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In recent decades several meta-heuristic algorithms or computational intelligence methods have been expanded to optimize reactor core loading pattern.
In recent decades several metaheuristic algorithms or computational intelligence methods have been expanded to optimize reactor core loading pattern.
Five different distributions, ranging from preferential shell-loading to uniform to preferential core loading, have been studied under isothermal conditions.
Uranium, flown in from the United States on a chartered Boeing 747, was trucked in, and by 1986, the operators were ready for a penultimate step called core loading.
Fuel depletion simulations are performed to optimize the active fuel length, fuel enrichment and core loading pattern in order to achieve a uniform core power distribution.
In this research, a new strategy based on Particle Swarm Optimization (PSO) algorithm has been developed to optimize the fuel core loading pattern in a typical VVER.
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The combination of core load following control subsystems at all power levels is the core load following control system.
The combination of core load following control subsystems at ten power levels is the core load following control system.
The feasibility of a full core loaded with the 11×11 overmoderated MOX fuel assembly is verified.
A nonlinear core model and a flexibility controller at a random power level compose a core load following control subsystem.
The objective of this investigation is to design a nonlinear Pressurized Water Reactor (PWR) core load following control system.
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