不确定条件下低碳型港口资源优化配置研究

发布时间：2018-08-27 07:05

【摘要】：港口作为国际供应链的重要节点,具有能耗高、外部环境复杂、资源密集等特点。随着节能减排低碳发展行动的实施,优化配置港口资源,建设低碳型港口成为我国港口亟待解决的问题之一。同时,港口生产是多工种、多环节的联合作业,受自然条件和人为因素等不确定事件的影响,减少不确定事件发生后的损失,也是港口规划面临的重要问题之一。本文以不确定事件发生时港口总损失最小、港口运营期内碳排放最小为目标,研究不确定条件下港口资源优化配置的建模理论与方法、低碳型港口资源优化配置方案以及港口资源低碳化改造策略等问题。在分析港口资源构成要素、低碳型港口内涵、港口碳排放量化以及港口不确定性的基础上,构建不确定条件下低碳型港口资源优化配置模型,并利用不确定条件下航运网络资源优化配置模型所确定的资金、船舶及航线资源配置与各港口节点的吞吐量等输出结果,提出了采用NSGA-II多目标遗传算法和系统仿真的求解方法。首先,考虑航运网络外生不确定突发事件的概率情景集合,以不确定事件发生后的网络总成本损失最小为目标,以资金额度与网络连通可靠度为约束,构建不确定条件下航运网络资源配置二阶段随机规划模型,在宏观层面解决如何预先配置航运网络资源使得突发事件发生后网络总损失最小的问题。其次,在分析低碳型港口资源的经济与环境效益的基础上,考虑港口资源属性,以港口资源在寿命期内总成本最小为目标,构建港口单资源低碳化改造动态规划模型,以确定港口资源的低碳化改造策略,从微观层面确定港口资源的低碳化改造时机。最后,以碳排放最少、运营成本最低为目标,考虑港口节点的船舶配置及泊位资源组合初始方案,针对港口生产作业系统内生不确定性,构建不确定条件下低碳型港口资源优化配置的多目标仿真优化模型,从微观层面确定低碳型港口资源的优化配置方案。该模型内嵌港口生产作业系统仿真模型,用以测度港口服务水平。以某港区集装箱码头工程为实例,验证本研究所提出的不确定条件下低碳型港口资源优化配置模型的实用性。
[Abstract]:As an important node of international supply chain, port has the characteristics of high energy consumption, complex external environment and intensive resources. With the implementation of energy-saving and emission reduction low-carbon development action, optimizing the allocation of port resources and building low-carbon port has become one of the problems to be solved urgently. At the same time, port production is a multi-type, multi-link joint operation, affected by natural conditions and human factors and other uncertain events, to reduce the loss of uncertain events, but also one of the important problems facing the port planning. With the aim of minimizing the total loss of the port and the minimum carbon emission during the period of the port operation, this paper studies the modeling theory and method of the optimal allocation of the port resources under the uncertain conditions. The low-carbon port resource optimization allocation scheme and port resources low-carbonization transformation strategy and so on. On the basis of analyzing the components of port resource, the connotation of low-carbon port, the carbon emission of port and the uncertainty of port, the optimal allocation model of low-carbon port resource under uncertain conditions is constructed. Using the output results of capital, ship and route resource allocation and the throughput of each port node determined by the optimal allocation model of shipping network resources under uncertain conditions, a multi-objective genetic algorithm based on NSGA-II and a method of system simulation are proposed. First of all, considering the probability scenario set of exogenous unexpected events in shipping network, taking the minimum total network cost loss after the uncertain events as the goal, and taking the amount of funds and the network connectivity reliability as the constraints. A two-stage stochastic programming model of shipping network resource allocation under uncertain conditions is constructed to solve the problem of how to pre-configure shipping network resources to minimize the total network loss after unexpected events. Secondly, on the basis of analyzing the economic and environmental benefits of low-carbon port resources, considering the attributes of port resources, taking the minimum total cost of port resources as the goal, the dynamic programming model of port single-resource low-carbon transformation is constructed. In order to determine the strategy of low carbonization transformation of port resources and determine the opportunity of low carbonization transformation of port resources from the micro level. Finally, taking the minimum carbon emission and the lowest operating cost as the target, considering the initial scheme of ship configuration and berth resource combination of the port node, the endogenous uncertainty of the port production operation system is considered. A multi-objective simulation optimization model for the optimal allocation of low-carbon port resources under uncertain conditions is constructed, and the optimal allocation scheme of low-carbon port resources is determined from the microscopic level. The simulation model of port production operation system is embedded in this model to measure port service level. Taking a container terminal project in a port area as an example, this paper verifies the practicability of the low carbon port resource optimal allocation model under uncertain conditions.
【学位授予单位】：大连理工大学
【学位级别】：博士
【学位授予年份】：2016
【分类号】：U691

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