Issue |
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
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Article Number | 12003 | |
Number of page(s) | 10 | |
Section | Time-Dependent Problems | |
DOI | https://doi.org/10.1051/epjconf/202430212003 | |
Published online | 15 October 2024 |
https://doi.org/10.1051/epjconf/202430212003
Time discretization sensitivity analysis for a rod ejection transient scenario in a generic SMR concept using Serpent/SUBCHANFLOW
Karlsruhe Institute of Technology, Institute for Neutron Physics and Reactor Technology, 76344 Eggenstein-Leopoldshafen, Germany
* Corresponding author: gianfranco.zavala@kit.edu
Published online: 15 October 2024
This paper analyses a control rod ejection transient scenario in a generic SMR concept using the multi-physics coupling tool which includes the Monte Carlo Serpent code (developed at VTT, Finland) and the subchannel thermal-hydraulic code SUBCHANFLOW (developed at KIT, Germany). A Hot Zero Power state (HZP at 330 W) is considered for the initial condition. A control rod assembly located in the peripheral part of the core is ejected in 0.05 s, inserting a reactivity of ~1.4$ into the system and producing a fast excursion of the power in an asymmetric shape, achieving a peak power ~107 times bigger than the initial state. The thermal-hydraulic feedback then controls the prompt-critical condition, achieving a subcritical state. The analysis is restricted to one second time evolution, and a sensitivity analysis on the time discretization using different time bins is performed. The results show how the use of different time discretizations impact the prediction of the main safety parameters’ evolution, with differences up to ~50% in peak power, ~100 °C in fuel temperature, ~20 °C in cladding temperature, and ~40% in DNB ratio. For this particular problem, it is concluded that shorter time bins are needed; minimum differences in terms of temperatures were observed when using 1 ms and 0.5 ms bins, suggesting that time bins of these orders are appropriate for the type of scenario analyzed in this work.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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