Open collaboration and open Digital Twin infrastructure for Green Smart Shipping

HORIZON.2.5HORIZON-RIAID: 101056799
EC Contribution
€69,873
Consortium Size
23 orgs
Summary

DT4GS is aimed at delivering an “Open Digital Twin Framework” for both shipping companies and the broader waterborne industry actors to tap into new opportunities made available through the use of Digital Twins(DTs). The project will enable shipping stakeholders to embrace the full spectrum of DT innovations to support smart green shipping in the upgrade of existing ships and new vessels. DT4GS will cover the full ship lifecycle by embracing federation of DT applications as well as utilising DTLF policies and related shared-dataspace developments for the sector. DT4GS applications will focus on shipping companies but will also provide decarbonisation decision-support system for shipyards, equipment manufacturers, port authorities and operators, river commissions, classification societies, energy companies and transport/corridor infrastructure companies. DT4GS’s objectives are to: 1. Support shipping companies in achieving up to 20% reduction in CO2e with a 2026 horizon, by developing and deploying real-time configurable DTs for ship and fleet operational performance optimisation in 4 Living Labs involving shipping companies, with different vessel types, and establishing fully validated industry services for Green Shipping Operational Optimisation DTs expected to be adopted by 1000+ ships by 2030.2. Establish a comprehensive zero-emission shipping methodology and support Virtual Testbed and Decision Support Systems that address both new builds and retrofits comprising: a. A DT4GS (Green Shipping) Dataspace for the broader shipping sector contributing to GAIA-X by establishing a core European industry resource that accelerates the green and digital transition of waterborne shipping and transport value chains.b. Simulation based solutions to retrofit ships, targeting 55% reduced CO2e reduction by 2030. c. A smart green “new-build” reference design per vessel type. d. Virtual Testbed services for reducing the cost of physical testing of GS solutions by 20%.

Consortium (23)

Project Results (37)

Source: CORDIS, the EU research results database.

Publications (18)
Agentic AI for Digital Twin
Proceedings of the AAAI Conference on Artificial Intelligence· 2025DOI
Alexander Timms, Abigail Langbridge, Antonis Antonopoulos, Antonis Mygiakis, Eleni Voulgari, Fearghal O'Donncha
Agentic AI for ship routing
· 2025DOI
Fearghal O'Donncha, Abigail Langbridge, Alexander Timms, Antonis Antonopoulos, Antonis Mygiakis, Eleni Voulgari
Marine Voyage Optimization and Weather Routing with Deep Reinforcement Learning
Journal of Marine Science and Engineering· 2025DOI
Charilaos Latinopoulos, Efstathios Zavvos, Dimitrios Kaklis, Veerle Leemen, Aristides Halatsis
Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data
2024 IEEE International Conference on Big Data (BigData)· 2025DOI
Abigail Langbridge, Fearghal O’Donncha, James T Rayfield, Bradley Eck
Quantum Neural Networks: A Path to Lower Emissions Through Fuel Consumption Prediction in Shipping
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)· 2025DOI
S.F. Chien, Julien J.M. Hermans, Austin A. Kana, Charilaos. C. Zarakovitis, Stathis Zavvos, H.S. Lim
Agentic Anomaly Detection for Shipping
NeurIPS 2024 Workshop on Open-World Agents· 2024
A Timms, A Langbridge, F O'Donncha
Applying Hybrid Quantum LSTM for Indoor Localization Based on RSSI
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)· 2024DOI
S.F. Chien, David Chieng, Samuel Y.C. Chen, Charilaos C. Zarakovitis, H. S. Lim, Y.H. Xu
Knowledge Graph Based Digital Twin to Support Green Shipping
CM3 – TRANSPORT 2023 : New Greener and Digital Modern Transport – its Challenges in Design Methods, Tools and Technologies : Book of Abstracts and Programme· 2024
Bill Karakostas, Antonis Antonopoulos, Takis Katsoulakos, Anargyros Mavrakos, Theodosis Tsaousis
Knowledge Graphs underpinning ship digital twins for decarbonisation options assessment
International Marine Design Conference· 2024DOI
Bill Karakostas; Antonis Antonopoulos
Retrofit modeling for green ships
International Marine Design Conference· 2024DOI
Julien J. M. Hermans; Austin A. Kana
Ship Design in the Era of Digital Transition
International Marine Design Conference· 2024DOI
Apostolos Papanikolaou, Evangelos Boulougouris, Stein-Ove Erikstad, Stefan Harries, Austin A. Kana
State-of-the-Art Digital Twin Applications for Shipping Sector Decarbonization
· 2024DOI
Bill Karakostas and Takis Katsoulakos
Trajectory Mining and Routing: A Cross-Sectoral Approach
Journal of Marine Science and Engineering· 2024DOI
Dimitrios Kaklis; Ioannis Kontopoulos; Iraklis Varlamis; Ioannis Z. Emiris; Takis Varelas
A Digital Twin Enabled Decision Support Framework for Ship Operational Optimisation Towards Decarbonisation
Proceedings of Eighth International Congress on Information and Communication Technology(ICICT 2023)· 2023DOI
Antonopoulos, Antonis; Karakostas, Bill; Katsoulakos, Takis; Mavrakos, Anargyros; Tsaousis, Theodosis; Zavvos, Stathis
Digital twin for ship life-cycle: A critical systematic review
Ocean Engineering· 2023DOI
F. Mauro, A.A. Kana
Enabling digital twins in the maritime sector through the lens of AI and industry 4.0
International Journal of Information Management Data Insights· 2023DOI
Dimitrios Kaklis, Iraklis Varlamis, George Giannakopoulos, Takis J. Varelas, Constantine D. Spyropoulos
From STEAM to Machine: Emissions control in the shipping 4.0 era
SNAME 8th International Symposium on Ship Operations, Management and Economics· 2023DOI
Dimitrios Kaklis, Takis J. Varelas, Iraklis Varlamis, Pavlos Eirinakis, George Giannakopoulos, Constantine V. Spyropoulos
Time Series Analysis for Digital Twins in Green Shipping
SNAME 8th International Symposium on Ship Operations, Management and Economics· 2023DOI
Lazaros Avgeridis; Konstantinos Lentzos; Dimitrios Skoutas; Ioannis Z. Emiris
Deliverables (18)
Other Results (1)
Periodic Reporting for period 2 - DT4GS (Open collaboration and open Digital Twin infrastructure for Green Smart Shipping)