Coupled Monte Carlo Transport and Conjugate Heat Transfer for Wire-Wrapped Bundles Within the MOOSE Framework

Novak, A. J.; Shriwise, P.; Romano, P. K.; Rahaman, R.; Merzari, E.; Gaston, D.

doi:10.1080/00295639.2022.2158715

Coupled Monte Carlo Transport and Conjugate Heat Transfer for Wire-Wrapped Bundles Within the MOOSE Framework

Journal Article · Tue Feb 14 23:00:00 EST 2023 · Nuclear Science and Engineering

DOI:https://doi.org/10.1080/00295639.2022.2158715· OSTI ID:2203852

^[1]; Shriwise, P. ^[1]; Romano, P. K. ^[1]; Rahaman, R. ^[2]; Merzari, E. ^[3]; Gaston, D. ^[4]

Argonne National Laboratory (ANL), Argonne, IL (United States)
Georgia Institute of Technology, Atlanta, GA (United States)
Pennsylvania State University, State College, PA (United States)
Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Cardinal is an open-source application that couples OpenMC Monte Carlo transport and NekRS computational fluid dynamics (CFD) to the Multiphysics Object-Oriented Simulation Environment (MOOSE), closing neutronics and thermal-fluid gaps in conducting high-resolution multiscale and multiphysics analyses of nuclear systems. We first provide a brief introduction to Cardinal's software design, data mapping, and coupling strategy to highlight our approach to overcoming common challenges in high-fidelity multiphysics simulations. Here we then present two Cardinal simulations for hexagonal pin bundles. The first is a validation of Cardinal's conjugate heat transfer coupling of NekRS's Reynolds-Averaged Navier Stokes model with MOOSE's heat conduction physics for a bare seven-pin Freon-12 bundle flow experiment. Predictions for pin surface temperatures under three different heating modes agree reasonably well with experimental data and similar CFD modeling from the literature. The second simulation is a multiphysics coupling of OpenMC, NekRS, and BISON for a reduced-scale, seven-pin wire-wrapped version of an Advanced Burner Reactor bundle. Wire wraps are approximated using a momentum source model, and coupled predictions are provided for velocity, temperature, and power distribution.

View Accepted Manuscript (DOE)

Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States); Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Sponsoring Organization:: USDOE Office of Science (SC); USDOE Laboratory Directed Research and Development (LDRD) Program

Grant/Contract Number:: AC02-06CH11357; AC05-00OR22725

OSTI ID:: 2203852

Journal Information:: Nuclear Science and Engineering, Journal Name: Nuclear Science and Engineering Journal Issue: 10 Vol. 197; ISSN 0029-5639

Publisher:: Taylor & FrancisCopyright Statement

Country of Publication:: United States

Language:: English

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