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

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.

Copy to clipboard


                    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.  doi:https://doi.org/10.1080/15361055.2018.1504508

Copy to clipboard


                    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.  doi:https://doi.org/10.1080/15361055.2018.1504508.  https://www.osti.gov/servlets/purl/1481706.

Copy to clipboard


                    
@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}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (DOE)

Publisher's Version of Record

DOI: https://doi.org/10.1080/15361055.2018.1504508

Other availability

Search WorldCat to find libraries that may hold this journal

Save / Share:

Export Metadata

Save to My Library

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
journal, March 2016

Pandya, Tara M.; Johnson, Seth R.; Evans, Thomas M.
Journal of Computational Physics, Vol. 308
DOI: 10.1016/j.jcp.2015.12.037

Global Evaluation of Prompt Dose Rates in ITER Using Hybrid Monte Carlo/Deterministic Techniques
journal, August 2011

Ibrahim, A. M.; Sawan, M. E.; Mosher, S. W.
Fusion Science and Technology, Vol. 60, Issue 2
DOI: 10.13182/FST11-A12462

Angular Quadratures for Improved Transport Computations
journal, June 2001

Abu-Shumays, I. K.
Transport Theory and Statistical Physics, Vol. 30, Issue 2-3
DOI: 10.1081/TT-100105367

Benchmark experiments on neutron streaming through JET Torus Hall penetrations
journal, April 2015

Batistoni, P.; Conroy, S.; Lilley, S.
Nuclear Fusion, Vol. 55, Issue 5
DOI: 10.1088/0029-5515/55/5/053028

The JET technology program in support of ITER
journal, October 2014

Batistoni, P.; Likonen, J.; Bekris, N.
Fusion Engineering and Design, Vol. 89, Issue 7-8
DOI: 10.1016/j.fusengdes.2013.12.050

Denovo: A New Three-Dimensional Parallel Discrete Ordinates Code in SCALE
journal, August 2010

Evans, Thomas M.; Stafford, Alissa S.; Slaybaugh, Rachel N.
Nuclear Technology, Vol. 171, Issue 2
DOI: 10.13182/NT171-171

ITER Neutronics Modeling Using Hybrid Monte Carlo/Deterministic and CAD-Based Monte Carlo Methods
journal, July 2011

Ibrahim, Ahmad M.; Mosher, Scott W.; Evans, Thomas M.
Nuclear Technology, Vol. 175, Issue 1
DOI: 10.13182/NT175-251

An Algorithm for Parallel S _n Sweeps on Unstructured Meshes
journal, February 2002

Pautz, Shawn D.
Nuclear Science and Engineering, Vol. 140, Issue 2
DOI: 10.13182/NSE02-1

Krylov Iterative Methods and the Degraded Effectiveness of Diffusion Synthetic Acceleration for Multidimensional S _N Calculations in Problems with Material Discontinuities
journal, July 2004

Warsa, James S.; Wareing, Todd A.; Morel, Jim E.
Nuclear Science and Engineering, Vol. 147, Issue 3
DOI: 10.13182/NSE02-14

Multigrid in energy preconditioner for Krylov solvers
journal, June 2013

Slaybaugh, R. N.; Evans, T. M.; Davidson, G. G.
Journal of Computational Physics, Vol. 242
DOI: 10.1016/j.jcp.2013.02.012

ENDF/B-VII.0: Next Generation Evaluated Nuclear Data Library for Nuclear Science and Technology
journal, December 2006

Chadwick, M. B.; Obložinský, P.; Herman, M.
Nuclear Data Sheets, Vol. 107, Issue 12
DOI: 10.1016/j.nds.2006.11.001

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

Similar Records in DOE PAGES and OSTI.GOV collections:

C5 Benchmark Problem with Discrete Ordinate Radiation Transport Code DENOVO

Journal Article Yesilyurt, Gokhan ; Clarno, Kevin T ; Evans, Thomas M ; ... - Nuclear Technology

The C5 benchmark problem proposed by the Organisation for Economic Co-operation and Development/Nuclear Energy Agency was modeled to examine the capabilities of Denovo, a three-dimensional (3-D) parallel discrete ordinates (S{sub N}) radiation transport code, for problems with no spatial homogenization. Denovo uses state-of-the-art numerical methods to obtain accurate solutions to the Boltzmann transport equation. Problems were run in parallel on Jaguar, a high-performance supercomputer located at Oak Ridge National Laboratory. Both the two-dimensional (2-D) and 3-D configurations were analyzed, and the results were compared with the reference MCNP Monte Carlo calculations. For an additional comparison, SCALE/KENO-V.a Monte Carlo solutions weremore »« less
Full Text Available
Denovo--A New Three-Dimensional Parallel Discrete Ordinates Code in SCALE

Journal Article Evans, Thomas M ; Stafford, Alissa ; Clarno, Kevin T - Nuclear Technology

Denovo is a new, three-dimensional, discrete ordinates (SN) transport code that uses state-of-the-art solution methods to obtain accurate solutions to the Boltzmann transport equation. Denovo uses the Koch-Baker-Alcouffe parallel sweep algorithm to obtain high parallel efficiency on O(100) processors on XYZ orthogonal meshes. As opposed to traditional SN codes that use source iteration, Denovo uses nonstationary Krylov methods to solve the within-group equations. Krylov methods are far more efficient than stationary schemes. Additionally, classic acceleration schemes (diffusion synthetic acceleration) do not suffer stability problems when used as a preconditioner to a Krylov solver. Denovo's generic programming framework allows multiple spatialmore »« less
Many-Core Acceleration of a Discrete Ordinates Transport Mini-App at Extreme Scale, In: ISC High Performance 2016: High Performance Computing

