ICONE15-10008 A New Approach for Optimal Fuel Core Loading Pattern Design in VVER Nuclear Power Reactors Using Genetic Algorithm

Abstract

Most of strategies yet implemented to optimal fuel core loading pattern design in nuclear power reactors, are based on maximizing the core effective multiplication factor (K_<eff>) to extract maximum energy and lowering the local power peaking factor (P_q) from a predetermined value. However, a new optimization criterion could be of interest, aiming maximum burn up of the plutonium content in nuclear fuel assemblies, i.e, minimization of remaining plutonium in spent fuel at the end of cycle (EOC). In this research, we developed a new strategy for optimal fuel core loading pattern of a VVER-1000 reactor, based on multi-objective optimization: lowering the P_q, maximization of the K_<eff> and minimization of remaining plutonium (P_u) in fuels at EOC condition. This strategy has been implemented via exact calculations of fuel burn up during the equilibrium cycle using WIMS and CITATION calculation codes. We used genetic algorithm to find the optimum fuel loading pattern.