Published October 2013 | Version v1
Journal article Metadata-only

Study on fuel loading pattern optimization for a pressurized water reactor using particles warm method

Creators

  • 1. School of Physics and Engineering, Sun Yat-sen University, Guangzhou (China)
  • 2. Sino-Frech Institute of Nuclear Engineering and Technology, Sun Yat-sen University, Guangzhou (China)

Description

A mathematical model for the loading pattern (LP) optimization for a pressurized water reactor (PWR) was established based on Daya Bay Nuclear Power Plant. The discreet, multi-objective particle swarm optimization algorithm was integrated with the core physics calculation code 'Donjon' based on finite element method, and assembles group constant calculation code 'Dragon', developing an optimizing code for fuel arrangement. This code is applied to optimize the first cycle loading of Daya Bay Nuclear Power Plant. The result shows that, compared with the reference LP, the core effective multiplication factor increases by 9.16%, while the local power peaking factor is lower than 1.4, satisfying the safety requirement. (authors)

Additional details

Publishing Information

Journal Title
Nuclear Power Engineering
Journal Volume
34
Journal Issue
5
Journal Page Range
p. 1-5
ISSN
0258-0926

INIS

Country of Publication
China
Country of Input or Organization
China
INIS RN
47112351
Subject category
S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
Descriptors DEI
ALGORITHMS; COMPARATIVE EVALUATIONS; DAYA BAY-1 REACTOR; FINITE ELEMENT METHOD; GROUP CONSTANTS; MATHEMATICAL MODELS; MULTIPLICATION FACTORS; NUCLEAR POWER PLANTS; OPTIMIZATION; PWR TYPE REACTORS; REACTOR FUELING; SAFETY
Descriptors DEC
CALCULATION METHODS; CROSS SECTIONS; DIMENSIONLESS NUMBERS; ENRICHED URANIUM REACTORS; EVALUATION; MATHEMATICAL LOGIC; MATHEMATICAL SOLUTIONS; NUCLEAR FACILITIES; NUMERICAL SOLUTION; POWER PLANTS; POWER REACTORS; PWR TYPE REACTORS; REACTORS; THERMAL POWER PLANTS; THERMAL REACTORS; WATER COOLED REACTORS; WATER MODERATED REACTORS

Optional Information

Notes
7 figs., 3 tabs., 8 refs.