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  4. Uncertainty and sensitivity analysis of PWR mini-core transients in the presence of nuclear data uncertainty using non-parametric tolerance limits
 
research article

Uncertainty and sensitivity analysis of PWR mini-core transients in the presence of nuclear data uncertainty using non-parametric tolerance limits

Aures, A.
•
Berner, N.
•
Pautz, A.  
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March 1, 2020
Annals Of Nuclear Energy

The impact of nuclear data uncertainties is studied for the reactor power and the reactivity during control rod withdrawal transients with reactivity insertions of 0.5$ and 0.97$, respectively, for a PWR mini-core model. Multi-group cross sections, the multiplicities of both prompt and delayed neutrons, and fission spectra are varied by the application of the random sampling-based method XSUSA with covariance data of SCALE 6.1 supplemented by JENDL-4.0. The varied multi-group data are used by TRITON/NEWT to generate varied 2-group cross sections, which are then applied in neutron-kinetic/thermal-hydraulic calculations with DYN3D-ATHLET. A significant impact on both the reactivity uncertainty and the power uncertainty is observed. Since the distributional properties of the output time series vary across the problem time, the distribution-free Wilks tolerance limit is applied as a robust uncertainty measure to complex time series patterns. The most contributing nuclide reactions to the power uncertainty are identified via sensitivity analysis. (C) 2019 Elsevier Ltd. All rights reserved.

  • Details
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Type
research article
DOI
10.1016/j.anucene.2019.107146
Web of Science ID

WOS:000509819100004

Author(s)
Aures, A.
Berner, N.
Pautz, A.  
Zwermann, W.
Date Issued

2020-03-01

Publisher

PERGAMON-ELSEVIER SCIENCE LTD

Published in
Annals Of Nuclear Energy
Volume

137

Article Number

107146

Subjects

Nuclear Science & Technology

•

uncertainty analysis

•

sensitivity analysis

•

tmi-1 mini-core transient

•

xsusa

•

dyn3d-athlet

•

wilks tolerance limit

•

squared multiple correlation coefficient

•

validation

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LRS  
Available on Infoscience
March 3, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/166646
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