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SIIA Público
SISTEMA INTEGRAL DE INFORMACIÓN ACADÉMICA - PÚBLICO
Título del libro: American Nuclear Society - 4th Topical Meeting On Advances In Nuclear Fuel Management 2009, Anfm Iv Título del capítulo: Genetic algorithm approach for radial fuel lattice optimization in BWRS
This work describes an optimization procedure based on the Genetic Algorithms technique for the radial distribution of the enrichment and gadolinia (E&G) in fuel lattices of boiling water reactors. The objective function is defined to search for the optimal E&G distribution in a lattice with an average gadolinia concentration equal to a target and an average enrichment as low as needed to satisfy the reactivity target and also to limit the local power peaking factor (LPPF). The optimization process was applied to a 10×10 fuel lattice, and the process was linked to the CASMO-4 simulator to evaluate the neutronic parameters for each E&G distribution investigated. The objective function uses weighting factors (for each evaluation parameter) which adapt their value according to the fulfillment of certain if-then-conditions. In order to reduce computing time, fuel lattice burnup calculations were avoided, however, to ensure good performance during the cycle burnup, the lattice average enrichment and gadolinia concentration were restricted to have values inside a window. To verify the neutronic lattice performance as a function of burnup, the best lattice obtained with the optimization process was simulated with CASMO-4 until 75,000 MWd/t and the curves of k-infinite and LPPF vs burnup were compared with those of a reference lattice.