Study On Integrated Scheduling For Core Operating Area Of Container Terminal Considering Carbon Emissions In Port Area

As global energy shortage is becoming increasingly prominent,saving energy and reducing environmental pollution have become the inevitable requirement for sustainable development of human beings.Transportation,as one of the pillar industry in the development of national economy,consumes a great deal of energy and is an important source of greenhouse gas emissions.Among the transportation's emissions pollution,the one caused by the shipping industry which bears more than 80%of the world trade volume cannot be underestimated.And we know port is the key node in the shipping network,thus the carbon emissions from the port area have become an important source of pollution in coastal cities.Therefore,this thesis takes the whole port area as the research object to study the integrated scheduling problem of port core resources,in which the optimization goals are the port area carbon emission and the port equipment service efficiency.Firstly,the theoretical basis of this thesis is described in detail.Through the analysis of the resource elements(facility resources and equipment resources)and the operation process of container terminal core resources(berth allocation operation,loading&unloading operation of quay crane,transport operation of yard truck,and loading&unloading operation of yard crane),one can understand the composition and operation process of port area elements,so as to further analyze the sources of carbon emissions of port area.Additionally,the optimization algorithms for multi-objective programming and decision making problems are summarized and divided into two categories:traditional multi-objective optimization algorithm and multi-objective evolutionary algorithm.Considering the features of the model proposed in this thesis,the final selection of the optimization algorithm is determined.Then,aiming at minimizing port area carbon emissions and maximizing the efficiency of port service,a multi-objective berth-quay crane-yard truck-yard crane integrated scheduling model(MO-B-QC-YT-YCIS)is constructed.It is worth noting that the port area carbon emissions include the ones from port water area and port land area,while port service efficiency is reflected by the average waiting time and departure delay of all vessels arriving at port during the study period,and the smaller the value,the higher the service efficiency.The model is solved by an improved non dominated sorting genetic algorithm(NSGA-II).Finally,a numerical experiment is conducted to test the effectiveness of model and algorithm,followed by the trade-off analysis between the two objectives.From the result we can see that there exists negative correlation between the carbon emission and service efficiency.On one hand,the lower carbon emission in port area will reduce the port service efficiency,that is to say leading to a higher waiting time and departure delay for vessels.On the contrary,if the terminal planners purse high service efficiency,the port must be at the expensive of environment,which will produce much more carbon emissions in port area.Hence,the terminal planners need to make a tradeoff between the two goals of port area carbon emissions and the service efficiency,and then adopt the appropriate optimal scheduling scheme.