文章基本信息

标题：VLCC’s fuel consumption prediction modeling based on noon report and automatic identification system
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作者：Ali Akbar Safaei ; Hassan Ghassemi ; Mahmoud Ghiasi 等
期刊名称：Cogent Engineering
电子版ISSN：2331-1916
出版年度：2019
卷号：6
期号：1
页码：1-12
DOI：10.1080/23311916.2019.1595292
出版社：Taylor and Francis Ltd
摘要：It is extremely important for fuel saving by taking the correct decisions where cost efficiency and environmental friendliness are top priorities. The fuel consumption rate of the ship is influenced by many parameters, such as average daily sailing speed, ship displacement, cargo, ballast water and bunker, trim and sea conditions (wind, wave and current) in a complicated way. In this study, noon report (NR) and automatic identification system (AIS) datum of four Very Large Crude Carriers (VLCC) are widely used to establish a prediction model. Needless to say that, the accuracy of statistical models depends on consistency and quality of collected datum, hence a novel combination methodology applied to NR and AIS datum to prepare a series of pure valid data population of vessel speed, fuel consumption and sea state. Then the consistency of populations are enriched by eliminating the out ranged or junkie members in different methods, i.e., T-test, normality control and outlier score base (OSB). Finally, multiple linear regressions are applied considering all fuel consumption influential parameters. Results show a high correlation between the independent and dependent variables. Consequently, generated formula predicts fuel consumption of vessels at all variable conditions in good agreement with recorded fuel consumption data.
关键词：fuel consumption; sea state; multiple linear regressions; noon report data; automatic identification system; VLCC