EPJ Web Conf.
Volume 247, 2021PHYSOR2020 – International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future
|Number of page(s)
|Advanced Modelling and Simulation
|22 February 2021
THE McSAFE PROJECT - HIGH-PERFORMANCE MONTE CARLO BASED METHODS FOR SAFETY DEMONSTRATION: FROM PROOF OF CONCEPT TO INDUSTRY APPLICATIONS
1 Karlsruhe Institute of Technology Hermann-von-Helmholtz Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
2 VTT Technical Research Centre of Finland Ltd. Tietotie 3, Espoo, FI-02044 VTT, Finland
3 Delft Nuclear Consultancy Street IJSSELZOOM 2 Postcode 2902 LB Capelle aan den Ijssel, the Netherlands
4 UJV HLAVNI 130, HUSINEC REZ, Post code 250 68, Czech Republic
5 KTH Street BRINELLVAGEN 8, Stockholm, Postcode 100 44, Sweden
Published online: 22 February 2021
The increasing use of Monte Carlo methods for core analysis is fostered by the huge and cheap computer power available nowadays e.g. in large HPC. Apart from the classical criticality calculations, the application of Monte Carlo methods for depletion analysis and cross section generation for diffusion and transport core simulators is also expanding. In addition, the development of multi-physics codes by coupling Monte Carlo solvers with thermal hydraulic codes (CFD, subchannel and system thermal hydraulics) to perform full core static core analysis at fuel assembly or pin level has progressed in the last decades. Finally, the extensions of the Monte Carlo codes to describe the behavior of prompt and delay neutrons, control rod movements, etc. has been started some years ago. Recent coupling of dynamic versions of Monte Carlo codes with subchannel codes make possible the analysis of transient e.g. rod ejection accidents and it paves the way for the simulation of any kind of design basis accidents as an alternative option to the use of diffusion and transport based deterministic solvers. The H2020 McSAFE Project is focused on the improvement of methods for depletion considering thermal hydraulic feedbacks, extension of the coupled neutronic/thermal hydraulic codes by the incorporation of a fuel performance solver, the development of dynamic Monte Carlo codes and the development of methods to handle large depletion problems and to reduce the statistical uncertainty. The validation of the multi-physics tools developed within McSAFE will be performed using plant data and unique tests e.g. the SPERT III E REA test. This paper will describe the main developments, solution approaches, and selected results.
Key words: Monte Carlo / Depletion / Multi-Physics / ICoCo coupling / dynamic Monte Carlo
© The Authors, published by EDP Sciences, 2021
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