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Optimizing high-level nuclear waste disposal within a deep geologic repository

机译:优化深层地质处置库中的高级核废料处置

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Many countries produce significant quantities of nuclear waste which will have to be permanently and safely placed in a repository. We develop a mixed integer program that determines where to place each waste package of a specific waste type in a given time period with the goal of minimizing heat load concentration within a repository. Operational constraints include: (1) heat load limitations, (2) location and time at which waste packages can be placed, and (3) the number of waste packages that must be placed based on type and time period. Although applicable to other settings, we use the Yucca Mountain repository in Nevada as a case study. Each of the three objectives used for minimizing heat load concentration improves upon existing greedy and sequential filling methods. Existing filling methods give at least a 17 % to an 873 % higher, i.e., worse, heat load concentration in the repository with respect to these objectives than do optimal methods. Enhancements, i.e., symmetry reduction constraints, perturbations, and heuristics, increase the size of solvable problem instances. This research can be applied to any deep geologic repository planned for operation around the world with slight modifications to incorporate site-specific objectives and constraints.
机译:许多国家生产大量核废料,这些核废料必须永久安全地存放在处置库中。我们开发了一个混合整数程序,该程序确定给定时间段内特定废物类型的每个废物包的放置位置,以最大程度地减少存储库中的热负荷浓度。操作上的限制包括:(1)热负荷限制,(2)放置废物包装的位置和时间,以及(3)根据类型和时间段必须放置的废物包装的数量。尽管适用于其他设置,但我们以内华达州的尤卡山仓库为例。用于最小化热负荷浓度的三个目标中的每个目标都在现有的贪婪和顺序填充方法上得到了改进。与最佳方法相比,相对于这些目标,现有的填充方法至少要高出17%至873%,也就是说,存储库中的热负荷集中度要差得多。增强功能(即对称性减少约束,扰动和启发式方法)增加了可解决问题实例的大小。这项研究可以应用到计划在全球范围内运营的任何深层地质资料库,只要稍加修改就可以纳入特定地点的目标和约束条件。

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