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.
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Acknowledgements
Research described in this report has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement no. 101056799 (Project ‘DT4GS’).
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Antonopoulos, A., Karakostas, B., Katsoulakos, T., Mavrakos, A., Tsaousis, T., Zavvos, S. (2023). A Digital Twin Enabled Decision Support Framework for Ship Operational Optimisation Towards Decarbonisation. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Eighth International Congress on Information and Communication Technology. ICICT 2023. Lecture Notes in Networks and Systems, vol 694. Springer, Singapore. https://doi.org/10.1007/978-981-99-3091-3_38
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DOI: https://doi.org/10.1007/978-981-99-3091-3_38
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