Transmutation Approximations for the Application of Hybrid Monte Carlo/Deterministic Neutron Transport to Shutdown Dose Rate Analysis

Biondo, Elliott; Wilson, Paul P. H.

doi:10.1080/00295639.2016.1275848

Cited by 7 publications

(2 citation statements)

References 1 publication

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“…This time, the activation step was performed considering the same assumptions as D1S [3] in this step (i.e. single neutron interaction and low burn-up (SNILB) conditions [25]). In addition, the activation only considered those reactions considered in the D1S simulation (table 2).…”

Section: The Discrepancy In the Level Of The Photon Fluxmentioning

confidence: 99%

Analysis of discrepancies between D1S and R2S results of 2016 DD JET Campaign

Alguacil¹,

Catalán²,

Sauvan³

et al. 2022

Nucl. Fusion

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In the frame of the WPJET3-DT Technology project within the EUROfusion Consortium program, neutronics experiments are being carried out in preparation for the current deuterium–tritium campaign on JET (DTE2). The experiments are conducted to validate the neutronics codes and tools used in ITER, thus reducing the related uncertainties and the associated risks in the machine operation. Recently, the shutdown dose rate (SDR) results of the 2016 DD campaign have been analyzed using the D1S and R2S computational methodologies showing relevant differences between the results provided by both methods. The greatest discrepancies, found in the SDR calculated in the second octant at 6 h after shutdown, are a factor 2 of difference in the total decay photon flux and a different peak location close to 0.511 MeV. This article presents a detailed analysis of the D1S and R2S simulations performed to find the causes of these discrepancies. The conclusions of the analysis determine that the use of the typical neutron and gamma energy structures used in common R2S simulations can tend to a photon flux significant overestimation or a shift in the output spectrum, respectively. In addition to alerting about this important problem in R2S calculations, this article also proposes a solution to mitigate each effect that can be implemented in R2S codes. The application of the proposed solutions significantly reduces the differences between the photon spectrum calculated with D1S and R2S methods.

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Section: The Discrepancy In the Level Of The Photon Fluxmentioning

confidence: 99%

Analysis of discrepancies between D1S and R2S results of 2016 DD JET Campaign

Alguacil¹,

Catalán²,

Sauvan³

et al. 2022

Nucl. Fusion

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show abstract

“…All these validated mesh-based R2S implementations, with unique features, advantages and disadvantages, are reliable methods for calculating the SDR. For example, PyNE R2S can reduce the modeling efforts to calculate the SDR for fusion systems due to its ability to perform SDR analysis directly on CAD geometry with Cartesian or tetrahedral meshes and support advanced variance reduction [10,13]. PyNE R2S supports multiple Direct Accelerated Geometry Monte Carlo (DAGMC) embedded Monte Carlo particle transport codes, such as DAG-OpenMC [11] and DAG-MCNP5 [10], with not much modification to the source code except for the subroutine for photon source sampling.…”

Section: Introductionmentioning

confidence: 99%

Implementation and application of PyNE sub-voxel R2S for shutdown dose rate analysis

Zhang¹,

Shriwise²,

Liu³

et al. 2022

Plasma Sci. Technol.

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PyNE R2S is one of the mesh-based R2S implementations with the capability of performing shutdown dose rate (SDR) analysis directly on CAD geometry with Cartesian or tetrahedral meshes and supports advanced variance reduction for fusion energy systems. However, the assumption of homogenized materials of PyNE R2S with Cartesian mesh throughout a mesh voxel introduces an approximation in the case where a voxel covers multiple non-void cells. This work implements a sub-voxel method to add fidelity to PyNE R2S with Cartesian mesh during the process of activation and photon source sampling by performing independent inventory calculations for each cell within a mesh voxel, and using the results of those independent calculations to sample the photon source more precisely. The PyNE sub-voxel R2S has been verified with the Frascati Neutron Generator (FNG)-ITER and ITER computational shutdown dose rate benchmark problems. The results of the sub-voxel R2S show a satisfactory agreement with the experimental values or reference results. The PyNE sub-voxel R2S has been applied to the shutdown dose rate calculation of the Chinese Fusion Engineering Testing Reactor (CFETR). In conclusion, the sub-voxel R2S is a reliable tool for shutdown dose rate calculation and obtains more accurate results with the same voxel size than voxel R2S.

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Hybrid Monte Carlo approach for accurate and efficient shutdown dose rate calculation

Fischer

Pereslavtsev

et al. 2018

Fusion Engineering and Design

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Transmutation Approximations for the Application of Hybrid Monte Carlo/Deterministic Neutron Transport to Shutdown Dose Rate Analysis

Cited by 7 publications

References 1 publication

Analysis of discrepancies between D1S and R2S results of 2016 DD JET Campaign

Analysis of discrepancies between D1S and R2S results of 2016 DD JET Campaign

Implementation and application of PyNE sub-voxel R2S for shutdown dose rate analysis

Hybrid Monte Carlo approach for accurate and efficient shutdown dose rate calculation

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