Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Reactor simulations with nuclear data uncertainties
 
Loading...
Thumbnail Image
research article

Reactor simulations with nuclear data uncertainties

Aures, Alexander
•
Bernnat, Wolfgang
•
Bostelmann, Friederike
Show more
December 15, 2019
Nuclear Engineering And Design

The paper demonstrates the influence of uncertainties in microscopic nuclear data on the results of reactor simulations, both for stationary and transient states. It gives an overview on the methods in use for uncertainty and sensitivity analyses with respect to nuclear data, and discusses the pros and cons. For full-scale reactor simulations, in particular with coupled neutron transport and thermo-hydraulics, random sampling provides a powerful means to propagate nuclear data uncertainties through the complete calculation sequence. Results of uncertainty analyses performed with the GRS XSUSA - "cross section (XS) Uncertainty and Sensitivity Analysis" methodology are shown for radial power distributions from steady-state PWR calculations and for the time evolution of the reactor power in the course of a control rod withdrawal from a PWR mini-core. In all cases, the output uncertainties are considerable. For the radial power distributions, relative la uncertainties of up to 10% are observed, and for the power peak during the transient, the relative to uncertainty reaches 20%. These large uncertainties strongly suggest to routinely accompany best-estimate simulations by uncertainty analyses with respect to nuclear data, in particular for systems beyond LWR for which much less operation experience is available.

  • Details
  • Metrics
Type
research article
DOI
10.1016/j.nucengdes.2019.110313
Web of Science ID

WOS:000493898800033

Author(s)
Aures, Alexander
•
Bernnat, Wolfgang
•
Bostelmann, Friederike
•
Bousquet, Jeremy
•
Krzykacz-Hausmann, Bernard
•
Pautz, Andreas  
•
Velkov, Kiril
•
Zwermann, Winfried
Date Issued

2019-12-15

Publisher

ELSEVIER SCIENCE SA

Published in
Nuclear Engineering And Design
Volume

355

Article Number

110313

Subjects

Nuclear Science & Technology

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LRS  
Available on Infoscience
November 16, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/163175
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés