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dc.contributor.advisorNewman, Alexandra M.
dc.contributor.advisorKing, Jeffrey C.
dc.contributor.authorJohnson, Benjamin Lloyd
dc.date.accessioned2017-02-28T18:47:30Z
dc.date.accessioned2022-02-03T13:00:20Z
dc.date.available2017-02-28T18:47:30Z
dc.date.available2022-02-03T13:00:20Z
dc.date.issued2017
dc.identifierT 8230
dc.identifier.urihttps://hdl.handle.net/11124/170687
dc.descriptionIncludes bibliographical references.
dc.description2017 Spring.
dc.description.abstractThis dissertation consists of three papers; the first is published in Annals of Operations Research, the second is nearing submission to INFORMS Journal on Computing, and the third is the predecessor of a paper nearing submission to Progress in Nuclear Energy. We apply operations research techniques to nuclear waste disposal and nuclear safeguards. Although these fields are different, they allow us to showcase some benefits of using operations research techniques to enhance nuclear energy applications. The first paper, "Optimizing High-Level Nuclear Waste Disposal within a Deep Geologic Repository," presents a mixed-integer programming model that determines where to place high-level nuclear waste packages in a deep geologic repository to minimize heat load concentration. We develop a heuristic that increases the size of solvable model instances. The second paper, "Optimally Configuring a Measurement System to Detect Diversions from a Nuclear Fuel Cycle," introduces a simulation-optimization algorithm and an integer-programming model to find the best, or near-best, resource-limited nuclear fuel cycle measurement system with a high degree of confidence. Given location-dependent measurement method precisions, we (i) optimize the configuration of n methods at n locations of a hypothetical nuclear fuel cycle facility, (ii) find the most important location at which to improve method precision, and (iii) determine the effect of measurement frequency on near-optimal configurations and objective values. Our results correspond to existing outcomes but we obtain them at least an order of magnitude faster. The third paper, "Optimizing Nuclear Material Control and Accountability Measurement Systems," extends the integer program from the second paper to locate measurement methods in a larger, hypothetical nuclear fuel cycle scenario given fixed purchase and utilization budgets. This paper also presents two mixed-integer quadratic programming models to increase the precision of existing methods given a fixed improvement budget and to reduce the measurement uncertainty in the system while limiting improvement costs. We quickly obtain similar or better solutions compared to several intuitive analyses that take much longer to perform.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.ispartof2017 - Mines Theses & Dissertations
dc.rightsCopyright of the original work is retained by the author.
dc.subjectnuclear safeguards
dc.subjectsimulation optimization
dc.subjectnuclear waste disposal
dc.subjectinteger programming
dc.titleOperations research applications in nuclear energy
dc.typeText
dc.contributor.committeememberPorter, Aaron T.
dc.contributor.committeememberJensen, Mark
dc.contributor.committeememberGreife, Uwe
dc.contributor.committeememberVan Bossuyt, Douglas L.
thesis.degree.nameDoctor of Philosophy (Ph.D.)
thesis.degree.levelDoctoral
thesis.degree.disciplineMechanical Engineering
thesis.degree.grantorColorado School of Mines


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