OBJECTIVES

The overall aim of the DORADO project is to improve safety and efficiency in nuclear decommissioning specially through improving waste management and cost estimation, by applying modern robotics, data management and artificial intelligence.

In DORADO, a digital platform based on a data-driven approach will be created, integrating digital tools into a coherent suite customized for decommissioning applications. Once completed, the platform can be utilized especially in situ waste characterisation and segregation, robotics and remote handling systems, characterization and sampling, clearance of surfaces and structures, cost estimation, and knowledge management, with onsite assistance to the fieldworkers.

EXPECTED IMPACT

Efficient use of digital technology can

– Lead to cost savings by optimizing and reducing characterization operations.

– Enhance safety by minimizing radiation exposure risks and radioactive waste.

– Boost operational efficiency through real-time decision-making.

– Enable adaptive responses to unforeseen changes or anomalies.

– Augment human-robot collaboration for quicker and precise operations.

– Lead to cost savings by optimizing operations and reducing potential safety incidents.

– Facilitates improved planning and strategizing of future operations.

HIGHLIGHTS

Main final expectations for the project are:

1) Integrate emerging digital technologies into one coherent platform to support decommissioning planning.​

2) Extend decommissioning ontology and data transfer protocols to cover new use cases.​

3) Describe extensible API to provide standardized data exchange between tools used in decommissioning planning.

PARTNERS

VTT (coordinator), IFE, KIT, WAI, SPIX, SCK, ASNR, iUS, Catenda,  Unistra, Amphos 21, EPRI

DURATION

Sep 2024 – Aug 2027 (3 years)

Budget: 2.1 M €

CONTACT

Project coordinator:

Antti Räty (antti.raty@vtt.fi)

Technical coordinator  

Omar Zahra (omar.zahra@ife.no)

EVENTS

This project has received funding from the HORIZON-EURATOM-2023-NRT-01 under grant agreement No 101165990.