PLEIADES, the smarter plant decommissioning

Istvan Szoke (1) , Marie-Benedicte Jacques (2) , Franz Borrmann (3)

1 IFE - Institute for Energy Technology
2 LFIC (CEA, LIST) - Laboratoire Fiabilité et Intégration de Capteurs (CEA, LIST)
3 iUS - Institut für Umwelttechnologien und Strahlenschutz GmbH

CEA coordinates PLEIADES, an international project within the framework of the European H2020 NRFP2019-09 call for projects, which aims at fostering innovation in the decommissioning of nuclear facilities, by developing a digital decommissioning approach. The idea is to inspire from the BIM (Building Information Modelling) concept, which enables all the information related to the construction of a new building to be managed in a single 3D model. Adapted to the dismantling of a nuclear installation, PLEIADES will gather in a BIM-like model all the data useful for defining scenarios, improving safety, minimising radiation exposure, optimising costs and schedules and carrying out the work. PLEIADES will develop a platform including a set of innovative modules, developed by most of the partners, based on simulation technologies. For such purpose, the PLEIADES project aims first at defining the requirements and specifications, and to specifying a common ontology for nuclear decommissioning. Based on these specifications, a platform will then be developed and will enable the software modules to exchange data thus providing customers a better use of existing data by multiple tools. Next, the platform will be implemented on three real cases of nuclear facilities, a research reactor, a nuclear power plant and a maintenance facility. The implementation on these different kinds of facilities will enable to highlight strengths and weaknesses of such a digital approach. In parallel, an associated methodology will be developed to help capitalize data generated and knowledge during the decommissioning process. PLEIADES will indeed establish a standardised process to organise the data collected throughout the project in datasets. It will also use codebooks to accompany datasets, providing authoritative and quotable information, as well as instructions on how to read, analyse, interpret, and verify data for accuracy and replication purposes. Last, the PLEIADES project aims at defining the exploitation strategy of the project outcomes. It deals with assess the market potential and prepares exploitation scenarios with organisations involved in the project and end-users activated through the Stakeholders group. A comprehensive exploitation strategy with preliminary business plan will be delivered, a baseline scenario via an EEIG (European Economic Interest Grouping) has been sketched before. A focus will also be given to launch a strategy that will promote trainings for the application of 3D models in decommissioning, interact and coordinate with existing initiatives and raise awareness towards young generation of scientists and engineers.

Mots clés: artificial intelligence, decommissioning, ionizing radiation, radioactivity, Building Information Modelling, dismantling, modelling, simulation

Domaines: Algorithme et structure de données [cs.DS]; Intelligence artificielle [cs.AI]; Ingénierie assistée par ordinateur

Istvan Szoke, Marie-Benedicte Jacques, Franz Borrmann. PLEIADES, the smarter plant decommissioning. DEM 2021 – International Conference on Decommissioning Challenges, Sep 2021, Avignon, France. ⟨cea-04127240⟩