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Conference Paper - TRA2026

A conference paper with the title of 'Hydrodynamics and Multi-Physics Simulations towards Systematic Development of Digital Twin in Shipping' by Kostas Belibassakis, Anders Öster and Lokukaluge Prasad Perera was presented at the Transport Research Arena (TRA) 2026 under the TwinShip Consortium Horizon Europe project. Now you read this conference paper from the following link: https://www.researchgate.net/publication/403967612_Hydrodynamics_and_Multi-Physics_Simulations_towards_Systematic_Development_of_Digital_Twin_in_Shipping_ProcTRA2026
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conference

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TwinShip Digital Twin model development for the futuristic unmanned net-zero emissions vessel

🚢 TwinShip Digital Twin 3D Model is Now Online!
We are excited to share that the TwinShip Digital Twin 3D model for a futuristic unmanned net-zero emission vessel is now available online from the following link.

URL: https://visualization.twinship.nord.sintef.no/

🌐 You can now interact with the vessel and explore how onboard sensor data connects with ship ontologies.
🧠 These ontologies form the foundation for future knowledge graphs, enabling us to model an ocean-going vessel as a System of Systems (SoS).

⚓ This is an important step toward smarter, more sustainable, and data-driven maritime operations with a realistic digital twin development methodology.

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deliverables

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TwinShip Workshop on Data Compliance Framework with Generative AI

A workshop, by SINTEF Digital, American Bureau of Shipping (ABS) and UiT- The Arctic University of Norway, on developing a data compliance framework with generative AI capability was conducted at SINTEF Oslo as part of the TwinShip Consortium Horizon Europe project.

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workshop

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TwinShip in Data Week 2026

TwinShip Consortium Horizon Europe project was presented at the Data Week 2026 session: "Trusted maritime digital twins: Data management and AI compliance from ship to shore"

URL: https://data-week.eu/2026-edition/programme/

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workshop

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Ship Data, Ontologies, Knowledge Graphs to Digital Twin

The figure illustrates how sensor data from an ocean-going vessel can be transformed into a digital twin through a structured data-modelling process. It shows that data collected from onboard systems is first organized using ontologies, which provide a shared semantic structure. These ontologies then support the creation of knowledge graphs that connect vessel systems, components, sensor observations, and operational context. Through this representation, the vessel can be modelled as a system of systems, forming the foundation for developing a digital twin structure for ocean-going vessels. data2dt

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