TY - JOUR
T1 - A Code-Agnostic Driver Application for Coupled Neutronics and Thermal-Hydraulic Simulations
AU - Romano, Paul K.
AU - Hamilton, Steven P.
AU - Rahaman, Ronald O.
AU - Novak, April
AU - Merzari, Elia
AU - Harper, Sterling M.
AU - Shriwise, Patrick C.
AU - Evans, Thomas M.
N1 - Funding Information:
This research was supported by the ECP, project number 17-SC-20-SC, a collaborative effort of two DOE organizations—the Office of Science and the National Nuclear Security Administration—responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering, and early test bed platforms—to support the nation’s exascale computing imperative. This material was also based in part on support from the DOE, Office of Science, under contract DE-AC02-06CH11357. This research used resources of the ALCF, which is a DOE Office of Science User Facility supported under contract DE-AC02-06CH11357. This research also used resources of the OLCF, which is a DOE Office of Science User Facility supported under contract DE-AC05-00OR22725.
Publisher Copyright:
© 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.
PY - 2021
Y1 - 2021
N2 - While the literature has numerous examples of Monte Carlo (MC) and computational fluid dynamics (CFD) coupling, most are hardwired codes intended primarily for research rather than as stand-alone, general-purpose applications. In this work, we describe an open source application, the Exascale Nuclear Reactor Investigative COde (ENRICO), which enables coupled neutronic and thermal-hydraulic simulations between multiple codes that can be chosen at run time (as opposed to a coupling between two specific codes). The application has been designed such that the control flow logic, domain mapping, nonlinear fixed-point iteration, solution transfers, and convergence checks are all agnostic to the underlying physics solvers used. Special emphasis has also been placed on enabling efficient execution on distributed-memory computing environments. The transfer of solution fields between solvers is performed in memory rather than through filesystem input/output. Additionally, solvers can be configured to run on overlapping or disjoint sets of processes. To date, coupling with the OpenMC and Shift MC codes, the Nek5000 CFD code, and a simplified heat diffusion and subchannel solver has been implemented in ENRICO. We present results for coupled simulations of a single light water reactor fuel assembly based on the NuScale reactor using various combinations of the physics solvers. For this problem, the coupled simulations are shown to converge in about four Picard iterations. A comparison of the heat source and temperature distributions computed by ENRICO using OpenMC coupled with Nek5000 and Shift coupled with Nek5000 illustrates remarkable agreement between the codes.
AB - While the literature has numerous examples of Monte Carlo (MC) and computational fluid dynamics (CFD) coupling, most are hardwired codes intended primarily for research rather than as stand-alone, general-purpose applications. In this work, we describe an open source application, the Exascale Nuclear Reactor Investigative COde (ENRICO), which enables coupled neutronic and thermal-hydraulic simulations between multiple codes that can be chosen at run time (as opposed to a coupling between two specific codes). The application has been designed such that the control flow logic, domain mapping, nonlinear fixed-point iteration, solution transfers, and convergence checks are all agnostic to the underlying physics solvers used. Special emphasis has also been placed on enabling efficient execution on distributed-memory computing environments. The transfer of solution fields between solvers is performed in memory rather than through filesystem input/output. Additionally, solvers can be configured to run on overlapping or disjoint sets of processes. To date, coupling with the OpenMC and Shift MC codes, the Nek5000 CFD code, and a simplified heat diffusion and subchannel solver has been implemented in ENRICO. We present results for coupled simulations of a single light water reactor fuel assembly based on the NuScale reactor using various combinations of the physics solvers. For this problem, the coupled simulations are shown to converge in about four Picard iterations. A comparison of the heat source and temperature distributions computed by ENRICO using OpenMC coupled with Nek5000 and Shift coupled with Nek5000 illustrates remarkable agreement between the codes.
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U2 - 10.1080/00295639.2020.1830620
DO - 10.1080/00295639.2020.1830620
M3 - Article
AN - SCOPUS:85096591560
SN - 0029-5639
VL - 195
SP - 391
EP - 411
JO - Nuclear Science and Engineering
JF - Nuclear Science and Engineering
IS - 4
ER -