Optimally configuring a measurement system to detect diversions from a nuclear fuel cycle

Johnson, Benjamin L.; Porter, Aaron T.; King, Jeffrey C.; Newman, Alexandra M.

doi:10.1007/s10479-018-2940-x

Cited by 4 publications

(4 citation statements)

References 22 publications

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“…One can improve goals (7) and (8) by disposing of spent fuel with a small volume at the beginning. However, this declines goals (1)-(3), (5), (6) and (9) which can be seen from the solution r3q2. It is possible to improve the goals (1)-(3), (5) and (6) by allowing some canister positions to be empty.…”

mentioning

confidence: 95%

“…Some of these entities are concentrated more on political or social aspects like to determine where to put a disposal repository [3] or how to route the transfer of the nuclear waste, or hazardous waste in general [4,5]. More safety-related aspects are the optimization of the nuclear safeguards [6,7] and the safety assessment of nuclear waste repositories [8]. In our study, we aim to produce a disposal schedule such that several goals related to all the interim storage, the encapsulation facility, and the disposal facility are taken into account simultaneously with multiobjective optimization.…”

Section: Introductionmentioning

confidence: 99%

“…The solution r1q9 does not allow any empty positions in canisters while the solution r1q1 does (see (4)), but the encapsulation ends much later (see (5)) in the solution r1q9 than in r1q1. However, the operation time of the encapsulation facility (see (6)) is shorter in the solution r1q9 than in r1q1. When the disposal facility-related objectives (see (7) and (8)) are compared, the solution r1q9 needs a smaller area than the solution r1q1.…”

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confidence: 99%

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Planning the Schedule for the Disposal of the Spent Nuclear Fuel with Interactive Multiobjective Optimization

2019

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Several countries utilize nuclear power and face the problem of what to do with the spent nuclear fuel. One possibility, which is under the scope in this paper, is to dispose of the fuel assemblies in the disposal facility. Before the assemblies can be disposed of, they must cool down their decay heat power in the interim storage. Next, they are loaded into canisters in the encapsulation facility, and finally, the canisters are placed in the disposal facility. In this paper, we model this process as a nonsmooth multiobjective mixed-integer nonlinear optimization problem with the minimization of nine objectives: the maximum number of assemblies in the storage, maximum storage time, average storage time, total number of canisters, end time of the encapsulation, operation time of the encapsulation facility, the lengths of disposal and central tunnels, and total costs. As a result, we obtain the disposal schedule i.e., amount of canisters disposed of periodically. We introduce the interactive multiobjective optimization method using the two-slope parameterized achievement scalarizing functions which enables us to obtain systematically several different Pareto optimal solutions from the same preference information. Finally, a case study adapting the disposal in Finland is given. The results obtained are analyzed in terms of the objective values and disposal schedules.

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confidence: 95%

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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Planning the Schedule for the Disposal of the Spent Nuclear Fuel with Interactive Multiobjective Optimization

2019

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“…The disposal schedule can be utilized, for example, when the loading of canisters is optimized [10,[14][15][16][17]. The final disposal related aspects in terms of optimization is discussed also from several other points of view, like the placement of the disposal repository [18], to route the transfer of the nuclear waste [19,20], to optimize the shut down date of the reactor [21,22], or from the safety point of view: the optimization of the nuclear safeguards [23,24] and the safety assessment of nuclear waste repositories [25].…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Mixed Integer Nonlinear Model to Plan the Schedule for the Final Disposal of the Spent Nuclear Fuel in Finland

et al. 2020

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The safe disposal of the spent nuclear fuel is the important part of the nuclear power production. In this paper, we model the geological disposal in Finland covering objectives related to the interim storage, the encapsulation facility, the disposal facility, and the costs. A notable fact is that all the fuel types used in Finland are taken into account. The resulting optimization model is of a multiobjective nonlinear mixed integer type having eight objectives. The model is solved with the interactive method utilizing the special type of the achievement scalarizing functions. From this, we obtain a disposal schedule giving amounts of canisters to encapsulate in each time period. The results obtained are analyzed from the practical point of view.

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Solving bi-objective uncertain stochastic resource allocation problems by the CVaR-based risk measure and decomposition-based multi-objective evolutionary algorithms

Xin

Pardalos

et al. 2019

Ann Oper Res

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Optimally configuring a measurement system to detect diversions from a nuclear fuel cycle

Cited by 4 publications

References 22 publications

Planning the Schedule for the Disposal of the Spent Nuclear Fuel with Interactive Multiobjective Optimization

Planning the Schedule for the Disposal of the Spent Nuclear Fuel with Interactive Multiobjective Optimization

Multiobjective Mixed Integer Nonlinear Model to Plan the Schedule for the Final Disposal of the Spent Nuclear Fuel in Finland

Solving bi-objective uncertain stochastic resource allocation problems by the CVaR-based risk measure and decomposition-based multi-objective evolutionary algorithms

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