Automatic fuel lattice design in a boiling water reactor using a particle swarm optimization algorithm and local search

作者：Lin Chaung^*; Lin Tung Hsien

来源：Annals of Nuclear Energy, 2012, 47: 98-103.

DOI：10.1016/j.anucene.2012.04.012

• Lattice design
• BWR
• Particle swarm optimization
• Local search

The axial section of fuel assembly in a boiling water reactor (BWR) consists of five or six different distributions; this requires a radial lattice design. In this study, an automatic procedure based on a particle swarm optimization (PSO) algorithm and local search was developed to design the radial enrichment and gadolinia (Gd) distribution of the fuel lattice. The design goals were to achieve the minimum local peaking factor (LPF), and to come as close as possible to the specified target average enrichment and target infinite multiplication factor (k(infinity)), in which the number of fuel pins with Gd and Gd concentration are fixed. In this study, three axial sections are designed, and lattice performance is calculated using CASMO-4. Finally, the neutron cross section library of the designed lattice is established by CMSLINK: the core status during depletion, such as thermal limits, cold shutdown margin and cycle length, are then calculated using SIMULATE-3 in order to confirm that the lattice design satisfies the design requirements.

• 出版日期2012-9
• 单位清华大学