Operations Planning In Container Terminals Considering Energy Management

With the continuous growth of the volume and intensity of container operations,container terminals consume huge quantities of energy and produce a large amount of carbon emission.Therefore,how to realize save energy and reduce emissions in container terminals has become a growing concern under the trend of global low-carbon transformation.However,current research only focuses on energy consumption or carbon emissions in the operating system.Since limited attention has been paid to the strong correlation between the energy system and the operating system of container terminals,low energy efficiency,high energy bills,and large carbon emissions in the operation process are still unsettled.To this end,this dissertation introduces more in-depth and detailed energy management methods in operations planning and gives a comprehensive and systematic study of operations planning in container terminals considering energy management.This study makes up for the deficiencies of the existing research of operations planning and obtains research results with certain theoretical significance and industrial practical value.According to the characteristics of energy consumption modes in container terminals,this dissertation summarizes three energy management levels,i.e.,energy demand management,energy allocation management,and energy dispatching management.Based on this,the operations planning problem considering energy management is studied from the shallower to the deeper.In detail,the following research is conducted.(1)Research on the operations planning problem considering load shifting.In view of energy pricing policy in the scenario of a single energy,this dissertation introduces the load shifting mode in operations planning.An optimization model of the operations planning considering load shifting is developed to simultaneously optimizes the integrated operation plan in container terminals and the energy demand in each time period.Given the computational difficulty and decomposability of the model,a logic-based Benders decomposition(LBBD)algorithm is proposed to solve it,and valid inequalities are designed to speed up the solution procedure.Finally,the effectiveness of the model and algorithm is verified by numerical experiments,and managerial implications are provided to improve operational efficiency and enhance demand-side response capability.The methodology provides a new idea to manage energy resources in the process of operations planning,which helps port operators to improve energy utilization and save energy costs.(2)Research on the operations planning problem considering energy switching.Focused on energy allocation management in energy switching mode,this dissertation optimizes the output of multiple energy sources by adjusting the energy switching of hybrid power equipment.An optimization model of the operations planning considering energy switching is developed to simultaneously optimize the operation plan and the time points of energy switching.To solve the proposed model,we propose an improved branch-and-price algorithm and a hybrid acceleration strategy combining the label setting algorithm with a tabu search algorithm.Finally,numerical experiments are used to analyze the algorithm performance and verify the practical value of the model.We also discuss managerial implications drawn from our results for the full play of energy switching in energy conservation and emission reduction.The methodology can solve the operations planning problem considering energy switching and provide theoretical support for further research on integrating energy management into operations planning in container terminals.(3)Research on the operations planning problem considering multi-energy complementary.In view of the scenario where multiple energies are coupled in the form of electricity,it is necessary to consider energy dispatching management when making operations plans for container terminals.Focused on the multi-energy complementary mode,this dissertation deepens the management of multiple energy sources to a more detailed level of coordinated energy dispatching and develops an optimization model of operations planning considering multi-energy complementary.According to the two-stage characteristics of the model,a hybrid genetic algorithm is designed,which integrates linear programming,mixed integer programming,and heuristic rules in the genetic algorithm framework.Based on the actual operation data collected from the container terminals in China,a series of numerical experiments are conducted to verify the effectiveness of the model and algorithm.These results highlight some managerial implications for taking full advantage of multi-energy complementation.The methodology can provide decision support for operations planning in multi-energy complementary mode and contributes to the harmonious operation of the energy system and the operating system of container terminals.Through the study of the aforementioned problems,this dissertation further enriches the theory related to operations planning in container terminals and provides technical methods to solve a series of practical problems regarding energy management encountered in the process of operations planning.Therefore,it provides the theoretical basis and decision support for the port operators to deal with the operations planning problems under practical energy consumption modes.