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Publications
Tadros, M., Ventura, M. and Guedes Soares, C. (2023), Review of the decision support methods optimizing ship hull towards improving energy efficiency, Journal of Marine Science and Engineering, Vol. 11, 835
This paper presents a review of the different methods and techniques used to optimize the ship hull over the last five years (2017-2021). This review shows the different percentages of reduction in ship resistance and thus in the fuel consumption to improve the ship's energy efficiency, achieving a goal toward maritime decarbonization. Operation research and machine learning are the common decision support methods and techniques used to find the optimal solution. This paper covers four research areas to improve ship hull, including hull form, hull structure, hull cleaning and hull lubrication. In each area of research, several computer programs are used, depending on the study's complexity and objective. It has been found that no specific method is considered the optimum, while the combination of several methods can achieve more accurate results. Most of the research work is focused on the concept stage of ship design, while operational conditions have recently taken place, achieving an improvement in energy efficiency. The finding of this study contributes to mapping the scientific knowledge of each technology used in the ship hull, identifying relevant topic areas, and recognising research gaps and opportunities. It also helps to present holistic approaches in future research, supporting more realistic solutions toward sustainability.
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