Author
Listed:
- David Legrady
(Department of Nuclear Techniques, Institute of Nuclear Techniques, Budapest University of Technology and Economics, H-1111 Budapest, Hungary)
- Gabor Tolnai
(Department of Nuclear Techniques, Institute of Nuclear Techniques, Budapest University of Technology and Economics, H-1111 Budapest, Hungary)
- Tamas Hajas
(Department of Nuclear Techniques, Institute of Nuclear Techniques, Budapest University of Technology and Economics, H-1111 Budapest, Hungary)
- Elod Pazman
(Wigner Research Center for Physics, H-1121 Budapest, Hungary)
- Tamas Parko
(MVM Paks NPP Ltd., H-7030 Paks, Hungary)
- Istvan Pos
(MVM Paks NPP Ltd., H-7030 Paks, Hungary)
Abstract
Targeting ultimate fidelity reactor physics calculations the Dynamic Monte Carlo (DMC) method simulates reactor transients without resorting to static or quasistatic approximations. Due to the capability to harness the computing power of Graphics Processing Units, the GUARDYAN (GpU Assisted Reactor DYnamic ANalysis) code has been recently upscaled to perform pin-by-pin simulations of power plant scale systems as demonstrated in this paper. A recent rod drop experiment at a VVER-440/213 (vodo-vodyanoi enyergeticheskiy reaktor) type power plant at Paks NPP, Hungary, was considered and signals of ex-core detectors placed at three different positions were simulated successfully by GUARDYAN taking realistic fuel loading, including burn-up data into account. Results were also compared to the time-dependent Paks NPP in-house nodal diffusion code VERETINA (VERONA: VVER Online Analysis and RETINA: Reactor Thermo-hydraulics Interactive). Analysis is given of the temporal and spatial variance distribution of GUARDYAN fuel pin node-wise power estimates. We can conclude that full core, pin-wise DMC power plant simulations using realistic isotope concentrations are feasible in reasonable computing times down to 1–2% error of ex-core detector signals using current GPU (Graphics Processing Unit) High Performance Computing architectures, thereby demonstrating a technological breakthrough.
Suggested Citation
David Legrady & Gabor Tolnai & Tamas Hajas & Elod Pazman & Tamas Parko & Istvan Pos, 2022.
"Full Core Pin-Level VVER-440 Simulation of a Rod Drop Experiment with the GPU-Based Monte Carlo Code GUARDYAN,"
Energies, MDPI, vol. 15(8), pages 1-17, April.
Handle:
RePEc:gam:jeners:v:15:y:2022:i:8:p:2712-:d:788626
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