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Progress Report on Computational Analyses of Water-Based NSTF [electronic resource].

Published:
Washington, D.C. : United States. Office of the Assistant Secretary for Nuclear Energy, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description:
61 pages : digital, PDF file
Additional Creators:
Argonne National Laboratory, United States. Office of the Assistant Secretary for Nuclear Energy, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary:
CFD analysis has been focused on important component-level phenomena using STARCCM+ to supplement the system analysis of integral system behavior. A notable area of interest was the cavity region. This area is of particular interest for CFD analysis due to the multi-dimensional flow and complex heat transfer (thermal radiation heat transfer and natural convection), which are not simulated directly by RELAP5. CFD simulations allow for the estimation of the boundary heat flux distribution along the riser tubes, which is needed in the RELAP5 simulations. The CFD results can also provide additional data to help establish what level of modeling detail is necessary in RELAP5. It was found that the flow profiles in the cavity region are simpler for the water-based concept than for the air-cooled concept. The local heat flux noticeably increases axially, and is higher in the fins than in the riser tubes. These results were utilized in RELAP5 simulations as boundary conditions, to provide better temperature predictions in the system level analyses. It was also determined that temperatures were higher in the fins than the riser tubes, but within design limits for thermal stresses. Higher temperature predictions were identified in the edge fins, in part due to additional thermal radiation from the side cavity walls.
Report Numbers:
E 1.99:anl--art-103
anl--art-103
Subject(s):
Note:
Published through SciTech Connect.
08/01/2017.
"anl--art-103"
"137481"
Q. Lv; A. Kraus; R. Hu; M. Bucknor; D. Lisowski; D. Nunez.
Funding Information:
AC02-06CH11357
View MARC record | catkey: 23780878