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

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Listed:
  • Benjamin Johnson

    (Colorado School of Mines)

  • Alexandra Newman

    (Colorado School of Mines)

  • Jeffrey King

    (Colorado School of Mines)

Abstract

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.

Suggested Citation

  • Benjamin Johnson & Alexandra Newman & Jeffrey King, 2017. "Optimizing high-level nuclear waste disposal within a deep geologic repository," Annals of Operations Research, Springer, vol. 253(2), pages 733-755, June.
    • Handle: RePEc:spr:annopr:v:253:y:2017:i:2:d:10.1007_s10479-016-2194-4
    DOI: 10.1007/s10479-016-2194-4
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    References listed on IDEAS

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    Cited by:

    1. Outi Montonen & Ville-Pekka Eronen & Timo Ranta & Jani A. S. Huttunen & Marko M. Mäkelä, 2020. "Multiobjective Mixed Integer Nonlinear Model to Plan the Schedule for the Final Disposal of the Spent Nuclear Fuel in Finland," Mathematics, MDPI, vol. 8(4), pages 1-29, April.
    2. Jānis Krūmiņš & Māris Kļaviņš, 2023. "Investigating the Potential of Nuclear Energy in Achieving a Carbon-Free Energy Future," Energies, MDPI, vol. 16(9), pages 1-31, April.
    3. Pablo Fernández-Arias & Diego Vergara & Álvaro Antón-Sancho, 2023. "Global Review of International Nuclear Waste Management," Energies, MDPI, vol. 16(17), pages 1-18, August.

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