| With the rapid development of the global shipping industry,the issue of energy saving and emission reduction of ships has received increasing attention from the international community.The International Maritime Organization has issued relevant laws and ship emission regulations.China’s "3060" target has also raised higher requirements for the design and operation of China’s ship energy system.The development of green and low-carbon shipping vessels is extremely urgent.To cope with the urgent demand of emission reduction and efficiency improvement in shipping industry,ship energy systems are undergoing evolutionary changes.Various new energy technologies are widely used in new ships,and ship energy efficiency management has also improved from rough,isolated and fragmented ways into detailed,integrated and intelligent forms.In order to promote the safe,efficient,clean and low-carbon development as well as the digital and intelligent transformation of shipping industry,it is of great importance to conduct research on the optimal design and energy-efficiency management of ship energy systems,and to perform real-time dynamic analysis,prediction and assessment of ship energy consumption and emissions during operation.Through scientific scheduling and coordinated dispatching,it is to reduce ship emissions and energy consumption,and to realize the energy efficiency optimization and intelligent control of ships,which in turn is to guide the navigation performance evaluation and shipping management decision-making of ships.This thesis proposes an integrated modeling and multi-objective optimization method for ship energy systems.With considering the various working conditions and performance characteristics of ship power equipment as well as current international shipping organizations’ restrictions on ship emissions,the design optimization and capacity configuration evaluation of ship energy system are investigated.It is expected that this study can provide theoretical guidance and decision-making support for the energy efficiency improvement and low-carbon design of ships.The main contents of this thesis are organized as follows.In Chapter 1,the domestic and international research on ship energy systems,ship energy saving and emission reduction,as well as multi-objective optimal design,evaluation and decision-making are reviewed and summarized.The research focus and approach of this thesis are provided.In Chapter 2,the operation characteristics and energy conversion processes of key units of the ship energy system are studied via modular modeling.The energy flow equilibrium and coupling relationship of sub-modules in the system are described,and the integrated model of ship energy system is performed.In Chapter 3,a Mixed Integer Non-Linear Programming(MINLP)model is developed for the optimization of technology selection,capacity allocation and operation of the ship energy system.The single-objective and multi-objective optimization of the system are performed respectively based on relevant constraints and multiple objective functions.At the same time,the traditional decision-making methods and the Data Envelopment Analysis(DEA)method are analyzed comparatively for the decision-making problem of the multi-objective optimization results.In Chapter 4,a case study of a cruise ship sailing on the Baltic Sea is investigated.Firstly,the energy system of the cruise ship is optimized with single objective.With the system economic and environmental performance being optimized simultaneously,theε constraint method is used to solve the multi-objective optimization problem,the evaluation and decision-making of which results are determined through the traditional decision-making method and DEA method.Then,the effects of the two methods are compared and analyzed.In Chapter 5,the main conclusions and research limit of this thesis are summarized,and an outlook on future research focus is provided. |
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