Impact of temperature variations on BISON predictions of Ag release in AGR-1 and AGR-2 experiments

Parsons, Caitlyn B.; Simon, Pierre-Clément A.; Wirth, Brian D.

doi:10.1016/j.jnucmat.2024.155139

Impact of temperature variations on BISON predictions of Ag release in AGR-1 and AGR-2 experiments

Journal Article · Mon May 06 00:00:00 EDT 2024 · Journal of Nuclear Materials

DOI:https://doi.org/10.1016/j.jnucmat.2024.155139· OSTI ID:2370475

Parsons, Caitlyn B. ^[1]; ^[2]; Wirth, Brian D. ^[3]

University of Tennessee, Knoxville, TN (United States)
Idaho National Laboratory (INL), Idaho Falls, ID (United States)
University of Tennessee, Knoxville, TN (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Understanding and quantifying the release of fission products like silver (Ag) from TRistructural ISOtropic (TRISO) fuel particles is important to assess the safe operation of advanced high temperature reactors. Although the silicon carbide (SiC) layer of TRISO particles is effective as the main fission product barrier, Ag can be released from intact TRISO particles. A mechanistic model for the effective Ag diffusivity, D^eff , was previously developed as a function of temperature and microstructure variables informed by atomistic modeling of Ag diffusivity on the mesoscale. Here in this study, we use this model to explore how experimental temperature uncertainties impact the overall predicted Ag release. This analysis shows that temperature uncertainties have a significant impact on the overall Ag release predictions. Furthermore, we show that the time average volume average temperature (TAVA) temperature is not an appropriate proxy for temperature histories to predict fission product release. We attribute this to the Arrhenius dependence of Ag diffusivity with respect to temperature. The detailed temperature histories, therefore, provide the most accurate results are are of most importance for modeling efforts. Overall, this work shows the importance of considering the experimental uncertainty of the temperature on computational predictions of fission product transport and release and the need for more accurate temperature histories from future experiments.

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This content will become publicly available on Tue May 06 00:00:00 EDT 2025

Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Nuclear Energy (NE), Nuclear Energy Advanced Modeling and Simulation (NEAMS); USDOE Office of Nuclear Energy (NE), Nuclear Energy University Program (NEUP); USDOE Office of Nuclear Energy (NE)

Grant/Contract Number:: AC07-05ID14517; NE0008998.

OSTI ID:: 2370475

Alternate ID(s):: OSTI ID: 2349391

Report Number(s):: INL/JOU-23-75968-Revision-0; TRN: US2500222

Journal Information:: Journal of Nuclear Materials, Vol. 598, Issue -; ISSN 0022-3115

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (10)

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Systematic sensitivity analysis of Ag release from TRISO particle during AGR-1 irradiation test and high temperature annealing safety test Seo, Seok Bin; Brown, Nicholas R.; Pastore, Giovanni Journal of Nuclear Materials, Vol. 558 https://doi.org/10.1016/j.jnucmat.2021.153346	journal	January 2022
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Mechanistic calculation of the effective silver diffusion coefficient in polycrystalline silicon carbide: Application to silver release in AGR-1 TRISO particles Simon, P. -C. A.; Aagesen, Larry K.; Jiang, Chao Journal of Nuclear Materials, Vol. 563 https://doi.org/10.1016/j.jnucmat.2022.153669	journal	May 2022
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