Bill Karakostas1, Antonis Antonopoulos2, Takis Katsoulakos1 Anargyros Mavrakos1, Theodosis Tsaousis1
1 Inlecom Systems, Belgium 2 Konnecta, Ireland
ABSTRACT
This paper describes ongoing work carried out in the context of the DT4GS (Digital Twins for Green Shipping) EU Horizon funded project. In DT4GS, digital twins are utilised in the context of supporting the decarbonization of the shipping sector through new green ship designs and the retrofitting of the existing fleet with green technologies. The digital twin is underpinned by a knowledge graph that connects concepts and instances from heterogeneous ship subsystems with performance parameters pertaining to green shipping technologies and hosts black box (pure data based), grey box and physics-based ship models. Moreover, interoperability between models and data from different technical domains including cross-domain simulations, and ‘what if’ scenario analysis is supported. In this paper we discuss how the knowledge graph supports the intelligent exploration of alternative green ship designs and decarbonisation technologies and their trade offs in terms of emissions, costs, and other relevant technical and socioeconomic parameters.
Keywords: digital twin, green shipping, knowledge graph, cross domain simulation
