a 5 MW pool-type research reactor

  • 1. Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

Description

Highlights: • BEPU analysis were performed with a scenario of PCS pumps fail simultaneously. • The results from BEPU and conservative analysis were compared. • The comparing result shows the applicability and advantages of a BEPU safety analysis. - Abstract: Best estimate plus uncertainty (BEPU) is a promising approach to the safety analysis of nuclear reactors, and the uncertainty calculation is a very important concern about it. BEPU ensures realistic safety margins and secures higher reactor effectiveness by adopting best-estimate codes and realistic input data with uncertainties, whereas the previous conservative analysis generates excessive conservatism by considering each input parameter separately. A loss of flow accident (LOFA) of a 5 MW open-pool type research reactor was selected as a sample problem for a BEPU uncertainty assessment. We selected the failures of all primary cooling system (PCS) pumps, which would cause the abrupt reduction of flow and the reversal of core flow. The significant contributors to the reactor safety were identified and then input sets were sampled. For the uncertainty evaluation, 124 calculations were performed. This is the number of code runs required for a 95%/95% level with the 3rd order Wilk's formula. The MOSAIQUE software developed by Korean Atomic Energy Research Institute (KAERI) was used for automated sampling of the uncertainty parameters, a global uncertainty calculation, and post processing of the results. The critical heat flux ratio (CHFR) and the fuel centerline temperature (FCT) were calculated at the 95%/95% level and were compared with those from conservative analyses. In addition, the impact of each design variables on the safety parameters was estimated by sensitivity analysis.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.anucene.2017.05.018

Additional details

Identifiers

DOI
10.1016/j.anucene.2017.05.018;
PII
S030645491631132X;

Publishing Information

Journal Title
Annals of Nuclear Energy (Oxford)
Journal Volume
109
Journal Page Range
p. 22-29
ISSN
0306-4549
CODEN
ANENDJ

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.