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Lee, Deokjung
Computational Reactor physics & Experiment lab (CORE Lab)
Research Interests
  • Reactor Analysis computer codes development
  • Methodology development of reactor physics
  • Nuclear reactor design(SM-SFR,PWR and MSR)

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Uncertainty quantification in decay heat calculation of spent nuclear fuel by STREAM/RAST-K

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Title
Uncertainty quantification in decay heat calculation of spent nuclear fuel by STREAM/RAST-K
Author
Jang, JaerimKong, ChidongEbiwonjumi, BamideleCherezov, AlexeyJo, YunkiLee, Deokjung
Issue Date
2021-09
Publisher
KOREAN NUCLEAR SOC
Citation
NUCLEAR ENGINEERING AND TECHNOLOGY, v.53, no.9, pp.2803 - 2815
Abstract
This paper addresses the uncertainty quantification and sensitivity analysis of a depleted light-water fuel assembly of the Turkey Point-3 benchmark. The uncertainty of the fuel assembly decay heat and isotopic densities is quantified with respect to three different groups of diverse parameters: nuclear data, assembly design, and reactor core operation. The uncertainty propagation is conducted using a two-step analysis code system comprising the lattice code STREAM, nodal code RAST-K, and spent nuclear fuel module SNF through the random sampling of microscopic cross-sections, fuel rod sizes, number densities, reactor core total power, and temperature distributions. Overall, the statistical analysis of the calculated samples demonstrates that the decay heat uncertainty decreases with the cooling time. The nuclear data and assembly design parameters are proven to be the largest contributors to the decay heat uncertainty, whereas the reactor core power and inlet coolant temperature have a minor effect. The majority of the decay heat uncertainties are delivered by a small number of isotopes such as 241Am, 137Ba, 244Cm, 238Pu, and 90Y. (c) 2021 Korean Nuclear Society, Published by Elsevier Korea LLC. All rights reserved. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
URI
https://scholarworks.unist.ac.kr/handle/201301/53408
URL
https://www.sciencedirect.com/science/article/pii/S1738573321001522?via%3Dihub
DOI
10.1016/j.net.2021.03.010
ISSN
1738-5733
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