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Dive into the research topics where Andrew T. Godfrey is active.

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Featured researches published by Andrew T. Godfrey.


Journal of Computational Physics | 2016

Stability and accuracy of 3D neutron transport simulations using the 2D/1D method in MPACT ☆

Benjamin Collins; Shane Stimpson; Blake W. Kelley; Mitchell Young; Brendan Kochunas; Aaron Graham; Edward W. Larsen; Thomas Downar; Andrew T. Godfrey

A consistent “2D/1D” neutron transport method is derived from the 3D Boltzmann transport equation, to calculate fuel-pin-resolved neutron fluxes for realistic full-core Pressurized Water Reactor (PWR) problems. The 2D/1D method employs the Method of Characteristics to discretize the radial variables and a lower order transport solution to discretize the axial variable. This paper describes the theory of the 2D/1D method and its implementation in the MPACT code, which has become the whole-core deterministic neutron transport solver for the Consortium for Advanced Simulations of Light Water Reactors (CASL) core simulator VERA-CS. Several applications have been performed on both leadership-class and industry-class computing clusters. Results are presented for whole-core solutions of the Watts Bar Nuclear Power Station Unit 1 and compared to both continuous-energy Monte Carlo results and plant data.


Nuclear Science and Engineering | 2013

Full core reactor analysis: Running Denovo on Jaguar

Joshua J Jarrell; Thomas M. Evans; Gregory G. Davidson; Andrew T. Godfrey

Abstract Fully consistent, full core, three-dimensional, deterministic neutron transport simulations using the orthogonal mesh code Denovo were run on the massively parallel computing architecture Jaguar XT5. Using energy and spatial parallelization schemes, Denovo was able to efficiently scale to more than 160 000 processors. Cell-homogenized cross sections were used with step characteristics, linear discontinuous finite element, and trilinear discontinuous finite element spatial methods. It was determined that using the finite element methods gave considerably more accurate eigenvalue solutions for large–aspect ratio meshes than using step characteristics.


Nuclear Technology | 2014

Neutronics Studies of Uranium-Bearing Fully Ceramic Microencapsulated Fuel for Pressurized Water Reactors

Nathan M George; G. Ivan Maldonado; Kurt A. Terrani; Andrew T. Godfrey; Jess C Gehin; Jeffrey J. Powers

Abstract This study evaluated the neutronics and some of the fuel cycle characteristics of using uranium-based fully ceramic microencapsulated (FCM) fuel in a pressurized water reactor (PWR). Specific PWR lattice designs with FCM fuel have been developed that are expected to achieve higher specific burnup levels in the fuel while also increasing the tolerance to reactor accidents. The SCALE software system was the primary analysis tool used to model the lattice designs. A parametric study was performed by varying tristructural isotropic particle design features (e.g., kernel diameter, coating layer thicknesses, and packing fraction) to understand the impact on reactivity and resulting operating cycle length. To match the lifetime of an 18-month PWR cycle, the FCM particle fuel design required roughly 10% additional fissile material at beginning of life compared with that of a standard uranium dioxide (UO2) rod. Uranium mononitride proved to be a favorable fuel for the fuel kernel due to its higher heavy metal loading density compared with UO2. The FCM fuel designs evaluated maintain acceptable neutronics design features for fuel lifetime, lattice peaking factors, and nonproliferation figure of merit.


Nuclear Science and Engineering | 2017

VERA Core Simulator methodology for pressurized water reactor cycle depletion

Brendan Kochunas; Benjamin Collins; Shane Stimpson; Robert K. Salko; Daniel Jabaay; Aaron Graham; Yuxuan Liu; Kang Seog Kim; William A. Wieselquist; Andrew T. Godfrey; Kevin T. Clarno; Scott Palmtag; Thomas J. Downar; Jess C Gehin

This paper describes the methodology developed and implemented in the Virtual Environment for Reactor Applications Core Simulator (VERA-CS) to perform high-fidelity, pressurized water reactor (PWR), multicycle, core physics calculations. Depletion of the core with pin-resolved power and nuclide detail is a significant advance in the state of the art for reactor analysis, providing the level of detail necessary to address the problems of the U.S. Department of Energy Nuclear Reactor Simulation Hub, the Consortium for Advanced Simulation of Light Water Reactors (CASL). VERA-CS has three main components: the neutronics solver MPACT, the thermal-hydraulic (T-H) solver COBRA-TF (CTF), and the nuclide transmutation solver ORIGEN. This paper focuses on MPACT and provides an overview of the resonance self-shielding methods, macroscopic-cross-section calculation, two-dimensional/one-dimensional (2-D/1-D) transport, nuclide depletion, T-H feedback, and other supporting methods representing a minimal set of the capabilities needed to simulate high-fidelity models of a commercial nuclear reactor. Results are presented from the simulation of a model of the first cycle of Watts Bar Unit 1. The simulation is within 16 parts per million boron (ppmB) reactivity for all state points compared to cycle measurements, with an average reactivity bias of <5 ppmB for the entire cycle. Comparisons to cycle 1 flux map data are also provided, and the average 2-D root-mean-square (rms) error during cycle 1 is 1.07%. To demonstrate the multicycle capability, a state point at beginning of cycle (BOC) 2 was also simulated and compared to plant data. The comparison of the cycle 2 BOC state has a reactivity difference of +3 ppmB from measurement, and the 2-D rms of the comparison in the flux maps is 1.77%. These results provide confidence in VERA-CSs capability to perform high-fidelity calculations for practical PWR reactor problems.


