Development of an Optimization Code for the Logistics of Spent Fuel Assembly Loading into Final Disposal Canisters
Open access
Author
Date
2015-09Type
- Master Thesis
ETH Bibliography
yes
Altmetrics
Abstract
The loading of the nuclear Spent Fuel Assemblies (SFAs) produced in Switzerland into disposal canisters for their final emplacement into a deep geological repository have to be planned in advance. To limit the associated cost and the time duration of the corresponding surface facility, an optimization has to be applied to the aforementioned problem, since its solution cannot be found analytically. For this purpose, the National Cooperative for the Disposal of Radioactive Waste (Nagra) developed the logistic optimization code “SIMAN”, using the so called Simulated Annealing method. The objective is to find the best possible loading configurations to minimize the total number of canisters needed. The aims of this study were to finish and analyze the performance of the previous code system and provide features for extended analysis on the resulting canister loading configurations. Two code versions were used to simulate different boundary conditions regarding the disposal procedure. Realistic boundary conditions confirmed to add a 10% increase (conservatively) to the total number of disposal canisters needed, compared to the simplified boundary conditions. In addition, the different reasons and their relative contributions to this increase have been determined and quantified. Finally, an extension to the reference disposal concept has been investigated (mixed canister) indicating significant potentials for further decrease of the total number of canisters. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000248319Publication status
publishedPublisher
ETH ZurichSubject
Nuclear waste management; Optimization; Deep geological repository (DGR); Simulated Annealing; Nuclear Fuel Cycle; Used Nuclear Fuel DisposalOrganisational unit
02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.
Related publications and datasets
Is cited by: https://doi.org/10.1016/j.nucengdes.2017.04.036
More
Show all metadata
ETH Bibliography
yes
Altmetrics