應用船舶大數據預測油耗之研究

Translated title of the contribution: STUDY ON PREDICTION OF MARINE FUEL CONSUMPTION WITH BIG DATA

H. J. Shaw, C. K. Lin

Research output: Contribution to journalArticlepeer-review

Abstract

An improvement of the marine's fuel consumption will enhance energy management efficiency and profitability in ship companies since fuel cost is one of the biggest operating costs. This study collects real-time navigation data from six container ships by using big data equipment and systems on board. The data was collected by equipment automatically such as, ship speed, main engine speed, horsepower, fuel consumption, longitude, latitude, etc. Draft and trim are recorded by crew manually. The data is sent to the onshore database for pre-processing. Filtering suitable voyages from nearly four years of historical navigation data and illustrating scatter diagram support to obtain fuel consumption prediction trend line. Under the influence of various external factors on fuel consumption, the performance indicator Power Index can reflect the ship's navigation performance. The results show that the indicator is proportional to the fuel consumption. After the fuel consumption error caused by different draft, sailing conditions and the ratio of ship speed is corrected, there is only 5% of the error value remained, which indicating that the continuous accumulation of data can improve the predicted fuel consumption.

Translated title of the contributionSTUDY ON PREDICTION OF MARINE FUEL CONSUMPTION WITH BIG DATA
Original languageChinese (Traditional)
Pages (from-to)181-191
Number of pages11
JournalJournal of Taiwan Society of Naval Architects and Marine Engineers
Volume40
Issue number4
Publication statusPublished - 2021

All Science Journal Classification (ASJC) codes

  • Ocean Engineering
  • Mechanical Engineering

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