Powering performance analysis of full-scale ships under environmental disturbances

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The fuel efficiency of marine vessels can be increased through operational considerations such as improved cargo arrangements and weather routing. The first step toward this goal is to analyze how the ship's powering performance changes under different operational settings and weather conditions. Existing analytical and empirical methods are not sufficiently satisfactory in accurately predicting the powering performance of full-scale ships. In this study, we suggest the use of machine learning techniques to estimate the ship's powering performance by constructing a regression model that can predict the ship speed and engine power under various weather conditions.
Publisher
Elsevier B.V.
Issue Date
2017-07
Language
English
Article Type
Article
Citation

IFAC-PapersOnLine, v.50, no.1, pp.2323 - 2328

ISSN
2405-8963
DOI
10.1016/j.ifacol.2017.08.474
URI
http://hdl.handle.net/10203/226844
Appears in Collection
ME-Journal Papers(저널논문)
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