Open collaboration and open Digital Twin infrastructure for Green Smart Shipping

Información del proyecto

DT4GS

Identificador del acuerdo de subvención: 101056799

DOI

10.3030/101056799

Proyecto cerrado

Fecha de la firma de la CE 28 Abril 2022

Fecha de inicio 1 Junio 2022

Fecha de finalización 31 Mayo 2025

Financiado con arreglo a

• Climate, Energy and Mobility

Coste total

€ 6 987 333,00

Aportación de la UE

€ 6 987 331,00

Coordinado por

INLECOM GROUP
Belgium

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Other (4)

DT4GS (Green Shipping) Dataspace v1

Connectors Module 1st Version, IoT infrastructure, Internal and External Connectors matching selected priority use cases. This deliverable includes the outputs of T2.2.

DT4GS Model Blueprints and Open Model Library v1

Model blueprints template, and optimised models, Open Model Library (OML) prototype. This deliverable includes the outputs of T2.4.

DT4GS knowledge Hub v1

Observatory for GS Solutions first release. This deliverable includes the outputs of T3.1.

DT4GS Edge and Orchestration Infrastructure v1

Cloud based infrastructure for services provisioning, deployable library on vessels. Hosting and orchestration services including tools for deployment automation. This deliverable includes the outputs of T2.5.

Documents, reports (2)

DT4GS modelling framework for ship operational performance optimisation including ship efficiency innovations

Modelling Framework Specification, Navigation Management and hull models, Integrated Machinery Performance management and remote-control models, Integrated ship energy production models, Robust Fuel consumption models, and Life Cycle assessment Models. Model updates and Integrated modelling framework based on LL feedback. This deliverable includes the outputs of T1.2.

DT4GS Value-oriented Analysis in enabling Shipping Decarbonisation

Value Oriented Analysis, LLs Scenarios, Transition Challenges, and high-level scenarios Requirements. This deliverable includes the outputs of T1.1.

Websites, patent fillings, videos etc. (1)

Dissemination & Communication v1

Establish project communication and dissemination Strategy/Plan and report. This deliverable includes the outputs of T5.1.

Publicaciones

Peer reviewed articles (9)

Knowledge Graphs underpinning ship digital twins for decarbonisation options assessment

Autores: Bill Karakostas; Antonis Antonopoulos
Publicado en: International Marine Design Conference, 2024, ISSN 3050-4864
Editor: IMDC
DOI: 10.59490/IMDC.2024.871

Ship Design in the Era of Digital Transition

Autores: Apostolos Papanikolaou, Evangelos Boulougouris, Stein-Ove Erikstad, Stefan Harries, Austin A. Kana
Publicado en: International Marine Design Conference, 2024, ISSN 3050-4864
Editor: TU Delft OPEN Publishing
DOI: 10.59490/IMDC.2024.784

Marine Voyage Optimization and Weather Routing with Deep Reinforcement Learning

Autores: Charilaos Latinopoulos, Efstathios Zavvos, Dimitrios Kaklis, Veerle Leemen, Aristides Halatsis
Publicado en: Journal of Marine Science and Engineering, Edición 13, 2025, ISSN 2077-1312
Editor: MDPI AG
DOI: 10.3390/JMSE13050902

Trajectory Mining and Routing: A Cross-Sectoral Approach

Autores: Dimitrios Kaklis; Ioannis Kontopoulos; Iraklis Varlamis; Ioannis Z. Emiris; Takis Varelas
Publicado en: Journal of Marine Science and Engineering, 2024, ISSN 2077-1312
Editor: MDPI
DOI: 10.3390/JMSE12010157

Digital twin for ship life-cycle: A critical systematic review

Autores: F. Mauro, A.A. Kana
Publicado en: Ocean Engineering, Edición Article 113479, 2023, ISSN 0029-8018
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.oceaneng.2022.113479

Marine Voyage Optimization and Weather Routing with Deep Reinforcement Learning

Autores: Charilaos Latinopoulos, Efstathios Zavvos, Dimitrios Kaklis, Veerle Leemen, Aristides Halatsis
Publicado en: Journal of Marine Science and Engineering, Edición 13, 2025, ISSN 2077-1312
Editor: MDPI AG
DOI: 10.3390/JMSE13050902

Agentic AI for Digital Twin

Autores: Alexander Timms, Abigail Langbridge, Antonis Antonopoulos, Antonis Mygiakis, Eleni Voulgari, Fearghal O'Donncha
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 39, 2025, ISSN 2374-3468
Editor: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V39I28.35373

Enabling digital twins in the maritime sector through the lens of AI and industry 4.0

