Large-scale Multiphysics Simulations of Small Modular Reactors Operating in Natural Circulation

References

• B. PETROVIC et al., “Pioneering Role of IRIS in the Resurgence of Small Modular Reactors,” Nucl. Technol., 178, 2, 126 (2012); http://doi.org/10.13182/NT12-A13555.
   Web of Science ®Google Scholar
• “NuScale Standard Plant Design Certification Application; Chapter Four: Reactor,” Technical Report ML18310A325, U.S. Nuclear Regulatory Commission (2018).
   Google Scholar
• E. MERZARI et al., “Performance Analysis of Nek5000 for Single-Assembly Calculations,” presented at the ASME 2018 5th Joint US-European Fluids Engineering Division Summer Mtg., V002T09A031, Montreal, Canada, American Society of Mechanical Engineers (2018); http://doi.org/10.1115/FEDSM2018-83517.
   Google Scholar
• S. HAMILTON et al., “Coupled Multiphysics Driver Implementation,” ECP-SE-08-61, Exascale Computing Project (2018).
   Google Scholar
• S. HAMILTON et al., “Coupled Assembly Analysis,” ECP-SE-08-66, Exascale Computing Project (2019).
   Google Scholar
• J. FANG et al., “Feasibility of Full-Core Pin Resolved CFD Simulations of Small Modular Reactor with Momentum Sources,” Nucl. Eng. Des., 378, 111143 (2021); http://doi.org/10.1016/j.nucengdes.2021.111143.
   Web of Science ®Google Scholar
• P. K. ROMANO et al., “A Code-Agnostic Driver Application for Coupled Neutronics and Thermal-Hydraulic Simulations,” Nucl. Sci. Eng., 195, 4, 391 (2021); http://doi.org/10.1080/00295639.2020.1830620.
   Web of Science ®Google Scholar
• J. A. TURNER et al., “The Virtual Environment for Reactor Applications (VERA): Design and Architecture,” J. Comput. Phys., 326, 544 (2016); http://doi.org/10.1016/j.jcp.2016.09.003.
   Web of Science ®Google Scholar
• A. D. LINDSAY et al., “2.0—MOOSE: Enabling Massively Parallel Multiphysics Simulation,” SoftwareX, 20, 101202 (2022); https://www.sciencedirect.com/science/article/pii/S2352711022001200.
   Google Scholar
• E. MERZARI et al., “Cardinal: A Lower-Length-Scale Multiphysics Simulator for Pebble-Bed Reactors,” Nucl. Technol., 207, 7, 1118 (2021); http://doi.org/10.1080/00295450.2020.1824471.
   Web of Science ®Google Scholar
• A. J. NOVAK et al., “Coupled Monte Carlo and thermal-fluid Modeling of High Temperature Gas Reactors Using Cardinal,” Ann. Nucl. Energy, 177, 109310 (2022); http://doi.org/10.1016/j.anucene.2022.109310.
   Web of Science ®Google Scholar
• B. N. AVILES et al., “MC21/COBRA-IE and VERA-CS Multiphysics Solutions to VERA Core Physics Benchmark Problem # 6,” Prog. Nucl. Energy, 101, 338 (2017); http://doi.org/10.1016/j.pnucene.2017.05.017.
   Web of Science ®Google Scholar
• M. ELLIS et al., “Preliminary Coupling of the Monte Carlo Code OpenMC and the Multiphysics Object-Oriented Simulation Environment for Analyzing Doppler Feedback in Monte Carlo Simulations,” Nucl. Sci. Eng., 185, 1, 184 (2017); http://doi.org/10.13182/NSE16-26.
   Web of Science ®Google Scholar
• D. F. GILL, D. P. GRIESHEIMER, and D. L. AUMILLER, “Numerical Methods in Coupled Monte Carlo and Thermal-Hydraulic Calculations,” Nucl. Sci. Eng., 185, 1, 194 (2017); http://doi.org/10.13182/NSE16-3.
   Web of Science ®Google Scholar
• “Enrico: Exascale Nuclear Reactor Investigative Code,” github; https://github.com/enrico-dev/enrico (accessed Apr. 1, 2023).
