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Article
Development of practical method using a Monte Carlo code for evaluation of optimum fuel pitch in a typical VVER-1000 core
Annals of Nuclear Energy
  • Navid Taheranpoura, Amirkabir University of Technology, Tehran, Iran
  • Ahmad Talaei, Utah State University
Document Type
Article
Publication Date
4-1-2013
DOI
10.1016/j.anucene.2012.10.029
Disciplines
Abstract
In this work, we developed a practical method to evaluate the optimum moderator-to-fuel ratio of a typical VVER reactor using a Monte Carlo code. To reach this aim, by analyzing the curves of the infinite multiplication factor (k∞) versus moderator-to-fuel ratio, the optimum fuel pitch is determined for different fuel diameters of the proposed fuel elements using the MCNPX code. Optimum moderator-to-fuel ratio and fuel pitch were determined from the curves where the value of k∞ is maximum for cold conditions and is located in an under-moderated region for hot conditions. Also, the void reactivity coefficient must be negative and smooth for the selected fuel pitch. Then, the gained optimum values of the proposed fuel elements are considered to evaluate the effective multiplication factor of the core, which should be located in the under-moderated region for all Cold Zero Power (CZP), Hot Zero Power (HZP), and Hot Full Power (HFP) conditions. Finally, we compared the calculated optimum values with the values given in VVER-1000 Final Safety Analysis Report (FSAR). The results show that the fuel diameter and pitch of 7.57 and 12.75 mm, respectively, provide the best neutronic economy among all tested values.129
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Published in Annals of Nuclear Physics by Elsevier Publishing. Publisher version requires subscription to access and is available through link above.

Citation Information
Navid Taheranpour, Ahmad Talaei, Development of practical method using a Monte Carlo code for evaluation of optimum fuel pitch in a typical VVER-1000 core, Annals of Nuclear Energy, Volume 54, April 2013, Pages 129-133, ISSN 0306-4549, http://dx.doi.org/10.1016/j.anucene.2012.10.029.