Reducing CO 2 Emissions during the Operation of Unmanned Transport Vessels with Diesel Engines

Tadeusz Szelangiewicz () and Katarzyna Żelazny
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Tadeusz Szelangiewicz: Faculty of Navigation, Maritime University of Szczecin, 70-500 Szczecin, Poland
Katarzyna Żelazny: Faculty of Navigation, Maritime University of Szczecin, 70-500 Szczecin, Poland

Energies, 2023, vol. 16, issue 12, 1-21

Abstract: Environmental protection is one of the most challenging tasks facing mankind. Reducing CO 2 emissions in the global economy, including maritime transport, is being pursued in various ways, one of them being the design work leading to the construction and operation of unmanned ships. Unmanned vessels operating on longer routes will still have internal combustion propulsion. However, they will not have the superstructure and the various systems and equipment necessary for the crew. This will result in an unmanned vessel having less weight, less displacement and, therefore, less size, resistance and propulsion power than a manned vessel for the same transport capacity. Consequently, the unmanned vessel will emit less CO 2 . This paper presents a novel method for predicting fuel consumption and CO 2 emissions for unmanned container ships. The method uses regression relationships of geometric and operational parameters for manned container ships developed for this purpose to determine such relationships for unmanned ships. On this basis, it is shown what the level of CO 2 reduction will be compared to manned container ships.

Keywords: manned and unmanned container ships; carrying capacity; speed; propulsion power; fuel consumption; emissions (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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