TWINSHIP – INTEGRATED DIGITAL TWIN FRAMEWORK TO ENABLE GREEN SHIP OPERATIONS TOWARDS ZERO EMISSION VESSELS

Informazioni relative al progetto

TwinShip

ID dell’accordo di sovvenzione: 101192583

DOI

10.3030/101192583

Data della firma CE 12 Dicembre 2024

Data di avvio 1 Febbraio 2025

Data di completamento 31 Gennaio 2028

Finanziato da

• Climate, Energy and Mobility

Costo totale

€ 9 137 385,00

Contributo UE

€ 7 700 000,00

Coordinato da

UNIVERSITETET I TROMSOE - NORGES ARKTISKE UNIVERSITET
Norway

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Conference proceedings (13)

VesselAI: AI-powered maritime analytics and decision support toward low-emission ship operations

Autori: A.Blika, Th. Gerostathis, G. Xidias, A.Michalitsi-Psarrou, Th. Florakis, L.Ilias, Sp. Mouzakitis, K.Belibassakis, L.P. Perera
Pubblicato in: 9th INT. SYMPOSIUM ON SHIP OPERATIONS, MANAGEMENT AND ECONOMICS
Editore: SNAME through OnePetro

Dynamic Mode Decomposition-Based Approach for Digital Twin Development in Ship Performance Prediction

Autori: Mahmood Taghavi, Lokukaluge Prasad Perera, Ziaul Haque Munim
Pubblicato in: Innovations in Sustainable Maritime Technology—IMAM 2025, 2026
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-02102-1_5

Data-driven life cycle cost analysis and environmental impact assessment in shipping

Autori: M.O.F. Zahid, L.P. Perera
Pubblicato in: Innovations in Maritime Technology and Engineering, 2026
Editore: CRC Press
DOI: 10.1201/9781042001194-101

Hydrodynamics and multi-physics simulations towards systematic development of Digital Twin in shipping,

Autori: K. Belibassakis, A. Oster and L. P. Perera
Editore: Springer

A vortex element model for propeller interaction with tin rudder systems

Autori: D. Anevlavi, K. Belibassakis, A. Öster
Pubblicato in: Innovations in Maritime Technology and Engineering, 2026
Editore: CRC Press
DOI: 10.1201/9781003795490-18

Development of Hardware-in-the-Loop tests for air lubrication systems in ships

Autori: I. Dermentzoglou, K. Belibassakis, D. Armanes, T. Pappas
Pubblicato in: Innovations in Maritime Technology and Engineering, 2026
Editore: CRC Press
DOI: 10.1201/9781003795490-28

A model for identifying the impact of lateral excita-tions of ships with WAPs in realistic operating conditions

Autori: M.Angelou,G.Papadakis, D.Triperinas,K.Belibassakis,
Pubblicato in: 9th INT. SYMPOSIUM ON SHIP OPERATIONS, MANAGEMENT AND ECONOMICS
Editore: SNAME through OnePetro

Large language model-assisted weather routing for energy-efficient voyage optimization in shipping

Autori: M. Taghavi, K. Demmich, M. Pontius, A. Patraucean, L. Cucos, L.P. Perera
Pubblicato in: Innovations in Maritime Technology and Engineering, 2026
Editore: CRC Press
DOI: 10.1201/9781042001194-100

Hydrodynamics and multi-physics simulations supporting development of Digital Twin in shipping: the case of a futuristic RoRo vessel

Autori: K. Belibassakis, A. Oster and L. P. Perera
Pubblicato in: 9th INT. SYMPOSIUM ON SHIP OPERATIONS, MANAGEMENT AND ECONOMICS
Editore: SNAME through OnePetro

Digital Twin Framework to Enable Green Ship Operations Towards Zero Emission Vessels—TwinShip Approach

Autori: Lokukaluge Prasad Perera, Kostas Belibassakis, Dumitru Roman, Anders Oster, Lu Ruihua
Pubblicato in: Innovations in Sustainable Maritime Technology—IMAM 2025, 2026
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-02102-1_4

Deep learning towards marine engine fuel consumption prediction in ship operational conditions

Autori: M. Adnan, L.P. Perera, T. Roman
Pubblicato in: Innovations in Maritime Technology and Engineering, 2026
Editore: CRC Press
DOI: 10.1201/9781003795490-22

From Intent to Optimization: A Human-in-the-Loop Framework for Natural Language Problem Formulation in Voyage Optimization

Autori: A Askouni et al
Pubblicato in: 32nd IEEE International Conference on Engineering, Technology and Innovation (ICE) 2026
Editore: IEEE

Enabling Trustworthy Maritime AI Decision Support: An Integrated Platform Architecture

Autori: A Blika et al
Pubblicato in: 32nd IEEE International Conference on Engineering, Technology and Innovation (ICE) 2026
Editore: IEEE

Peer reviewed articles (2)

Localized anomaly detection and recovery of marine engine data to support digital twin development in shipping

Autori: Mahmood Taghavi, Lokukaluge P. Perera
Pubblicato in: Ocean Engineering, Numero 351, 2026, ISSN 0029-8018
Editore: Elsevier BV
DOI: 10.1016/J.OCEANENG.2026.124356

Digital twin development for ship fuel consumption predictions using multiple model adaptive estimation with Eigensystem Realization Algorithm and Observer/Kalman Filter Identification

Autori: Mahmood Taghavi, Lokukaluge P. Perera
Pubblicato in: Ocean Engineering, Numero 345, 2026, ISSN 0029-8018
Editore: Elsevier BV
DOI: 10.1016/J.OCEANENG.2025.123743