Open collaboration and open Digital Twin infrastructure for Green Smart Shipping

Informacje na temat projektu

DT4GS

Identyfikator umowy o grant: 101056799

DOI

10.3030/101056799

Projekt został zamknięty

Data podpisania przez KE 28 Kwietnia 2022

Data rozpoczęcia 1 Czerwca 2022

Data zakończenia 31 Maja 2025

Finansowanie w ramach

• Climate, Energy and Mobility

Koszt całkowity

€ 6 987 333,00

Wkład UE

€ 6 987 331,00

Koordynowany przez

INLECOM GROUP
Belgium

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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.

Publikacje

Peer reviewed articles (9)

Knowledge Graphs underpinning ship digital twins for decarbonisation options assessment

Autorzy: Bill Karakostas; Antonis Antonopoulos
Opublikowane w: International Marine Design Conference, 2024, ISSN 3050-4864
Wydawca: IMDC
DOI: 10.59490/IMDC.2024.871

Ship Design in the Era of Digital Transition

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

Marine Voyage Optimization and Weather Routing with Deep Reinforcement Learning

Autorzy: Charilaos Latinopoulos, Efstathios Zavvos, Dimitrios Kaklis, Veerle Leemen, Aristides Halatsis
Opublikowane w: Journal of Marine Science and Engineering, Numer 13, 2025, ISSN 2077-1312
Wydawca: MDPI AG
DOI: 10.3390/JMSE13050902

Trajectory Mining and Routing: A Cross-Sectoral Approach

Autorzy: Dimitrios Kaklis; Ioannis Kontopoulos; Iraklis Varlamis; Ioannis Z. Emiris; Takis Varelas
Opublikowane w: Journal of Marine Science and Engineering, 2024, ISSN 2077-1312
Wydawca: MDPI
DOI: 10.3390/JMSE12010157

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

Autorzy: F. Mauro, A.A. Kana
Opublikowane w: Ocean Engineering, Numer Article 113479, 2023, ISSN 0029-8018
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.oceaneng.2022.113479

Marine Voyage Optimization and Weather Routing with Deep Reinforcement Learning

Autorzy: Charilaos Latinopoulos, Efstathios Zavvos, Dimitrios Kaklis, Veerle Leemen, Aristides Halatsis
Opublikowane w: Journal of Marine Science and Engineering, Numer 13, 2025, ISSN 2077-1312
Wydawca: MDPI AG
DOI: 10.3390/JMSE13050902

Agentic AI for Digital Twin

Autorzy: Alexander Timms, Abigail Langbridge, Antonis Antonopoulos, Antonis Mygiakis, Eleni Voulgari, Fearghal O'Donncha
Opublikowane w: Proceedings of the AAAI Conference on Artificial Intelligence, Numer 39, 2025, ISSN 2374-3468
Wydawca: 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

Autorzy: Dimitrios Kaklis, Iraklis Varlamis, George Giannakopoulos, Takis J. Varelas, Constantine D. Spyropoulos
Opublikowane w: International Journal of Information Management Data Insights, Numer Article 100178, 2023, ISSN 2667-0968
Wydawca: Elsevier Ltd
DOI: 10.1016/J.JJIMEI.2023.100178

Retrofit modeling for green ships

Autorzy: Julien J. M. Hermans; Austin A. Kana
Opublikowane w: International Marine Design Conference, 2024, ISSN 3050-4864
Wydawca: IMDC
DOI: 10.59490/IMDC.2024.890

Conference proceedings (10)

Agentic AI for ship routing

Autorzy: Fearghal O'Donncha, Abigail Langbridge, Alexander Timms, Antonis Antonopoulos, Antonis Mygiakis, Eleni Voulgari
Opublikowane w: 2025
Wydawca: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-19197

Applying Hybrid Quantum LSTM for Indoor Localization Based on RSSI

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

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

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

Agentic Anomaly Detection for Shipping

Autorzy: A Timms, A Langbridge, F O'Donncha
Opublikowane w: NeurIPS 2024 Workshop on Open-World Agents, 2024
Wydawca: NeurIPS 2024 Workshop on Open-World Agents

Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data

Autorzy: Abigail Langbridge, Fearghal O’Donncha, James T Rayfield, Bradley Eck
Opublikowane w: 2024 IEEE International Conference on Big Data (BigData), 2025
Wydawca: IEEE
DOI: 10.1109/BIGDATA62323.2024.10825081

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

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

Knowledge Graph Based Digital Twin to Support Green Shipping

Autorzy: Bill Karakostas, Antonis Antonopoulos, Takis Katsoulakos, Anargyros Mavrakos, Theodosis Tsaousis
Opublikowane w: 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
Wydawca: Jyväskylän yliopisto

Time Series Analysis for Digital Twins in Green Shipping

Autorzy: Lazaros Avgeridis; Konstantinos Lentzos; Dimitrios Skoutas; Ioannis Z. Emiris
Opublikowane w: SNAME 8th International Symposium on Ship Operations, Management and Economics, Numer SNAME-SOME-2023-028, 2023, ISSN 0000-0000
Wydawca: OnePetro
DOI: 10.5957/SOME-2023-028

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

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

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

Autorzy: Dimitrios Kaklis, Takis J. Varelas, Iraklis Varlamis, Pavlos Eirinakis, George Giannakopoulos, Constantine V. Spyropoulos
Opublikowane w: SNAME 8th International Symposium on Ship Operations, Management and Economics, Numer SNAME-SOME-2023-020, 2023
Wydawca: OnePetro
DOI: 10.5957/SOME-2023-020

Monographic books (1)

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

Autorzy: Bill Karakostas and Takis Katsoulakos
Opublikowane w: 2024
Wydawca: IGI Global
DOI: 10.4018/978-1-6684-9848-4