dc.citation.conferencePlace |
IO |
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dc.citation.title |
19th International Conference on Emerging Nuclear Energy Systems (ICENES 2019) |
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dc.contributor.author |
Dos, Vutheam |
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dc.contributor.author |
Lee, Hyunsuk |
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dc.contributor.author |
Choe, Jiwon |
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dc.contributor.author |
Lemaire, Matthieu |
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dc.contributor.author |
Shin, Ho Cheol |
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dc.contributor.author |
Lee, Hwan Soo |
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dc.contributor.author |
Lee, Deokjung |
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dc.date.accessioned |
2024-01-31T23:38:44Z |
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dc.date.available |
2024-01-31T23:38:44Z |
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dc.date.created |
2019-12-24 |
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dc.date.issued |
2019-10-07 |
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dc.description.abstract |
The Monte Carlo code MCS is developed at Ulsan National Institute of Science and Technology for the purpose of multi-physics high-fidelity analysis – neutron transport coupled with thermal/hydraulic and fuel performance (N/TH/FP) solvers - of large-scale pressurized water reactors (PWRs). In this work, the 3-D whole-core pin-wise depletion analysis of the OPR-1000 reactor system is conducted with two multi-physics coupled systems: Monte Carlo MCS with 1-D closed-channel T/H feedback (MCS/TH1D) and Monte Carlo MCS coupled with the fuel performance code FRAPCON (MCS/FRAPCON). The multi-physics coupling capability and accuracy of MCS is demonstrated by comparison of the calculated results against measured data for several neutronic parameters of interest: the critical boron concentration (boron letdown curve) and axial/radial power distributions. The solutions obtained by the MCS-based coupled systems show good agreement with the measurement data. This study therefore brings validation elements of the capability of MCS to perform the highfidelity multi-physics simulation of a practical PWR core. |
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dc.identifier.bibliographicCitation |
19th International Conference on Emerging Nuclear Energy Systems (ICENES 2019) |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/79180 |
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dc.publisher |
Institut Teknologi Bandung Bahçeşehir University |
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dc.title |
MCS Monte Carlo multi-physics depletion analysis of an OPR-1000 reactor |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2019-10-06 |
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