Published 2008 | Version v1
Book

Improvement of prediction accuracy for fuel fabrication system with erbia bearing fuel

  • 1. Div. of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka Univ., 2-1 Yamada-oka, Suita, Osaka 565-0871 (Japan)
  • 2. Osaka University, Osaka (Japan)
  • 3. Nuclear Fuel Industries Ltd., Osaka (Japan)
  • 4. Kyoto Univ., Osaka (Japan)

Description

The concept of a fuel fabrication system with erbia bearing high burnup fuel has been proposed. The erbia is added to all fuel with over 5% 235U enrichment to retain the neutronics characteristics to that within 5% 235U enrichment. There is a problem of the prediction accuracy of the neutronics characteristics with erbia bearing fuel because of the short of experimental data of erbia bearing fuel. The purpose of the present work is to reduce the uncertainty. A new method has been proposed by combining bias factor method and the cross section adjustment method. In the case of the blending machine (H/U=0) for the fuel fabrication process, the uncertainty reduction, which shows the rate of reduction of uncertainty, of the keff is 0.604 by the present method and 0.555 by the conventional bias factor method. Thus the prediction uncertainties are reduced by the present method compared to the bias factor method. (authors)

Part of:
Proceedings of the 2008 International Congress on Advances in Nuclear Power Plants - ICAPP '08

Additional details

Publishing Information

Publisher
American Nuclear Society - ANS
Imprint Place
La Grange Park (United States)
ISBN
0-89448-061-8
Imprint Title
Proceedings of the 2008 International Congress on Advances in Nuclear Power Plants - ICAPP '08
Imprint Pagination
2696 p.
Journal Page Range
p. 2479-2486

Conference

Title
2008 International Congress on Advances in Nuclear Power Plants
Acronym
ICAPP '08
Dates
8-12 Jun 2008
Place
Anaheim, CA (United States)

Optional Information

Notes
12 refs.