Heuristic Rules in Genetic Algorithm for Fuel Management Optimization

ISBN-13: 9783639143584 / Angielski / Miękka / 2009 / 296 str.

Fatih Alim

Opis

The objective of this study was to develop a uniquemethodology and a practical tool for designingloading pattern (LP) and burnable poison (BP)pattern for a given Pressurized Water Reactor (PWR)core. Because of the large number of possiblecombinations for the fuel assembly (FA) loading inthe core, the design of the core configuration is acomplex optimization problem. It requires finding anoptimal FA arrangement and BP placement in order toachieve maximum cycle length while satisfying thesafety constraints. To solve this optimizationproblem, a LP optimization package, GARCO (GeneticAlgorithm Reactor Code Optimization) code isdeveloped. This code is applicable for all types ofPWR cores having different geometries and structureswith an unlimited number of FA types in theinventory. To reach this goal, an innovative GA isdeveloped by modifying the classical representationof the genotype. To obtain the best result in ashorter time, not only the representation is changedbut also the algorithm is changed to use in-corefuel management heuristics rules. The improved GAcode was tested to demonstrate and verify theadvantages of the new enhancements.

O autorze

Dr. Alim was born in 1975 in Turkey. He graduated from
Department of Nuclear Engineering at Hacettepe University in
1997. He earned his Ph.D. degree in Nuclear and Mechanical
Engineering from Penn State University in 2006. He is currently
working in Turkish Atomic Energy Authority as a Nuclear
Engineer. He is married and has a daughter.