Conference Deakin, Tom ; McIntosh-Smith, Simon ; Gaudin, Wayne - HIGH PERFORMANCE COMPUTING

Time-dependent deterministic discrete ordinates transport codes are an important class of application which provide significant challenges for large, many-core systems. One such challenge is the large memory capacity needed by the solve step, which requires us to have a scalable solution in order to have enough node-level memory to store all the data. In our previous work, we demonstrated the first implementation which showed a significant performance benefit for single node solves using GPUs. In this paper we extend our work to large problems and demonstrate the scalability of our solution on two Petascale GPU-based supercomputers: Titan at Oak Ridgemore »« less
DOI: https://doi.org/10.1007/978-3-319-41321-1_22
Review of Hybrid (Deterministic/Monte Carlo) Radiation Transport Methods, Codes, and Applications at Oak Ridge National Laboratory

Conference Wagner, John C ; Peplow, Douglas E. ; Mosher, Scott W ; ...

This paper provides a review of the hybrid (Monte Carlo/deterministic) radiation transport methods and codes used at the Oak Ridge National Laboratory and examples of their application for increasing the efficiency of real-world, fixed-source Monte Carlo analyses. The two principal hybrid methods are (1) Consistent Adjoint Driven Importance Sampling (CADIS) for optimization of a localized detector (tally) region (e.g., flux, dose, or reaction rate at a particular location) and (2) Forward Weighted CADIS (FW-CADIS) for optimizing distributions (e.g., mesh tallies over all or part of the problem space) or multiple localized detector regions (e.g., simultaneous optimization of two or moremore »« less
Review of Hybrid (Deterministic/Monte Carlo) Radiation Transport Methods, Codes, and Applications at Oak Ridge National Laboratory

Journal Article Wagner, John C ; Peplow, Douglas E. ; Mosher, Scott W ; ... - Progress in Nuclear Science and Technology

This paper provides a review of the hybrid (Monte Carlo/deterministic) radiation transport methods and codes used at the Oak Ridge National Laboratory and examples of their application for increasing the efficiency of real-world, fixed-source Monte Carlo analyses. The two principal hybrid methods are (1) Consistent Adjoint Driven Importance Sampling (CADIS) for optimization of a localized detector (tally) region (e.g., flux, dose, or reaction rate at a particular location) and (2) Forward Weighted CADIS (FW-CADIS) for optimizing distributions (e.g., mesh tallies over all or part of the problem space) or multiple localized detector regions (e.g., simultaneous optimization of two or moremore »« less
DOI: https://doi.org/10.15669/pnst.2.808

Similar Records

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

Abstract

Citation Formats

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

Implementation, capabilities, and benchmarking of Shift, a massively parallel Monte Carlo radiation transport code journal, March 2016

Global Evaluation of Prompt Dose Rates in ITER Using Hybrid Monte Carlo/Deterministic Techniques journal, August 2011

Angular Quadratures for Improved Transport Computations journal, June 2001

Benchmark experiments on neutron streaming through JET Torus Hall penetrations journal, April 2015

The JET technology program in support of ITER journal, October 2014

Denovo: A New Three-Dimensional Parallel Discrete Ordinates Code in SCALE journal, August 2010

ITER Neutronics Modeling Using Hybrid Monte Carlo/Deterministic and CAD-Based Monte Carlo Methods journal, July 2011

An Algorithm for Parallel S n Sweeps on Unstructured Meshes journal, February 2002

Krylov Iterative Methods and the Degraded Effectiveness of Diffusion Synthetic Acceleration for Multidimensional S N Calculations in Problems with Material Discontinuities journal, July 2004

Multigrid in energy preconditioner for Krylov solvers journal, June 2013

ENDF/B-VII.0: Next Generation Evaluated Nuclear Data Library for Nuclear Science and Technology journal, December 2006

Massively Parallel, Three-Dimensional Transport Solutions for the k -Eigenvalue Problem journal, June 2014

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

Implementation, capabilities, and benchmarking of Shift, a massively parallel Monte Carlo radiation transport code
journal, March 2016

Global Evaluation of Prompt Dose Rates in ITER Using Hybrid Monte Carlo/Deterministic Techniques
journal, August 2011

Angular Quadratures for Improved Transport Computations
journal, June 2001

Benchmark experiments on neutron streaming through JET Torus Hall penetrations
journal, April 2015

The JET technology program in support of ITER
journal, October 2014

Denovo: A New Three-Dimensional Parallel Discrete Ordinates Code in SCALE
journal, August 2010

ITER Neutronics Modeling Using Hybrid Monte Carlo/Deterministic and CAD-Based Monte Carlo Methods
journal, July 2011

An Algorithm for Parallel S _n Sweeps on Unstructured Meshes
journal, February 2002

Krylov Iterative Methods and the Degraded Effectiveness of Diffusion Synthetic Acceleration for Multidimensional S _N Calculations in Problems with Material Discontinuities
journal, July 2004

Multigrid in energy preconditioner for Krylov solvers
journal, June 2013

ENDF/B-VII.0: Next Generation Evaluated Nuclear Data Library for Nuclear Science and Technology
journal, December 2006

Massively Parallel, Three-Dimensional Transport Solutions for the k -Eigenvalue Problem
journal, June 2014