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. Statistical uncertainty analysis applied to fuel depletion calculations
 
research article

Statistical uncertainty analysis applied to fuel depletion calculations

Macian, Rafael
•
Zimmermann, Martin A.
•
Chawla, Rakesh  
2007
Journal of Nuclear Science and Technology

In this paper, we present an uncertainty methodology based on a statistical approach, for assessing uncertainties in lattice code predictions of fuel composition changes with burnup due to uncertainties in the fuel geometric configuration, initial enrichment, and depletion conditions. The methodology has been applied to depletion calculations with CASMO-4 and experimental data from the ARIANE Programme to estimate the calculation uncertainties in nuclide concentration and other neutronic parameters at any time during the irradiation history. Results have shown that important information on the quality of the code's predictions can be obtained by analyzing the comparison of the code's estimates and their associated uncertainties, in the form of tolerance intervals, with experimental data and their reported errors. Atomic Energy Society of Japan.

  • Details
  • Metrics
Type
research article
DOI
10.3327/jnst.44.875
Author(s)
Macian, Rafael
Zimmermann, Martin A.
Chawla, Rakesh  
Date Issued

2007

Publisher

Atomic Energy Society of Japan

Published in
Journal of Nuclear Science and Technology
Volume

44

Issue

6

Start page

875

End page

885

Subjects

Fuel consumption

•

Experimental reactors

•

Irradiation

•

Isotopes

•

Neutrons

•

Statistical methods

•

Uncertainty analysis

Note

Paul Scherrer Institute, Villigen PSI, CH-5232, Switzerland

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LRS  
Available on Infoscience
September 17, 2010
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/53892
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