Benchmarking of CFD modelling of a reactor vessel auxiliary cooling system (RVACS)

dc.contributor.authorHe, Jundi
dc.contributor.authorHe, Shuisheng
dc.contributor.authorShaver, Dillon
dc.contributor.authorMacpherson, Graham
dc.contributor.authorMerzari, Elia
dc.contributor.authorWang, Wei
dc.contributor.authorLiu, Bo
dc.contributor.authorCartland-Glover, Greg
dc.contributor.authorLim, Oliver
dc.contributor.authorHoughton, Tim
dc.contributor.authorKatsamis, Constantinos
dc.contributor.authorSigournay, Chris
dc.contributor.authorKyritsopoulos, Ioannis
dc.contributor.funderEngineering and Physical Sciences Research Council (EPSRC)
dc.contributor.funderScience and Technology Facilities Council (STFC)
dc.date.accessioned2026-07-27T13:21:33Z
dc.date.issued2026-07
dc.description.abstractThis dataset provides benchmark computational-fluid-dynamics (CFD) results for forced, mixed and natural convection flows in a simplified Reactor Vessel Auxiliary Cooling System (RVACS), generated for the Collaborative Computational Project in Nuclear Thermal Hydraulics (CCP-NTH). The geometry represents the RVACS as planar inlet and outlet channels separated by a baffle plate and connected at the bottom, with heated inner and cooled outer walls. Three-dimensional direct numerical simulations (DNS) were performed with the low-Mach-number spectral-element solver Nek5000 on ARCHER2 and provide the high-fidelity reference solution. 2/3-D Reynolds-averaged Navier-Stokes (RANS) simulations were contributed by participating organisations using engineering CFD approaches, including Code\_Saturne, FEAT and Ansys Fluent, with a range of turbulence models, wall treatments, mesh resolutions and steady or unsteady solution strategies. The dataset contains post-processed results from both DNS and RANS calculations for the forced convection, mixed convection and natural convection cases. It includes mean vertical velocity, mean temperature and turbulent kinetic energy profiles extracted along twelve uniformly spaced horizontal probe lines through the RVACS domain. It also includes wall shear stress and wall heat flux distributions along the hot wall, cold wall and baffle surfaces. DNS fields were averaged in time and in the transverse direction before extraction, while RANS results were extracted directly from the two-dimensional solutions; unsteady RANS data were time averaged after reaching statistically stationary behaviour. These data support comparison of turbulence modelling strategies for buoyancy-affected separated flows and passive reactor cooling applications.
dc.description.sponsorshipThis work was funded by the Collaborative Computational Project for Nuclear Thermal Hydraulics (CCP-NTH, EP/T026685/1). The direct numerical simulations were performed using the ARCHER2 UK National Supercomputing Services, with computing resources provided via the UK Turbulence Consortium (EP/R029326/1).
dc.identifier.urihttps://edata.stfc.ac.uk/handle/edata/1011
dc.identifier.urihttps://doi.org/10.5286/edata/979
dc.language.isoen
dc.rightsCreative Commons Attribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.otherReactor Vessel Auxiliary Cooling System
dc.subject.otherDirect Numerical Simulation
dc.subject.otherRANS turbulence modelling
dc.subject.otherBuoyancy-driven heat transfer
dc.titleBenchmarking of CFD modelling of a reactor vessel auxiliary cooling system (RVACS)
dc.typeDataset

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