Assessment of BISON capabilities for component-level prediction of tritium transport in fusion and fission applications

O'Neal, Miles; Seo, Seok Bin; Maldonado, G. Ivan; Brown, Nicholas R.

doi:10.1016/j.fusengdes.2021.112996

Title: Assessment of BISON capabilities for component-level prediction of tritium transport in fusion and fission applications

Journal Article · 05 January 2022 · Fusion Engineering and Design

DOI: https://doi.org/10.1016/j.fusengdes.2021.112996 · OSTI ID:1981620

O'Neal, Miles ^[1]; Seo, Seok Bin ^[1]; Maldonado, G. Ivan ^[1]; Brown, Nicholas R. ^[1]

Univ. of Tennessee, Knoxville, TN (United States)

Here we assessed the hydrogen migration and redistribution model implemented in the BISON fuel performance code for component-level tritium transport applications in fusion and fission example scenarios. We developed BISON models of an ITER heat exchanger, light water reactor fuel cladding, and a fluoride salt cooled high temperature reactor heat exchanger. Reasonable agreement between reported values in reference studies and BISON predictions demonstrated the ability of the BISON models to predict tritium transport behavior through steel materials. Next, sensitivity and uncertainty analysis was used to understand key parameter sensitivities within the BISON model for evaluation of tritium migration and redistribution. . The sensitivity analysis showed that the diffusivity activation energy was the most important parameter and that the heat of transport was the least important parameter for tritium migration in steels. Overall, the capabilities of the BISON code for component level modeling of tritium transport are promising.

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Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States). Nuclear Science User Facility (NSUF)

Sponsoring Organization:: USDOE Office of Science (SC), Fusion Energy Sciences (FES)

Grant/Contract Number:: AC07-05ID14517; AC05-00OR22725

OSTI ID:: 1981620

Journal Information:: Fusion Engineering and Design, Journal Name: Fusion Engineering and Design Journal Issue: C Vol. 175; ISSN 0920-3796

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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70 PLASMA PHYSICS AND FUSION TECHNOLOGY
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Title: Assessment of BISON capabilities for component-level prediction of tritium transport in fusion and fission applications

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