Nuclide Depletion Capabilities in the Shift Monte Carlo Code

Davidson, Gregory G.; Pandya, Tara M.; Johnson, Seth R.; Evans, Thomas M.; Isotalo, Aarno E.; Gentry, Cole A.; Wieselquist, William A.

doi:10.1016/j.anucene.2017.11.042

Title: Nuclide Depletion Capabilities in the Shift Monte Carlo Code

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Abstract

A new depletion capability has been developed in the Exnihilo radiation transport code suite. This capability enables massively parallel domain-decomposed coupling between the Shift continuous-energy Monte Carlo solver and the nuclide depletion solvers in ORIGEN to perform high-performance Monte Carlo depletion calculations. This paper describes this new depletion capability and discusses its various features, including a multi-level parallel decomposition, high-order transport-depletion coupling, and energy-integrated power renormalization. Several test problems are presented to validate the new capability against other Monte Carlo depletion codes, and the parallel performance of the new capability is analyzed.

Authors:

^[1];

^[1]; Isotalo, Aarno E. ^[2];

^[1];

^[1]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Aalto Univ., Otaniemi (Finland)

Publication Date:: 2017-12-21

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

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

OSTI Identifier:: 1429205

Alternate Identifier(s):: OSTI ID: 1549012

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Accepted Manuscript

Journal Name:: Annals of Nuclear Energy (Oxford)

Additional Journal Information:: Journal Name: Annals of Nuclear Energy (Oxford); Journal Volume: 114; Journal ID: ISSN 0306-4549

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; 97 MATHEMATICS AND COMPUTING; Monte Carlo; burnup; parallel scaling; transport-depletion coupling

Citation Formats


                    Davidson, Gregory G., Pandya, Tara M., Johnson, Seth R., Evans, Thomas M., Isotalo, Aarno E., Gentry, Cole A., and Wieselquist, William A.. Nuclide Depletion Capabilities in the Shift Monte Carlo Code.  United States: N. p., 2017. 
Web.  doi:10.1016/j.anucene.2017.11.042.

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                    Davidson, Gregory G., Pandya, Tara M., Johnson, Seth R., Evans, Thomas M., Isotalo, Aarno E., Gentry, Cole A., & Wieselquist, William A.. Nuclide Depletion Capabilities in the Shift Monte Carlo Code.  United States.  https://doi.org/10.1016/j.anucene.2017.11.042

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                    Davidson, Gregory G., Pandya, Tara M., Johnson, Seth R., Evans, Thomas M., Isotalo, Aarno E., Gentry, Cole A., and Wieselquist, William A.. Thu .  
"Nuclide Depletion Capabilities in the Shift Monte Carlo Code".  United States.  https://doi.org/10.1016/j.anucene.2017.11.042.  https://www.osti.gov/servlets/purl/1429205.

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@article{osti_1429205,

  title        = {Nuclide Depletion Capabilities in the Shift Monte Carlo Code},

  author       = {Davidson, Gregory G. and Pandya, Tara M. and Johnson, Seth R. and Evans, Thomas M. and Isotalo, Aarno E. and Gentry, Cole A. and Wieselquist, William A.},

  abstractNote = {A new depletion capability has been developed in the Exnihilo radiation transport code suite. This capability enables massively parallel domain-decomposed coupling between the Shift continuous-energy Monte Carlo solver and the nuclide depletion solvers in ORIGEN to perform high-performance Monte Carlo depletion calculations. This paper describes this new depletion capability and discusses its various features, including a multi-level parallel decomposition, high-order transport-depletion coupling, and energy-integrated power renormalization. Several test problems are presented to validate the new capability against other Monte Carlo depletion codes, and the parallel performance of the new capability is analyzed.},

  doi          = {10.1016/j.anucene.2017.11.042},

  journal      = {Annals of Nuclear Energy (Oxford)},

  number       = ,

  volume       = 114,

  place        = {United States},

  year         = {2017},

  month        = {12}

}

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