Shutdown dose rate analysis with the Shift Monte Carlo radiation transport code and modular verification workflow

Jin Whan Bae; Bor Kos; Elliott Biondo

doi:10.1016/j.fusengdes.2023.113895

Shutdown dose rate analysis with the Shift Monte Carlo radiation transport code and modular verification workflow

Jin Whan Bae, Bor Kos, Elliott Biondo

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

1 Scopus citations

Abstract

Calculation of the shutdown dose rate is crucial for safe fusion reactor operations. The Rigorous-two-step (R2S) method is a method that requires connected neutron transport, activation, and gamma transport. Shift has integrated variance reduction with a deterministic solver Denovo, supports multiple geometry formats, and is scalable. These features make it an attractive transport solver choice for an R2S workflow. An R2S workflow for the Shift Monte Carlo code is developed and compared to the existing Oak Ridge National Laboratory Shutdown Dose Rate Code Suite (ORCS) workflow. Also, a Python framework for integrating two R2S workflows is developed to mix and match each step in the R2S workflow for improved collaboration and verification experience. Results show that the Shift-Denovo R2S workflow and the ORCS workflow calculate the shutdown dose rate of the ITER Shutdown Dose Rate benchmark problem with an average relative error of 2.285%.

Original language	English
Article number	113895
Journal	Fusion Engineering and Design
Volume	194
DOIs	https://doi.org/10.1016/j.fusengdes.2023.113895
State	Published - Sep 2023

Funding

Notice: This manuscript has been authored by UT-Battelle LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ). Jin Whan Bae and Elliott Biondo funded under contract ARPA-E GAMOW award DE-AR0001369 with the US Department of Energy . Bor Kos has received funding supported by the US Department of Energy (DOE), Office of Science, Office of Fusion Energy Sciences under the Collaboration to Benchmark Neutronics Simulation Computer Codes under the EURATOM-US DOE Agreement in the Field of Fusion Energy Research and Development. The authors also thank Kara Godsey and Katherine E. Royston for their technical review which also improved the paper.

Funders	Funder number
ARPA-E GAMOW	DE-AR0001369
Collaboration to Benchmark Neutronics Simulation Computer Codes
Fusion Energy Research and Development
U.S. Department of Energy
Office of Science
Fusion Energy Sciences
UT-Battelle	DE-AC05-00OR22725

Keywords

ITER
MCNP
ORIGEN
R2S
SDDR
Shift
Shutdown dose rate analysis

UN SDGs

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

Access to Document

10.1016/j.fusengdes.2023.113895

Cite this

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title = "Shutdown dose rate analysis with the Shift Monte Carlo radiation transport code and modular verification workflow",

abstract = "Calculation of the shutdown dose rate is crucial for safe fusion reactor operations. The Rigorous-two-step (R2S) method is a method that requires connected neutron transport, activation, and gamma transport. Shift has integrated variance reduction with a deterministic solver Denovo, supports multiple geometry formats, and is scalable. These features make it an attractive transport solver choice for an R2S workflow. An R2S workflow for the Shift Monte Carlo code is developed and compared to the existing Oak Ridge National Laboratory Shutdown Dose Rate Code Suite (ORCS) workflow. Also, a Python framework for integrating two R2S workflows is developed to mix and match each step in the R2S workflow for improved collaboration and verification experience. Results show that the Shift-Denovo R2S workflow and the ORCS workflow calculate the shutdown dose rate of the ITER Shutdown Dose Rate benchmark problem with an average relative error of 2.285%.",

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N2 - Calculation of the shutdown dose rate is crucial for safe fusion reactor operations. The Rigorous-two-step (R2S) method is a method that requires connected neutron transport, activation, and gamma transport. Shift has integrated variance reduction with a deterministic solver Denovo, supports multiple geometry formats, and is scalable. These features make it an attractive transport solver choice for an R2S workflow. An R2S workflow for the Shift Monte Carlo code is developed and compared to the existing Oak Ridge National Laboratory Shutdown Dose Rate Code Suite (ORCS) workflow. Also, a Python framework for integrating two R2S workflows is developed to mix and match each step in the R2S workflow for improved collaboration and verification experience. Results show that the Shift-Denovo R2S workflow and the ORCS workflow calculate the shutdown dose rate of the ITER Shutdown Dose Rate benchmark problem with an average relative error of 2.285%.

AB - Calculation of the shutdown dose rate is crucial for safe fusion reactor operations. The Rigorous-two-step (R2S) method is a method that requires connected neutron transport, activation, and gamma transport. Shift has integrated variance reduction with a deterministic solver Denovo, supports multiple geometry formats, and is scalable. These features make it an attractive transport solver choice for an R2S workflow. An R2S workflow for the Shift Monte Carlo code is developed and compared to the existing Oak Ridge National Laboratory Shutdown Dose Rate Code Suite (ORCS) workflow. Also, a Python framework for integrating two R2S workflows is developed to mix and match each step in the R2S workflow for improved collaboration and verification experience. Results show that the Shift-Denovo R2S workflow and the ORCS workflow calculate the shutdown dose rate of the ITER Shutdown Dose Rate benchmark problem with an average relative error of 2.285%.

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Shutdown dose rate analysis with the Shift Monte Carlo radiation transport code and modular verification workflow

Abstract

Funding

Keywords

UN SDGs

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