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Chee, Gwendolyn J.; Huff, Kathryn D.
WM Symposia, Inc., PO Box 27646, 85285-7646 Tempe, AZ (United States)2019
WM Symposia, Inc., PO Box 27646, 85285-7646 Tempe, AZ (United States)2019
AbstractAbstract
[en] Previous work towards studying repository loading have used: - spent nuclear fuel (SNF) with an average burnup composition; - a lumped capacitance thermal model for calculating temperature in a Cyclus repository model. The goal of this work is to improve on the repository models and use U.S. historical SNF inventory data in simulations to more accurately study the loading of a waste repository. These goals will be achieved by: - using UNF-ST-and-DARDS Unified Database (UDB) that has historic assembly-specific data (e.g, isotopic composition, heat) in Cyclus simulations; - implementing a more accurate thermal model within a Cyclus repository model. Objectives: - Create a Cyclus spent fuel conditioning model that packages spent fuel bundles into packages which have user-defined properties. - Create a Cyclus medium-fidelity repository model that gives accurate time and spatial dependent temperature values and loads the repository based on a user-selected loading strategy. Cyclus is an agent-based extensible framework for modeling flow of material through user-defined nuclear fuel cycles. In Cyclus, each facility in the fuel cycle is modeled individually and the facilities interact with one another as independent agents. The spent fuel conditioning model accepts spent fuel bundles and puts them into a cylindrical waste package. In the spent fuel conditioning model, the user can define variables: For each layer, radius, thermal conductivity, thermal diffusivity; For each package, Number of spent fuel bundles, Radius and height. The waste repository model accepts waste packages and emplaces them into available positions within the waste repository based on a thermal criteria. The thermal criteria is a temperature limit at the interface between the waste package surface and the host geology, that is set based on the repository's host geology. In the waste repository model, the user can define the variables: Capacity, Distance between waste packages, Distance between drifts, Repository host geology, Loading Strategy. After the addition of new waste packages at each time step, the waste repository model recalculates the temperature at each location in the repository. If the addition of this new package causes its temperature to exceed the thermal limit, it will be placed back into the buffer. A thermal model that relies on a transient 'outside' model and quasi-steady-state 'inside' model is used to accurately determine the temperature in the repository. The 'outside' model assumes a homogenous medium with the Engineered Barrier System (EBS) replaced by the geologic medium. Temperature solutions for the central waste package, adjacent point and line sources are superimposed to calculate the temperature at specific points in the repository. The central drift consists of one finite line source which represents the central waste package. The central drift also consists of point sources that represent neighboring waste packages in the central drift. The neighboring drifts are represented by infinite line sources. The 'inside' model is considered to be at a quasi-steady-state condition because EBS has a relatively low thermal mass compared to the infinite geologic medium. The steady state calculation is performed at each time step with the heat source and interface temperature as boundary conditions. Future Work: Run Cyclus simulations with U.S. historical SNF inventory data, the spent fuel conditioning and repository models to study how waste package acceptance strategies impact repository loading
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2019; 1 p; WM2019: 45. Annual Waste Management Conference; Phoenix, AZ (United States); 3-7 Mar 2019; Available from: WM Symposia, Inc., PO Box 27646, 85285-7646 Tempe, AZ (US); Country of input: France; 7 refs.; available online at: https://www.xcdsystem.com/wmsym/2019/index.html
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Miscellaneous
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Conference
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DIMENSIONLESS NUMBERS, ELECTRICAL PROPERTIES, ENERGY SOURCES, FUEL ASSEMBLIES, FUELS, MANAGEMENT, MATERIALS, NUCLEAR FUELS, PHYSICAL PROPERTIES, RADIATION SOURCES, RADIOACTIVE MATERIALS, RADIOACTIVE WASTE MANAGEMENT, REACTOR MATERIALS, SIMULATION, STORAGE, THERMODYNAMIC PROPERTIES, WASTE DISPOSAL, WASTE MANAGEMENT, WASTE STORAGE, WASTES
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