Digitalization and digital twins in long term management of radioactive waste

Diederik Jacques, Olaf Kolditz, István Szöke, Sergey Churakov, David Garcia, Eric Laloy, Vanessa Montoya, Nikolaos I. Prasianakis, Javier Samper

Research outputpeer-review

Abstract

Digitalization and Artificial Intelligence is the fastest emerging paradigms in engineering and natural science applications. As an example data-driven and physics-inspired machine learning methods have been developed and evaluated to accelerate numerical simulations; evaluating their usability for applications related to the radioactive waste management cycle is therefore of high relevance. Under the umbrella of the European Joint Programme on Radioactive Waste Management (EURAD) and on Pre-disposal Management of Radioactive Waste (PREDIS), different initiatives have been established to facilitate evaluation and implementation of digitalization technologies (and specifically digital twins mirroring their corresponding physical assets) for long-term radioactive waste management. Previous studies indicate that digitalization is an important tool, to improve processes throughout the whole waste management cycle including pre-disposal activities like waste treatment, conditioning, storage and aspects related to the operation and long-term performance of disposal systems. However, before implementation, several challenges related to different facets of digital twins and digitalization need further research. At this stage, the specific potential and role of different aspects of digital transformation for different topics of waste management is still somewhat vague. In this contribution, an overview will be given addressing selected research developments s based on activities that are ongoing in EURAD and PREDIS or in closely related activities.
Original languageEnglish
Title of host publicationProceedings of ASME 2023 International Conference on Environmental Remediation and Radioactive Waste Management, ICEM 2023
Place of PublicationStuttgart, Germany
PublisherASME - The American Society of Mechanical Engineers
Number of pages8
EditionICEM2023
ISBN (Electronic)9780791887530
DOIs
StatePublished - 3 Oct 2023
Event2023 - ICEM: International Conference on Environmental Remediation and Radioactive Waste Management - International Conference Centre Stuttgart, Stuttgart
Duration: 3 Oct 20236 Oct 2023
https://event.asme.org/ICEM

Publication series

NameProceedings of ASME 2023 International Conference on Environmental Remediation and Radioactive Waste Management, ICEM 2023

Conference

Conference2023 - ICEM
Country/TerritoryGermany
CityStuttgart
Period2023-10-032023-10-06
Internet address

ASJC Scopus subject areas

  • Waste Management and Disposal
  • Environmental Engineering

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