Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/107719
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Title: Optimal ship deployment and sailing speed under alternative fuels
Authors: Wang, H 
Liu, Y
Wang, S 
Zhen, L
Issue Date: Sep-2023
Source: Journal of marine science and engineering, Sept. 2023, v. 11, no. 9, 1809
Abstract: The European Union (EU) has implemented a sub-quota of 2% for renewable marine fuels to be utilized by vessels operating within its jurisdiction, effective starting from 2034. This progressive policy signifies a significant leap towards reducing carbon emissions and promoting sustainable development. However, it also presents notable challenges for shipping companies, particularly in terms of fuel costs. In order to support shipping companies in devising optimal strategies within the framework of this new policy, this study proposes a mixed-integer linear programming model. This model aims to determine the optimal decisions for fuel choice, sailing speed and the number of vessels on various routes. Furthermore, we showcase the adaptability of our model in response to fluctuations in fuel prices, relevant vessel costs, and the total fleet size of vessels. Through its innovative insights, this research provides invaluable guidance for optimal decision-making processes within shipping companies operating under the new EU policy, enabling them to minimize their total costs effectively.
Keywords: Energy efficiency
Green shipping
Sailing speed
Sustainable maritime transportation
Publisher: MDPI AG
Journal: Journal of marine science and engineering 
EISSN: 2077-1312
DOI: 10.3390/jmse11091809
Rights: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Wang H, Liu Y, Wang S, Zhen L. Optimal Ship Deployment and Sailing Speed under Alternative Fuels. Journal of Marine Science and Engineering. 2023; 11(9):1809 is available at https://doi.org/10.3390/jmse11091809.
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