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A Digital Twin Enabled Decision Support Framework for Ship Operational Optimisation Towards Decarbonisation, Antonis Antonopoulos, Bill Karakostas, Takis Katsoulakos, Anargyros Mavrakos, Theodosis Tsaousis, and Stathis Zavvos

Antonis Antonopoulos, Bill Karakostas, Takis Katsoulakos, Anargyros Mavrakos, Theodosis Tsaousis, and Stathis Zavvos

Conference paper

First Online: 30 July 2023

pp 467–476

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 694))


Abstract

Management of the combined effects of several factors is needed to achieve the required ship operational performance towards emissions reduction (‘decarbonisation’) for green shipping. Identifying these factors, defining the effects of them on each other, assessing their importance, and selecting decarbonisation
solutions, require a suitable management framework. This paper discusses the potential of the recent IT paradigm of digital twins for the optimisation of ship performance, regarding decarbonisation as the ultimate goal. The management framework described in this paper is underpinned by a data-driven digital twinning platform and assists stakeholders to continuously optimise current ship operations as well as
evolve the next generation of energy efficient ships.


Keywords Ship decarbonisation · Digital twin · Knowledge Graph · Simulation

Link to Springer

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