Porous Media Model Simulates Thermal-Hydraulics Of Nuclear Research Reactors With Flat And Curved Plate Fuel Assembly
Abstract
The advancement of nuclear research reactors hinges on precise thermal-hydraulic analyses, especially when reactors undergo potential design modifications or power uprates. This study uses the computational fluid dynamics (CFD) tool, FLUENT, to analyze thermal-hydraulic behavior in the Replacement Research Reactor (RRR) and the Missouri University of Science and Technology Reactor (MSTR). The RRR model operates at 20 MW (MW) with flat plate fuel assemblies, while the MSTR explores a hypothetical power uprate from 0.2 to 2 MW using curved plate assemblies. Two CFD methods—realistic and porous media modeling—are applied for thermal-hydraulic analysis in RRR and MSTR. For RRR, realistic simulations at 5.08 m/s led to a 245 kPa pressure drop. In MSTR, simulations across 0.25–1.25 m/s velocities yielded maximum fuel and fluid temperatures of 323 K and 303 K, respectively, at 0.25 m/s and 2 MW power. The determined inertia resistance factors are 9.81 m−1 (RRR), 12.35 m−1 (MSTR), and viscous resistance factors are 1.98 x 107 m−2 (RRR), 683,060 m−2 (MSTR). This study validates porous media modeling as a computationally efficient approach for thermal-hydraulic analysis in nuclear reactors, effectively complementing realistic simulations for in-depth assessments.
Recommended Citation
M. H. Tusar et al., "Porous Media Model Simulates Thermal-Hydraulics Of Nuclear Research Reactors With Flat And Curved Plate Fuel Assembly," International Communications in Heat and Mass Transfer, vol. 153, article no. 107334, Elsevier, Apr 2024.
The definitive version is available at https://doi.org/10.1016/j.icheatmasstransfer.2024.107334
Department(s)
Geosciences and Geological and Petroleum Engineering
Second Department
Nuclear Engineering and Radiation Science
Keywords and Phrases
Flat plate fuel; FLUENT; Porous media modeling; Research reactor; Thermal hydraulics
International Standard Serial Number (ISSN)
0735-1933
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Elsevier, All rights reserved.
Publication Date
01 Apr 2024