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

and JET Contributors

doi:10.1080/15361055.2018.1504508

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

and JET Contributors

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

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. Results were compared against experiment as well as the MCNP and Shift Monte Carlo codes.

Original language	English
Pages (from-to)	303-314
Number of pages	12
Journal	Fusion Science and Technology
Volume	74
Issue number	4
DOIs	https://doi.org/10.1080/15361055.2018.1504508
State	Published - Nov 17 2018

Funding

*E-mail: [email protected] †See the author list of X. Litaudon et al., Nucl. Fusion, 57, 102001 (2017). This material is published by permission of the UT-Battelle, LLC, for the US Department of Energy (DOE) under Contract No. DE-AC05-00OR22725. The US Government retains for itself, and others acting on its behalf, a paid-up, non-exclusive, and irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly, by or on behalf of the Government. This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014–2018 under grant agreement number 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission. This research used resources of the OLCF at the ORNL, which is supported by the Office of Science of the U.S. Department of Energy (DOE) under contract number DE-AC05-00OR22725. This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014?2018 under grant agreement number 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission. The authors would like to express their thanks to Charles Daily of the Reactor and Nuclear Systems Division of ORNL for generating the multigroup cross-section libraries used in this work. This research used resources of the OLCF at the ORNL, which is supported by the Office of Science of the U.S. Department of Energy (DOE) under contract number DE-AC05-00OR22725.

Funders	Funder number
Euratom research and training programme 2014–2018
US Department of Energy
U.S. Department of Energy	DE-AC05-00OR22725
Office of Science
Oak Ridge National Laboratory
Horizon 2020 Framework Programme	633053
H2020 Euratom

Keywords

Fusion energy
ITER
JET
discrete ordinates
radiation transport

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/15361055.2018.1504508

Cite this

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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{\textquoteright}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. Results were compared against experiment as well as the MCNP and Shift Monte Carlo codes.",

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AB - 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. Results were compared against experiment as well as the MCNP and Shift Monte Carlo codes.

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

Abstract

Funding

Keywords

UN SDGs

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