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Progress in Deep Geologic Disposal Safety Assessment in the U.S. since 2010

Mariner, Paul E.; Connolly, Laura A.; Cunningham, Leigh; Debusschere, Bert J.; Dobson, David C.; Frederick, Jennifer M.; Hammond, Glenn E.; Jordan, Spencer H.; Laforce, Tara C.; Nole, Michael A.; Park, Heeho D.; Bays, Nathan R.; Rogers, Ralph; Seidl, D.T.; Sevougian, Stephen D.; Stein, Emily; Swift, Peter; Swiler, Laura P.; Vo, Jonathan; Wallace, Michael

The Spent Fuel and Waste Science and Technology (SFWST) Campaign of the U.S. Department of Energy (DOE) Office of Nuclear Energy (NE), Office of Spent Fuel & Waste Disposition (SFWD) is conducting research and development (R&D) on geologic disposal of spent nuclear fuel (SNF) and high-level nuclear waste (HLW). Two high priorities for SFWST disposal R&D are design concept development and disposal system modeling (DOE 2011, Table 6). These priorities are directly addressed in the SFWST Geologic Disposal Safety Assessment (GDSA) work package, which is charged with developing a disposal system modeling and analysis capability for evaluating disposal system performance for nuclear waste in geologic media.

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TYPE Other Report YEAR 2019
DOIOSTI

High fidelity surrogate modeling of fuel dissolution for probabilistic assessment of repository performance

International High-Level Radioactive Waste Management 2019, IHLRWM 2019

Mariner, Paul E.; Swiler, Laura P.; Seidl, D.T.; Debusschere, Bert J.; Vo, Johnathan; Frederick, Jennifer M.

Two surrogate models are under development to rapidly emulate the effects of the Fuel Matrix Degradation (FMD) model in GDSA Framework. One is a polynomial regression surrogate with linear and quadratic fits, and the other is a k-Nearest Neighbors regressor (kNNr) method that operates on a lookup table. Direct coupling of the FMD model to GDSA Framework is too computationally expensive. Preliminary results indicate these surrogate models will enable GDSA Framework to rapidly simulate spent fuel dissolution for each individual breached spent fuel waste package in a probabilistic repository simulation. This capability will allow uncertainties in spent fuel dissolution to be propagated and sensitivities in FMD inputs to be quantified and ranked against other inputs.

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TYPE Conference Poster YEAR 2019
OSTIScopus

Benchmarking and QA testing in PFLOTRAN

International High-Level Radioactive Waste Management 2019, IHLRWM 2019

Laforce, Tara C.; Frederick, Jennifer M.; Hammond, Glenn E.; Stein, Emily; Mariner, Paul E.

PFLOTRAN is well-established in single-phase reactive transport problems, and current research is expanding its visibility and capability in two-phase subsurface problems. A critical part of the development of simulation software is quality assurance (QA). The purpose of the present work is QA testing to verify the correct implementation and accuracy of two-phase flow models in PFLOTRAN. An important early step in QA is to verify the code against exact solutions from the literature. In this work a series of QA tests on models that have known analytical solutions are conducted using PFLOTRAN. In each case the simulated saturation profile is rigorously shown to converge to the exact analytical solution. These results verify the accuracy of PFLOTRAN for use in a wide variety of two-phase modelling problems with a high degree of nonlinearity in the interaction between phase behavior and fluid flow.

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TYPE Conference Poster YEAR 2019
OSTIScopus
Results 51–75 of 140
Results 51–75 of 140
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