Loading pattern optimization of the multi-batch boron-free core by the coati optimization algorithm

Abstract

To reach the soluble-boron-free reactor core proper performance and efficient operation, attention to the loading pattern strategy is one of the fundamental problems. Fuel management of these reactors is a more complicated issue due to the absence of soluble boron and using of more burnable poisons. This paper discusses the optimization of the loading pattern of the soluble-boron-free core by a novel meta-heuristic algorithm known as the coati algorithm which reproduces their strategy while attacking iguanas and escaping from predators. Furthermore, a neutronic/thermal-hydraulic multi-objective function is used in this context. The excess reactivity, radial power peaking factors, reactivity swing, maximum fuel centerline temperature, and coolant enthalpy-rise factor have been considered in the proposed multi-objective function. The coati optimization algorithm proposed optimized fuel arrangements that give a proper radial power distribution over the cycle, including a power profile that will generally yield the minimum relative power distributions. For the final optimized pattern, the criticality search is done during the operation cycle by proper control rod behavior strategy. The obtained outcomes indicate that this algorithm and the defined multi-objective function can provide proper solutions for the boron-free cores loading pattern optimization, in such a way that can considering the reactivity swing entire the cycle.