engleski

Spent Fuel Dry Storage Loading Plan Based on Uniform Decay Heat Distribution among Casks

For this paper, the optimization of the SFAs arrangement in the casks was performed based on the advanced optimization algorithms such as Differential Evolution, Particle Swarm Optimization, and Sine Cosine Algorithm. The algorithms were adopted for the problem of interest and implemented in the MATLAB code. Each loading campaign was treated separately due to limitations such as minimal cooling time of 5 years in the SFP after a SFA is taken out of the reactor core. The starting time of each campaign and number of relocated elements is the same as in real NEK SFDS project. The decay heats of the SFAs were calculated based on the foreseen operational history using the ORIGEN-S from the SCALE6.2.4 code package. The optimization criterion was a uniformly distributed decay heat among the casks in each loading campaign. The constrains included SFA cooling time and limiting region heat loads. Fitness function was therefore defined as the standard deviation of the total heat loads among the casks. Except for the standard deviation minimization, the results in terms of mean, minimum and maximum cask heat load, as well as the total load in the campaign are also presented.

spent fuel dry storage, loading plan optimization, decay heat, cask

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