   Google Scholar
• P. FISCHER et al., “NekRS, a GPU-Accelerated Spectral Element Navier-Stokes Solver,” Parallel Comput., 114, 102982 (2022); https://www.sciencedirect.com/science/article/pii/S0167819122000710.
   Google Scholar
• E. MERZARI et al., “Large-scale Large Eddy Simulation of Nuclear Reactor Flows: Issues and Perspectives,” Nucl. Eng. Des., 312, 86 (2017); https://www.sciencedirect.com/science/article/pii/S0029549316303570.
   Web of Science ®Google Scholar
• A. OBABKO et al., “Verification and Validation of Nek5000 for T-junction, Matis, SIBERIA, and Max Experiments,” presented at the 16th Int. Topl. Mtg. on Nuclear Reactor Thermal Hydraulics (NURETH-16), Chicago, Illinois, American Nuclear Society (2015).
   Google Scholar
• G. BUSCO, E. MERZARI, and Y. A. HASSAN, “Invariant Analysis of the Reynolds Stress Tensor for a Nuclear Fuel Assembly with Spacer Grid and Split Type Vanes,” Int. J. Heat Fluid Flow, 77, 144 (2019); http://doi.org/10.1016/j.ijheatfluidflow.2019.04.006.
   Web of Science ®Google Scholar
• S.-K. CHANG, S. KIM, and C.-H. SONG, “Turbulent Mixing in a Rod Bundle with Vaned Spacer Grids: OECD/NEA–KAERI CFD Benchmark Exercise Test,” Nucl. Eng. Des., 279, 19 (2014); http://www.sciencedirect.com/science/article/pii/S0029549314002842.
   Web of Science ®Google Scholar
• P. K. ROMANO et al., “OpenMC: A state-of-the-art Monte Carlo Code for Research and Development,” Ann. Nucl. Energy, 82, 90 (2015); https://www.sciencedirect.com/science/article/pii/S030645491400379X.
   Google Scholar
• K. S. CHAUDRI and S. M. MIRZA, “Burnup Dependent Monte Carlo Neutron Physics Calculations of IAEA MTR Benchmark,” Prog. Nucl. Energy, 81, 43 (2015); https://www.sciencedirect.com/science/article/pii/S0149197015000037.
   Google Scholar
• P. K. ROMANO et al., “Monte Carlo Full Core Performance Baseline,” Milestone Report WBS 1.2.1.08 ECP-SE-08-36, Exascale Computing Project (2017).
   Google Scholar
• S. P. HAMILTON et al., “Monte Carlo Full Core Improvements,” Milestone Report WBS 2.2.2.03 ECP-SE-08-51, Exascale Computing Project (2018).
   Google Scholar
• S. HAMILTON et al., “Full Core coupled-physics Simulation with Prescribed Flow rate,” Milestone Report WBS 2.2.2.03 ECP-SE-08-73, Exascale Computing Project (2021).
   Google Scholar
• E. MERZARI et al., “Wall Resolved Large Eddy Simulation of Reactor Core Flows with the Spectral Element Method,” Nucl. Eng. Des., 364, 110657 (2020); http://doi.org/10.1016/j.nucengdes.2020.110657.
   Web of Science ®Google Scholar
• M. A. YILDIZ, E. MERZARI, and Y. A. HASSAN, “Spectral and Modal Analysis of the Flow in a Helical Coil Steam Generator Experiment with Large Eddy Simulation,” Int. J. Heat Fluid Flow, 80, 108486 (2019); http://doi.org/10.1016/j.ijheat”uid”ow.2019.108486.
   Google Scholar
• E. MERZARI et al., “Exascale Multiphysics Nuclear Reactor Simulations for Advanced Designs,” Proc. Int. Conf. for High Performance Computing, Networking, Storage and Analysis (SC ’23), New York, New York, Association for Computing Machinery (2023); https://doi.org/10.1145/3581784.3627038.
   Google Scholar
• E. MERZARI et al., “Energy Exascale Computational Fluid Dynamics Simulations with the Spectral Element Method,” J. Fluids Eng., 146, 4 (2024); http://doi.org/10.1115/1.4064659.
   Google Scholar