• DocumentCode
    735442
  • Title

    Study of energy efficient navigation method for inland ship: A cruise ship case

  • Author

    Ailong Fan ; Qizhi Yin ; Xinping Yan ; Xing Sun

  • Author_Institution
    Sch. of Energy & Power Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2015
  • fDate
    25-28 June 2015
  • Firstpage
    437
  • Lastpage
    441
  • Abstract
    According to the navigation characteristics of the inland ship, a multiple-constrained model of minimum fuel consumption is established. Some information collection sensors are amounted on this ship in order to obtain the research data. Through analysis and process of these data, the regression functions between main engine fuel consumption and shaft revolution speed and between ship speed to water and revolution speed are obtained. Take the typical navigation leg for example; the model is resolved using LINGO software. Next, the energy efficient methods are further studied in two aspects that is the optimization of the navigation time and the working number of the main engine. The research results indicate that ship´s fuel consumption can be efficiently reduced by extending the navigation time and reducing the working number of the main engine.
  • Keywords
    fuel economy; marine navigation; shafts; ships; LINGO software; data analysis; data processing; energy-efficient navigation method; information collection sensors; inland ship; main-engine fuel consumption; minimum fuel consumption; multiple-constrained model; navigation characteristics; navigation leg; navigation time; regression functions; shaft revolution speed; ship fuel consumption reduction; ship speed; Engines; Fitting; Fuels; Marine vehicles; Navigation; Schedules; Shafts; LINGO; energy conservation; inland cruise ship; multi-constrained; navigation optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Information and Safety (ICTIS), 2015 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4799-8693-4
  • Type

    conf

  • DOI
    10.1109/ICTIS.2015.7232079
  • Filename
    7232079