GUARDYAN
Research keywords:
· GPU
· Monte Carlo
· nuclear reactor safety
· dynamic Monte Carlo
· safety analysis
· variance reduction
Horizon Europe keywords:
· Nuclear energy
Introduction of the Research Group
Welcome to the page of the GUARDYAN code development team! Started in 2014 a new nuclear reactor physics code is under development for elevating safety analysis code quality to "ultimate fidelity", where physics modelling is almost fully devoid of approximations. The GUARDYAN code harvests the computing power of high-end graphics cards to predict with ultimate precision the behaviour of a nuclear reactor for rapid changes occurring in the core. Comparing to experimental data of a currently operating Nuclear Power Plant unit, GUARDYAN has demonstrated that ultimate fidelity calculations can now be put into everyday reactor practice.
Achievements
- formulating Dynamic Monte Caro algorithms for Graphic Processing Units- formulating advanced variance reduction techniques tailored to the needs of GPU's
- successfully replicating by simulation of a full scale Nuclear Power Plant ex-core measurement signals with a realstic pin-by-pin core model with realistic burnup
Publications
Legrady, D. ; Tolnai, G. ; Hajas, T. ; Pazman, E. ; Parko, T. ; Pos, I.Full Core Pin-Level VVER-440 Simulation of a Rod Drop Experiment with the GPU-Based Monte Carlo Code GUARDYAN
ENERGIES 15 : 8 Paper: 2712 , 17 p. (2022)
https://doi.org/10.3390%2Fen15082712
Böröczki, Z. I. ; Klujber, G. ; Tolnai, G. ; Molnár, B. ; Légrády, D. ; Gabrielli, F. ; Rineiski, A. ; Szieberth, M.
Simulation of a research reactor reactivity transient with deterministic and GPU-assisted Monte Carlo reactor kinetics codes
EUROPEAN PHYSICAL JOURNAL PLUS 135 : 3 p. 281 (2020)
https://doi.org/10.1016%2Fj.anucene.2020.107752
Legrady, David ; Halasz, Mate ; Kophazi, Jozsef ; Molnar, Balazs ; Tolnai, Gabor
Population-based variance reduction for dynamic Monte Carlo
ANNALS OF NUCLEAR ENERGY 149 p. 107752 Paper: 107752 (2020)
https://doi.org/10.1016%2Fj.anucene.2020.107752
Molnar, Balazs ; Tolnai, Gabor ; Legrady, David
A GPU-based direct Monte Carlo simulation of time dependence in nuclear reactors
ANNALS OF NUCLEAR ENERGY 132 pp. 46-63. , 18 p. (2019)
https://doi.org/10.1016%2Fj.anucene.2019.03.024
Molnar, B ; Tolnai, G ; Legrady, D
Variance reduction and optimization strategies in a biased woodcock particle tracking framework
NUCLEAR SCIENCE AND ENGINEERING 190 : 1 pp. 56-72. , 17 p. (2018)
https://doi.org/10.1080%2F00295639.2017.1413876
Awards
EURATOM Nuclear Innovation Prize, 2022Journals
Annals of Nuclear Energy, Nuclear Science and Engineering, EnergiesInfrastructure
GPU clusterProjects
Hungarian Atomic Energy Agency, Support Fund for Technical Development for Legislation Purposes, 2020Hungarian Atomic Energy Agency, Support Fund for Technical Development for Legislation Purposes, 2019
VKSZ NNKP 2014-2018, GPU-based Monte-Carlo code development, Hungarian Innovation Fund
Industry relations
Hungarian Atomig Energy Agency, Paks Nuclear Power Plant LtdConferences
International Conference on Physics of Reactors 2022 (PHYSOR 2022)International Conference on Physics of Reactors 2022 (PHYSOR 2018)