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TWINSHIP mini-Conference program - Maritime Digitalization & Decarbonization - Sep 04, 2025.

Now you can register for the TWINSHIP mini-Conference program - Maritime Digitalization & Decarbonization - Sep 04, 2025 from the following link: https://events.teams.microsoft.com/event/cfadf6bf-fd7c-43ed-90f7-2fb483262a65@4e7f212d-74db-4563-a57b-8ae44ed05526 

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TwinShip Innovation 3

🚢 TwinShip Innovation Spotlight: Integrated Green Digital Twin (DT) Model.

We’re excited to share Innovation 3 of the TwinShip project – an Integrated Green DT Model that combines first principles with advanced data science and AI methods to support system-wide ship performance modeling.

🔍 Current Challenge:
Traditional Digital Twin approaches in maritime often rely on first-principles models, which struggle with the complexity of vessel System-of-Systems (SoS) and high-dimensional data. While AI/ML offer powerful alternatives, challenges remain around interpretability and industry trust.

🚀 TwinShip’s Breakthrough:
TwinShip introduces a hybrid DT model development cycle spanning the entire ship lifecycle. It begins with the creation of an Engine Propeller Combinator Diagram (EPCD) using detailed design, hydrodynamic, propulsion, and power system data. This is then enriched with operational, maintenance, and green fuel technology data via the Vessel Data Cloud Space (VDCS) to form a robust, interpretable, and sustainable DT model.

Rooted in experience from VesselAI and SeaTech H2020 projects, this innovation sets a new standard for dynamic, explainable, and green-ready Digital Twins in maritime.

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TwinShip Consortium Horizon Europe Project Podcast - An overview of the project.

Get a sneak peek of the conference paper through this podcast, where we have created the first AI-generated podcast on the conference paper of:

Digital Twin Framework to enable Green Ship Operations towards Zero Emission Vessels – TwinShip Approach

IMAM 2025 20th International Congress of the International Maritime Association of the Mediterranean, At: Crete, Greece

Authors: Lokukaluge Prasad Perera, Kostas Belibassakis, Dumitru Roman and Lu Ruihua		 pod1

 

 

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TwinShip Innovation 2

🚢 TwinShip Innovation Spotlight: Vessel Data Cloud Space (VDCS)

Presenting Innovation 2 of the TwinShip project – the Vessel Data Cloud Space (VDCS) – a structured, intelligent data layer embedded within the open-source VesselAI platform.

🔍 Current Challenge:
Commercial-scale data platforms typically focus on storage, lacking the ability to model complex relationships across vessel System-of-Systems (SoS) data. This limits the maritime sector’s ability to perform deep, integrated analysis of critical systems like engines, propellers, and IoT streams.

🚀 TwinShip’s Breakthrough:
The VDCS organizes diverse vessel data using knowledge graphs and ontologies to maintain real-world interconnections. Integrated into the VesselAI platform, it enables scalable, enriched data management for advanced AI/ML applications.

Powered by:
✅ enRichMyData – open-source enrichment pipelines
✅ Graph-Massivizer – graph tools & FAIR datasets for massive graph handling
✅ EU Data Space initiatives – for secure, sovereign data sharing

VDCS is setting the standard for smart, interoperable maritime data systems.

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TwinShip Innovation 1

🚢 TwinShip Innovation Spotlight: Advanced VesselAI Digital Platform
We're excited to share Innovation 1 of the TwinShip project, the Advanced VesselAI Digital Platform, an open-source solution driving sector-wide collaboration and maritime innovation.

🔍 Current Challenge:
The maritime industry largely relies on proprietary digital platforms, restricting access to external R&D and limiting data sharing. This creates barriers for AI/ML validation and slows innovation across the sector.

🚀 TwinShip’s Breakthrough:
By building on the VesselAI H2020 project, TwinShip is integrating an open, federated, and secure platform into its Digital Twin (DT) and Decision Support System (DSS) framework. Key features include:
✅ Large-scale data processing
✅ Federated data sharing with encryption
✅ Semantic interoperability via shared vocabularies and ontologies

Already running at Institute of Communication and Computer Systems-NTUA, Athens, with expansion to UiT- The Arctic University of Norway, Tromsø underway, this platform enables trusted, scalable collaboration among academia, industry, and research, all while ensuring robust data protection and backup strategies.		 Ino1

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