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Data-Driven Propulsion Load Optimization: Reducing Fuel Consumption and Greenhouse Gas Emissions in Double-Ended Ferries
Estonian State Fleet, Tallinn, Estonia; Estonian Maritime Academy, Tallinn University of Technology, Tallinn, Estonia.ORCID iD: 0000-0002-1019-9549
Estonian Maritime Academy, Tallinn University of Technology, Tallinn, Estonia.ORCID iD: 0000-0002-3540-4131
Estonian Maritime Academy, Tallinn University of Technology, Tallinn, Estonia.ORCID iD: 0000-0002-4970-280X
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Management, Industrial Design and Mechanical Engineering, Industrial Management. University of Gävle, Center for Logistics and Innovative Production. Estonian Maritime Academy, Tallinn University of Technology, Tallinn, Estonia.ORCID iD: 0000-0002-0622-5791
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2025 (English)In: Journal of Marine Science and Engineering, E-ISSN 2077-1312, Vol. 13, no 4, p. 688-688Article in journal (Refereed) Published
Abstract [en]

As the focus on climate action and sustainable development of the shipping industry intensifies, the maritime sector has intensified its focus on decarbonization. Although the ferry sector accounts for a small part of the global fleet, it plays a crucial role in specific regions. This study examines data from an energy monitoring system installed on a double-ended Estonian ferry over the period from 2022 to 2024. The empirical results clearly show that targeted adjustments can lead to substantial fuel consumption reductions as the optimal operation of the vessel requires equal power from the aft and fore engines particularly when operating under cold or icy conditions. Additionally, the research finds that real-time energy monitoring together with integrating environmental factors supports energy efficiency and fulfilling regulatory requirements. The analysis reveals that environmental corrections and balanced decision-making can generate fuel savings and extended emission reductions. The suggested framework offers ferry operators practical and economical ways of meeting sustainability requirements.

Place, publisher, year, edition, pages
Basel, Switzerland: MDPI , 2025. Vol. 13, no 4, p. 688-688
Keywords [en]
maritime transportation; energy efficiency; GHG emissions; ferry operations; data-driven optimization; propulsion load
National Category
Transport Systems and Logistics Vehicle and Aerospace Engineering
Identifiers
URN: urn:nbn:se:hig:diva-46703DOI: 10.3390/jmse13040688ISI: 001475611200001Scopus ID: 2-s2.0-105003669105OAI: oai:DiVA.org:hig-46703DiVA, id: diva2:1948818
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European Commission, CB0300186Available from: 2025-04-01 Created: 2025-04-01 Last updated: 2025-05-16Bibliographically approved

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Laasma, AndresAiken, Deniece M.Kasepõld, KadiHilmola, Olli-PekkaTapaninen, Ulla Pirita
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