Vessels fuel consumption forecast and trim optimisation: A data analytics perspective

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• 作者：Andrea Coraddu^a ; ^{andrea.coraddu@damen.com} ; Luca Oneto^b ; ^{luca.oneto@unige.it} ; Francesco Baldi^c ; ^{francesco.baldi@chalmers.se} ; Davide Anguita^d ; ^{davide.anguita@unige.it}
• 关键词：Naval propulsion plant ; Fuel consumption ; Trim optimisation ; Ship efficiency ; Sensors data collection ; Numerical models ; Data analytics ; White Box Models ; Black Box Models ; Gray Box Model
• 刊名：Ocean Engineering
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：130
• 期：Complete
• 页码：351-370
• 全文大小：1331 K
• 卷排序：130

文摘

Three different approaches for the prediction of the fuel consumption are compared. Real data analysis of operational data for a Handymax chemical/product tanker. A new strategy for the optimisation of the trim of a vessel is proposed. Proposal improves a state-of-the-art tools performances.