Journal of Computational Physics | 2016

Hot zero power reactor calculations using the Insilico code

Steven P. Hamilton; Thomas M. Evans; Gregory G. Davidson; Seth R. Johnson; Tara M. Pandya; Andrew T. Godfrey

In this paper we describe the reactor physics simulation capabilities of the Insilico code. A description of the various capabilities of the code is provided, including detailed discussion of the geometry, meshing, cross section processing, and neutron transport options. Numerical results demonstrate that Insilico using an SPN solver with pin-homogenized cross section generation is capable of delivering highly accurate full-core simulation of various pressurized water reactor problems. Comparison to both Monte Carlo calculations and measured plant data is provided.


Nuclear Technology | 2014

A Neutronic Investigation of the Use of Fully Ceramic Microencapsulated Fuel for Pu/Np Burning in PWRs

Cole Gentry; Ivan Maldonado; Andrew T. Godfrey; Kurt A. Terrani; Jess C Gehin; Jeffrey J. Powers

Abstract An investigation of the utilization of TRistructural-ISOtropic (TRISO)-coated fuel particles for the burning of plutonium/neptunium (Pu/Np) isotopes in typical Westinghouse four-loop pressurized water reactors is presented. Though numerous studies have evaluated the burning of transuranic isotopes in light water reactors (LWRs), this work differentiates itself by employing Pu/Np-loaded TRISO particles embedded within a silicon carbide (SiC) matrix and formed into pellets, constituting the fully ceramic microencapsulated (FCM) fuel concept that can be loaded into standard LWR fuel element cladding. This approach provides the capability of Pu/Np burning and, by virtue of the multibarrier TRISO particle design and SiC matrix properties, will allow for greater burnup of Pu/Np material, plus improved fuel reliability and thermal performance. In this study, a variety of heterogeneous assembly layouts, which utilize a mix of FCM rods and typical UO2 rods, and core loading patterns were analyzed to demonstrate the neutronic feasibility of Pu/Np-loaded TRISO fuel. The assembly and core designs herein reported are not fully optimized and require fine-tuning to flatten power peaks; however, the progress achieved thus far strongly supports the conclusion that with further rod/assembly/core loading and placement optimization, Pu/Np-loaded TRISO fuel and core designs that are capable of balancing Pu/Np production and destruction can be designed within the standard constraints for thermal and reactivity performance in pressurized water reactors.


Archive | 2016

Development and Testing of CTF to Support Modeling of BWR Operating Conditions

Robert K. Salko; Aaron J. Wysocki; Benjamin Collins; Andrew T. Godfrey; Chris Gosdin; Maria Avramova

This milestone supports developing and assessing COBRA-TF (CTF) for the modeling of boiling water reactors (BWRs). This is achieved in three stages. First, a new preprocessor utility that is capable of handling BWR-specic design elements (e.g., channel boxes and large water rods) is developed. A previous milestone (L3:PHI.CTF.P12.01) led to the development of this preprocessor capability for single assembly models. This current milestone expands this utility so that it is applicable to multi-assembly BWR models that can be modeled in either serial or parallel. The second stage involves making necessary modications to CTF so that it can execute these new models. Specically, this means implementing an outer-iteration loop, specic to BWR models, that equalizes the pressure loss over all assemblies in the core (which are not connected due to the channel boxes) by adjusting inlet mass ow rate. A third stage involves assessing the standard convergence metrics that are used by CTF to determine when a simulation is steady-state. The nal stage has resulted in the implementation of new metrics in the code that give a better indication of how steady the solution is at convergence. This report summarizes these eorts and provides a demonstration of CTFs BWR-modeling capabilities. CASL-U-2016-1030-000


Journal of Computational Physics | 2016

Implementation, capabilities, and benchmarking of Shift, a massively parallel Monte Carlo radiation transport code

Tara M. Pandya; Seth R. Johnson; Thomas M. Evans; Gregory G. Davidson; Steven P. Hamilton; Andrew T. Godfrey


Physics of Reactors 2016: Unifying Theory and Experiments in the 21st Century, PHYSOR 2016 | 2016

VERA benchmarking results for watts bar nuclear plant unit 1 cycles 1-12

Andrew T. Godfrey; Benjamin Collins; Kang Seog Kim; Jeffrey J. Powers; Robert K. Salko; Shane Stimpson; William A. Wieselquist; Kevin T. Clarno; Jess C Gehin; Scott Palmtag; Robert Montgomery; Rosemary Montgomery; Daniel Jabaay; Brendan Kochunas; Thomas J. Downar; Nathan Capps; Jeffrey Robert Secker


Progress in Nuclear Energy | 2017

MC21/COBRA-IE and VERA-CS multiphysics solutions to VERA core physics benchmark problem #6

Brian N. Aviles; Daniel J. Kelly; David L. Aumiller; Daniel F. Gill; Brett W. Siebert; Andrew T. Godfrey; Benjamin Collins; Robert K. Salko

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Jess C Gehin

Oak Ridge National Laboratory

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Shane Stimpson

Oak Ridge National Laboratory

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Thomas M. Evans

Oak Ridge National Laboratory

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Kurt A. Terrani

Oak Ridge National Laboratory

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