Application of the Denovo Discrete Ordinates Radiation Transport Code to Large-Scale Fusion Neutronics

Royston, Katherine E.; Johnson, Seth R.; Evans, Thomas M.; Mosher, Scott W.; Naish, Jonathan; Kos, Bor

doi:10.1080/15361055.2018.1504508

Title: Application of the Denovo Discrete Ordinates Radiation Transport Code to Large-Scale Fusion Neutronics

Abstract

Fusion energy systems pose unique challenges to the modeling and simulation community. These challenges must be met to ensure the success of the ITER experimental fusion reactor. ITER’s complex systems require detailed modeling that goes beyond the scale of comparable simulations to date. In this work, the Denovo radiation transport code was used to calculate neutron fluence and kerma for the JET streaming benchmark. This work was performed on the Titan supercomputer at the Oak Ridge Leadership Computing Facility. Denovo is a novel three-dimensional discrete ordinates transport code designed to be highly scalable. Sensitivity studies have been completed to examine the impact of several deterministic parameters. Furthermore, results were compared against experiment as well as the MCNP and Shift Monte Carlo codes.

Authors:

^[1];

^[1]; Naish, Jonathan ^[2]; Kos, Bor ^[3]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Culham Centre for Fusion Energy, Oxon (United Kingdom)
Jozef Stefan Institute, Ljubljana (Slovenia)

Publication Date:: 2018-10-01

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)

Sponsoring Org.:: USDOE Office of Science (SC)

OSTI Identifier:: 1481706

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Accepted Manuscript

Journal Name:: Fusion Science and Technology

Additional Journal Information:: Journal Volume: 74; Journal Issue: 4; Journal ID: ISSN 1536-1055

Publisher:: American Nuclear Society

Country of Publication:: United States

Language:: English

Subject:: 70 PLASMA PHYSICS AND FUSION TECHNOLOGY; fusion energy; JET; ITER; radiation transport; discrete ordinates

Citation Formats


                    Royston, Katherine E., Johnson, Seth R., Evans, Thomas M., Mosher, Scott W., Naish, Jonathan, and Kos, Bor. Application of the Denovo Discrete Ordinates Radiation Transport Code to Large-Scale Fusion Neutronics.  United States: N. p., 2018. 
Web.  doi:10.1080/15361055.2018.1504508.

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                    Royston, Katherine E., Johnson, Seth R., Evans, Thomas M., Mosher, Scott W., Naish, Jonathan, & Kos, Bor. Application of the Denovo Discrete Ordinates Radiation Transport Code to Large-Scale Fusion Neutronics.  United States.  https://doi.org/10.1080/15361055.2018.1504508

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                    Royston, Katherine E., Johnson, Seth R., Evans, Thomas M., Mosher, Scott W., Naish, Jonathan, and Kos, Bor. Mon .  
"Application of the Denovo Discrete Ordinates Radiation Transport Code to Large-Scale Fusion Neutronics".  United States.  https://doi.org/10.1080/15361055.2018.1504508.  https://www.osti.gov/servlets/purl/1481706.

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@article{osti_1481706,

  title        = {Application of the Denovo Discrete Ordinates Radiation Transport Code to Large-Scale Fusion Neutronics},

  author       = {Royston, Katherine E. and Johnson, Seth R. and Evans, Thomas M. and Mosher, Scott W. and Naish, Jonathan and Kos, Bor},

  abstractNote = {Fusion energy systems pose unique challenges to the modeling and simulation community. These challenges must be met to ensure the success of the ITER experimental fusion reactor. ITER’s complex systems require detailed modeling that goes beyond the scale of comparable simulations to date. In this work, the Denovo radiation transport code was used to calculate neutron fluence and kerma for the JET streaming benchmark. This work was performed on the Titan supercomputer at the Oak Ridge Leadership Computing Facility. Denovo is a novel three-dimensional discrete ordinates transport code designed to be highly scalable. Sensitivity studies have been completed to examine the impact of several deterministic parameters. Furthermore, results were compared against experiment as well as the MCNP and Shift Monte Carlo codes.},

  doi          = {10.1080/15361055.2018.1504508},

  journal      = {Fusion Science and Technology},

  number       = 4,

  volume       = 74,

  place        = {United States},

  year         = {2018},

  month        = {10}

}

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Works referenced in this record:

Full Core Reactor Analysis: Running Denovo on Jaguar
journal, November 2013

Jarrell, Joshua J.; Evans, Thomas M.; Davidson, Gregory G.
Nuclear Science and Engineering, Vol. 175, Issue 3
DOI: 10.13182/NSE12-60

Implementation, capabilities, and benchmarking of Shift, a massively parallel Monte Carlo radiation transport code
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Pandya, Tara M.; Johnson, Seth R.; Evans, Thomas M.
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Global Evaluation of Prompt Dose Rates in ITER Using Hybrid Monte Carlo/Deterministic Techniques
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Ibrahim, A. M.; Sawan, M. E.; Mosher, S. W.
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Angular Quadratures for Improved Transport Computations
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Abu-Shumays, I. K.
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Batistoni, P.; Conroy, S.; Lilley, S.
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The JET technology program in support of ITER
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Batistoni, P.; Likonen, J.; Bekris, N.
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journal, August 2010

Evans, Thomas M.; Stafford, Alissa S.; Slaybaugh, Rachel N.
Nuclear Technology, Vol. 171, Issue 2
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ITER Neutronics Modeling Using Hybrid Monte Carlo/Deterministic and CAD-Based Monte Carlo Methods
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Ibrahim, Ahmad M.; Mosher, Scott W.; Evans, Thomas M.
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An Algorithm for Parallel S _n Sweeps on Unstructured Meshes
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Pautz, Shawn D.
Nuclear Science and Engineering, Vol. 140, Issue 2
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Krylov Iterative Methods and the Degraded Effectiveness of Diffusion Synthetic Acceleration for Multidimensional S _N Calculations in Problems with Material Discontinuities
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Warsa, James S.; Wareing, Todd A.; Morel, Jim E.
Nuclear Science and Engineering, Vol. 147, Issue 3
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Multigrid in energy preconditioner for Krylov solvers
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Slaybaugh, R. N.; Evans, T. M.; Davidson, G. G.
Journal of Computational Physics, Vol. 242
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ENDF/B-VII.0: Next Generation Evaluated Nuclear Data Library for Nuclear Science and Technology
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Chadwick, M. B.; Obložinský, P.; Herman, M.
Nuclear Data Sheets, Vol. 107, Issue 12
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Massively Parallel, Three-Dimensional Transport Solutions for the k -Eigenvalue Problem
journal, June 2014

Davidson, Gregory G.; Evans, Thomas M.; Jarrell, Joshua J.
Nuclear Science and Engineering, Vol. 177, Issue 2
DOI: 10.13182/NSE12-101

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Title: Application of the Denovo Discrete Ordinates Radiation Transport Code to Large-Scale Fusion Neutronics

Abstract

Citation Formats

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Angular Quadratures for Improved Transport Computations
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