| Green,intelligent and efficient is the goal of shipping industry development.The International Maritime Organization and the Chinese government have issued various regulations and measures on energy conservation and emission reduction of ships,aiming at continuously improving the level of intelligent and green ships.Intelligent optimization of ship energy efficiency can effectively reduce ship energy consumption and pollution gas emissions,which is an effective way to realize green and intelligent ship.In order to further tap the potential of ship energy efficiency improvement,it is necessary to carry out more efficient and intelligent ship energy efficiency optimization methods and technologies.Taking large seagoing bulk carriers as the research object,aiming at the shortcomings of single energy efficiency optimization method,this paper puts forward a joint intelligent optimization method of sailing route and speed,which fully considers the influence of multiple environmental factors and the relationship between these factors and route and speed.It can further enhance the potential of ship energy efficiency optimization and provide theoretical method and technical support for the intelligent optimization of ship energy efficiency.The specific research contents are as follows:(1)The analysis of the temporal and spatial distribution characteristics of ship energy efficiency.Taking fully account of the temporal and spatial differences and variability of ship navigation environment and energy efficiency data,the temporal and spatial distribution characteristics of ship energy efficiency are analyzed based on the obtained navigation environment and energy efficiency data of the target ship,and the relationship between ship energy efficiency and navigation environment factors is studied,which can lay the foundation for the establishment of ship energy consumption model considering environmental factors.(2)The establishment of ship energy consumption model considering multiple environmental factors.Based on the analysis of space-time distribution characteristics of ship energy efficiency,the dynamic characteristics of energy transfer relationship of ship propulsion system are studied,and the ship energy consumption model considering multiple environmental factors is established.In addition,the ship energy consumption level is predicted and analyzed.The results show that the energy consumption model can effectively represent and predict the ship energy consumption under the influence of multiple environmental factors.(3)The joint optimization method of sailing route and speed based on spatiotemporal distribution.Considering the influence of multiple environmental factors and the relationship between them,a joint optimization model of the route and speed is established with the minimum energy consumption of the ship as the objective.As for the multi variable and multi constraint joint optimization model,an effective intelligent algorithm is proposed to realize the joint optimization decision making of the sailing route and speed.The effectiveness of the method is verified by a case study.The analysis results show that the proposed method can jointly achieve the optimal sailing route and speed under complex environmental conditions.Compared with the original operational mode,it can improve ship energy efficiency by 5.9%,which is of great significance to improve the green and intelligent level of ships. |
