Journal of Dalian Maritime University >
2018 , Vol. 44 >Issue 1: 31 - 35
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2018.01.005
Intelligent speed optimization of fixed route ship based on real ship monitoring data
Received date: 2017-08-05
Revised date: 2017-10-15
Online published: 2017-10-15
The fuel oil consumption model was established based on real time monitoring data for the fixed route ship, and the segment division was carried out according to the route information. Based on the idea of discretization, a speed optimization model was established with speed as independent variable and fuel consumption as dependent variable. The ship speed optimization was conducted by using genetic algorithm under the constraint condition of meeting the sailing schedule requirement. Results show that the proposed ship fuel consumption model error is 0.9% on the 12 selected voyage sections. 1.9% oil consumption can be saved by speed optimization, and the recommended revolution on each voyage section was provided. The optimization results can provide reference for ship maneuvering aid decision-making.
MA Ran-qi , HUANG Lian-zhong , WEI Mao-su , LIU Ting , LIU Yi-fan , WANG Huan-yu . Intelligent speed optimization of fixed route ship based on real ship monitoring data[J]. Journal of Dalian Maritime University, 2018 , 44(1) : 31 -35 . DOI: 10.16411/j.cnki.issn1006-7736.2018.01.005
[1]SMITH T W P，JALKANEN J P，ANDERSON B A，et al．Third IMO GHG study 2014:executive summary and final report[R]．London：International Maritime Organization(IMO)，2015．
[2]LEIFSSON L Þ，SæVARSDÓTTIR H，SIGURðSSON S Þ，et al．Grey-box modeling of an ocean vessel for operational optimization[J]Simulation Modelling Practice and Theory，2008，16(8)：923 – 932．
[3]ALVAREZ J F，LONGVA T，ENGEBRETHSEN E S．A methodology to assess vessel berthing and speed optimization policies[J]．Maritime Economics & Logistics，2010，12(4)：327 – 346．
[4]中国船级社．智能船舶规范[S]．北京：中国船级社，2015．
[5]PYÖRRE J．Overcoming the challenges in vessel speed optimization[EB/OL]．(2012-10)[2017-08-03]．https://zh.scribd.com/document/329797660/2012-10-Challenges-in-Vessel-Speed-Optimization．
[6]魏应三，王永生．船舶航速优化原理研究[J]．中国造船， 2008，49(增)：75 – 82．
WEI Ying-san，WANG Yong-sheng．Research on optimization principal of ship speed[J]．Shipbuilding of China，2008，49(S)：75 – 82．(in Chinese)
[7]SHENG Xiao-ming，LEE L H，CHEW E P．Dynamic determination of vessel speed and selection of bunkering ports for liner shipping under stochastic environment[J]．OR Spectrum，2014，36(2)：455 – 480．
[8]张进峰，马伟皓，刘永森，等．考虑营运成本和排放的船舶航速多目标优化模型[J]．中国航海，2017，40(1)：129 – 134．
ZHANG jin-feng，MA Wei-hao，LIU Yong-sen，et al．Multi-objective ship speed optimization for simultaneously minimizing emissions and operation cost[J]．Navigation of China，2017，40(1)：129 – 134．(in Chinese)
[9]刘伊凡，孙培廷，张跃文，等．船舶能效营运指数预测的建模及仿真分析[J]．哈尔滨工程大学学报，2016，37(8)： 1015 – 1021．
LIU Yi-fan，SUN Pei-ting，ZHANG Yue-wen，et al．Modeling and simulation analysis to establish ship energy efficiency operational indicator[J]．Journal of Harbin Engineering University，2016，37(8)：1015 – 1021．(in Chinese)
[10]盛振邦，刘应中．船舶原理(下)[M]．上海：上海交通大学出版社，2003：29．
[11]Ships and marine technology-guidelines for the assessment of speed and power performance by analysis of speed trial data:ISO 15016:2002[S/OL]．[2002-06].https://www.iso.org/standard/26214.html．
[12]ITTC．Full scale measurements speed and power trials analysis of speed/power trial data[R]．Kgs.Lyngby，Denmark： International Towing Tank Conference(ITTC)，2005．
[13]NORSTAD I，FAGERHOLT K，LAPORTE G．Tramp ship routing and scheduling with speed optimization[J]．Transportation Research Part C:Emerging Technologies，2011，19(5)：853 – 865．
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