Autores: Dimitrios Kaklis, Iraklis Varlamis, George Giannakopoulos, Takis J. Varelas, Constantine D. Spyropoulos
Publicado en: International Journal of Information Management Data Insights, Edición Article 100178, 2023, ISSN 2667-0968
Editor: Elsevier Ltd
DOI: 10.1016/J.JJIMEI.2023.100178

Retrofit modeling for green ships

Autores: Julien J. M. Hermans; Austin A. Kana
Publicado en: International Marine Design Conference, 2024, ISSN 3050-4864
Editor: IMDC
DOI: 10.59490/IMDC.2024.890

Conference proceedings (10)

Agentic AI for ship routing

Autores: Fearghal O'Donncha, Abigail Langbridge, Alexander Timms, Antonis Antonopoulos, Antonis Mygiakis, Eleni Voulgari
Publicado en: 2025
Editor: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-19197

Applying Hybrid Quantum LSTM for Indoor Localization Based on RSSI

Autores: S.F. Chien, David Chieng, Samuel Y.C. Chen, Charilaos C. Zarakovitis, H. S. Lim, Y.H. Xu
Publicado en: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Editor: IEEE
DOI: 10.1109/ICASSP48485.2024.10447032

A Digital Twin Enabled Decision Support Framework for Ship Operational Optimisation Towards Decarbonisation

Autores: Antonis Antonopoulos, Bill Karakostas, Takis Katsoulakos, Anargyros Mavrakos, Theodosis Tsaousis, Stathis Zavvos
Publicado en: Proceedings of Eighth International Congress on Information and Communication Technology (ICICT 2023), 2023, ISSN 2367-3370
Editor: Springer
DOI: 10.1007/978-981-99-3091-3_38

Agentic Anomaly Detection for Shipping

Autores: A Timms, A Langbridge, F O'Donncha
Publicado en: NeurIPS 2024 Workshop on Open-World Agents, 2024
Editor: NeurIPS 2024 Workshop on Open-World Agents

Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data

Autores: Abigail Langbridge, Fearghal O’Donncha, James T Rayfield, Bradley Eck
Publicado en: 2024 IEEE International Conference on Big Data (BigData), 2025
Editor: IEEE
DOI: 10.1109/BIGDATA62323.2024.10825081

A Digital Twin Enabled Decision Support Framework for Ship Operational Optimisation Towards Decarbonisation

Autores: Antonopoulos, Antonis; Karakostas, Bill; Katsoulakos, Takis; Mavrakos, Anargyros; Tsaousis, Theodosis; Zavvos, Stathis
Publicado en: Proceedings of Eighth International Congress on Information and Communication Technology(ICICT 2023), 2023
Editor: SpringerLink
DOI: 10.1007/978-981-99-3091-3_38

Knowledge Graph Based Digital Twin to Support Green Shipping

Autores: Bill Karakostas, Antonis Antonopoulos, Takis Katsoulakos, Anargyros Mavrakos, Theodosis Tsaousis
Publicado en: CM3 – TRANSPORT 2023 : New Greener and Digital Modern Transport – its Challenges in Design Methods, Tools and Technologies : Book of Abstracts and Programme, 2024, ISSN 2670-191X
Editor: Jyväskylän yliopisto

Time Series Analysis for Digital Twins in Green Shipping

Autores: Lazaros Avgeridis; Konstantinos Lentzos; Dimitrios Skoutas; Ioannis Z. Emiris
Publicado en: SNAME 8th International Symposium on Ship Operations, Management and Economics, Edición SNAME-SOME-2023-028, 2023, ISSN 0000-0000
Editor: OnePetro
DOI: 10.5957/SOME-2023-028

Quantum Neural Networks: A Path to Lower Emissions Through Fuel Consumption Prediction in Shipping

Autores: S.F. Chien, Julien J.M. Hermans, Austin A. Kana, Charilaos. C. Zarakovitis, Stathis Zavvos, H.S. Lim
Publicado en: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
Editor: IEEE
DOI: 10.1109/ICASSP49660.2025.10888871

From STEAM to Machine: Emissions control in the shipping 4.0 era

Autores: Dimitrios Kaklis, Takis J. Varelas, Iraklis Varlamis, Pavlos Eirinakis, George Giannakopoulos, Constantine V. Spyropoulos
Publicado en: SNAME 8th International Symposium on Ship Operations, Management and Economics, Edición SNAME-SOME-2023-020, 2023
Editor: OnePetro
DOI: 10.5957/SOME-2023-020

Monographic books (1)

State-of-the-Art Digital Twin Applications for Shipping Sector Decarbonization

Autores: Bill Karakostas and Takis Katsoulakos
Publicado en: 2024
Editor: IGI Global
DOI: 10.4018/978-1-6684-9848-4