https://doi.org/10.1051/epjconf/202430205009
The Digital Nuclear Reactor Initiative: First steps towards advanced applications
1 Université Paris-Saclay, CEA, Service d'Études des Réacteurs et de Mathématiques Appliquées, 91191, Gif-sur-Yvette, France
2 EDF - R&D – PERICLES, 7 boulevard Gaspard Monge, 91120, Palaiseau, France
3 Framatome - DTIPD Codes and Methods Department, 1 place J. Miller, Paris-la-Défense, France
4 EDF - R&D – MFEE, 6 quai Watier, 78400, Chatou, France
* In Framatome at the time of the study
† In CEA at the time of the study
‡ Corresponding author: barbara.vezzoni@cea.fr
Published online: 15 October 2024
A large-scale research and development project, the Digital Nuclear Reactor initiative, involving the major players in the French nuclear industry has started in 2020. The project aims at developing an advanced Digital Twin comprising two innovative products: (1) a service platform for studies and (2) a new kind of simulator to respond to the growing demand of “just in time” training. After a brief overview of the Digital Nuclear Reactor initiative, the paper will focus on the service platform for advanced studies. This workbench, based on SALOME building-blocks, provides access to multi-physics and multi-scale simulations based on specialized codes couplings that can be adopted for developing new methods and expertise in support to reactor operation and design. An overview of the architectural choices implemented for allowing a modular structure of the workbench is presented. In order to illustrate the service platform functionalities, several scenarios involving different physics and scales approaches are described. Based on those scenarios, it has been possible to answer to the goal of the codes interoperability and interchangeability and their coupling with uncertainties platforms (i.e. URANIE, OpenTURNS). Specific examples are provided to illustrate the main achievements and some possible perspectives.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
