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

Información del proyecto

TwinShip

Identificador del acuerdo de subvención: 101192583

DOI

10.3030/101192583

Fecha de la firma de la CE 12 Diciembre 2024

Fecha de inicio 1 Febrero 2025

Fecha de finalización 31 Enero 2028

Financiado con arreglo a

• Climate, Energy and Mobility

Coste total

€ 9 137 385,00

Aportación de la UE

€ 7 700 000,00

Coordinado por

UNIVERSITETET I TROMSOE - NORGES ARKTISKE UNIVERSITET
Norway

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 .

Publicaciones

Conference proceedings (14)

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

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

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

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

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

Autores: M.O.F. Zahid, L.P. Perera
Publicado en: Innovations in Maritime Technology and Engineering, 2026
Editor: CRC Press
DOI: 10.1201/9781042001194-101

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

Autores: K. Belibassakis, A. Oster and L. P. Perera
Editor: Springer

A vortex element model for propeller interaction with tin rudder systems

Autores: D. Anevlavi, K. Belibassakis, A. Öster
Publicado en: Innovations in Maritime Technology and Engineering, 2026
Editor: CRC Press
DOI: 10.1201/9781003795490-18

Simplified Air Lubrication System model for ship propulsion performance in waves

Autores: K. Belibassakis, L.P. Perera, A. Öster
Publicado en: Innovations in Maritime Technology and Engineering, 2026
Editor: CRC Press
DOI: 10.1201/9781003795490-25

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

Autores: I. Dermentzoglou, K. Belibassakis, D. Armanes, T. Pappas
Publicado en: Innovations in Maritime Technology and Engineering, 2026
Editor: 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

Autores: M.Angelou,G.Papadakis, D.Triperinas,K.Belibassakis,
Publicado en: 9th INT. SYMPOSIUM ON SHIP OPERATIONS, MANAGEMENT AND ECONOMICS
Editor: SNAME through OnePetro

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

Autores: M. Taghavi, K. Demmich, M. Pontius, A. Patraucean, L. Cucos, L.P. Perera
Publicado en: Innovations in Maritime Technology and Engineering, 2026
Editor: 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

Autores: K. Belibassakis, A. Oster and L. P. Perera
Publicado en: 9th INT. SYMPOSIUM ON SHIP OPERATIONS, MANAGEMENT AND ECONOMICS
Editor: SNAME through OnePetro

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

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

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

Autores: M. Adnan, L.P. Perera, T. Roman
Publicado en: Innovations in Maritime Technology and Engineering, 2026
Editor: 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

Autores: A Askouni et al
Publicado en: 32nd IEEE International Conference on Engineering, Technology and Innovation (ICE) 2026
Editor: IEEE

Enabling Trustworthy Maritime AI Decision Support: An Integrated Platform Architecture

Autores: A Blika et al
Publicado en: 32nd IEEE International Conference on Engineering, Technology and Innovation (ICE) 2026
Editor: IEEE

Peer reviewed articles (2)

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

Autores: Mahmood Taghavi, Lokukaluge P. Perera
Publicado en: Ocean Engineering, Edición 351, 2026, ISSN 0029-8018
Editor: 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

Autores: Mahmood Taghavi, Lokukaluge P. Perera
Publicado en: Ocean Engineering, Edición 345, 2026, ISSN 0029-8018
Editor: Elsevier BV
DOI: 10.1016/J.OCEANENG.2025.123743