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Lee, Deokjung
Computational Reactor physics & Experiment Lab.
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dc.citation.startPage 107192 -
dc.citation.title ANNALS OF NUCLEAR ENERGY -
dc.citation.volume 138 -
dc.contributor.author Yu, Jiankai -
dc.contributor.author Lee, Hyunsuk -
dc.contributor.author Lemaire, Matthieu -
dc.contributor.author Kim, Hanjoo -
dc.contributor.author Zhang, Peng -
dc.contributor.author Lee, Deokjung -
dc.date.accessioned 2023-12-21T17:44:25Z -
dc.date.available 2023-12-21T17:44:25Z -
dc.date.created 2019-12-24 -
dc.date.issued 2020-04 -
dc.description.abstract A fuel performance (FP) analysis of the BEAVRS (Benchmark for Evaluation and Validation of Reactor Simulations) benchmark Cycle 1 depletion is performed using the MCS/FRAPCON coupled code system. MCS/FRAPCON is a cycle-wise Picard-iteration inner-coupling code system. It is based on the Monte Carlo neutron-transport code MCS and employs the steady-state fuel behavior prediction code FRAPCON as a thermal-hydraulic (T/H) and FP solver. MCS is developed by the Computational Reactor Physics and Experiment Lab of Ulsan National Institute of Science and Technology for the high-fidelity full-core analysis of large-scale commercial light water reactors. Results of power, fuel temperature, coolant temperature and coolant density distributions are presented and analyzed for a quarter-core pin-wise depletion simulation of the BEAVRS Cycle 1 benchmark with T/H and FP feedback (10 axial meshes per pin, 180,870 depletion cells in total). For code-code comparison purpose, the depletion simulation is also conducted with the MCS/TH1D (internal one-dimensional T/H solver) and MCS/CTF (external sub-channel 3D T/H solver) coupled code systems. The dependence to the burnup of the power, fuel temperature, coolant temperature, and coolant density distributions is analyzed by comparison between the three coupled systems. Validation is performed against BEAVRS measured data for the calculated boron letdown curve and calculated distributions of axially-integrated assembly-wise detector signal. Finally, unique distributions of parameters that can only be obtained by FP analysis are examined to illustrate the advanced analysis capability of MCS/FRAPCON. -
dc.identifier.bibliographicCitation ANNALS OF NUCLEAR ENERGY, v.138, pp.107192 -
dc.identifier.doi 10.1016/j.anucene.2019.107192 -
dc.identifier.issn 0306-4549 -
dc.identifier.scopusid 2-s2.0-85075187326 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/30633 -
dc.identifier.url https://www.sciencedirect.com/science/article/pii/S0306454919307029 -
dc.identifier.wosid 000513293900033 -
dc.language 영어 -
dc.publisher Pergamon Press Ltd. -
dc.title Fuel performance analysis of BEAVRS benchmark Cycle 1 depletion with MCS/FRAPCON coupled system -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Nuclear Science & Technology -
dc.relation.journalResearchArea Nuclear Science & Technology -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor MCS/FRAPCON -
dc.subject.keywordAuthor BEAVRS Cycle 1 -
dc.subject.keywordAuthor Quarter-core depletion -
dc.subject.keywordAuthor Fuel performance analysis -
dc.subject.keywordPlus CARLO CODE MCS -

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