考虑碳排放的设施选址与指派问题研究

发布时间：2018-03-16 10:12

本文选题：设施选址　切入点：碳排放　出处：《北京交通大学》2014年硕士论文　论文类型：学位论文

【摘要】：现今,低碳意识早已深入人心,而关于碳减排的研究也成为了一个研究热点。考虑到运输已经成为一个重要的碳排放源头,本文旨在通过优化设施选址来构建低碳运输网络,从而实现碳减排的目的。本文在前人研究的基础之上,在设施选址与指派问题中兼顾考虑了碳排放因素和障碍因素,并对无障碍区域影响下的低碳设施选址与指派问题和障碍区域影响下的低碳设施选址与指派问题分别进行研究。为了使获得的选址方案能够兼顾低碳目标和低运输成本目标,本文将这两个目标整合为一个组合目标,并将上述两个问题均构建为单一目标的混合整数规划问题。为了很好地实现这个组合目标,可调整的组合成本权重被提出并用来参与设施的选址与迭代过程。针对无障碍区域影响下的低碳设施选址与指派问题,本文基于经典的ALA算法提出了一个两阶段迭代算法。在算例分析中,为了说明该两阶段迭代算法的有效性,本文将经典ALA算法及另外两个衍伸ALA算法的运算结果作为参照物。对比分析结果表明,该两阶段迭代算法能够有效地均衡碳排放成本和运输成本对选址方案的影响,并获得碳排放成本和运输成本均较合理的方案,从而实现对组合目标的优化。针对障碍区域影响下的低碳设施选址与指派问题,本文同样提出了一个两阶段的迭代算法。为了形成对比以更好地说明该迭代算法能够有效地减少碳排放,本文还提出了一个考虑障碍的ALA算法。在算例分析中,对通过该两阶段迭代算法运算得出的结果和通过考虑障碍的ALA算法运算得出的结果进行了对比分析,结果表明该两阶段迭代算法能够有效地实现对组合目标的优化,并获得碳排放成本和运输成本均较合理的方案。
[Abstract]:Nowadays, the low carbon consciousness has been deeply accepted, and the research on carbon emission reduction has become a research hotspot. Considering that transportation has become an important source of carbon emissions, this paper aims to construct a low-carbon transportation network by optimizing the location of facilities. In order to achieve the purpose of carbon emission reduction. On the basis of previous studies, this paper takes into account the carbon emission factors and barriers in the problem of facility location and assignment. The low carbon facility location and assignment problem under the influence of barrier-free area and the low carbon facility location and assignment problem under the influence of barrier area are studied respectively. In this paper, the two objectives are integrated into a combined goal, and the above two problems are constructed as a mixed integer programming problem with a single objective. Adjustable combined cost weights are proposed and used to participate in the site selection and iterative process of the facility. In this paper, a two-stage iterative algorithm based on the classical ALA algorithm is proposed to solve the problem of location and assignment of low-carbon facilities under the influence of barrier-free regions. In order to illustrate the effectiveness of the two-stage iterative algorithm, an example is given to illustrate the effectiveness of the two-stage iterative algorithm. In this paper, the results of the classical ALA algorithm and the other two extended ALA algorithms are taken as reference objects. The results of comparison and analysis show that the two-stage iterative algorithm can effectively balance the effect of carbon emission cost and transportation cost on the location selection. The scheme of carbon emission cost and transportation cost are both reasonable, so as to realize the optimization of the combination target. To solve the problem of low carbon facility location and assignment under the influence of barrier area, a two-stage iterative algorithm is also proposed in this paper. In order to better illustrate that the iterative algorithm can effectively reduce carbon emissions, a two-stage iterative algorithm is proposed in this paper. In this paper, a ALA algorithm considering obstacles is also proposed. In the analysis of an example, the results obtained by the two-stage iterative algorithm and the results obtained by the ALA algorithm with obstacles are compared and analyzed. The results show that the two-stage iterative algorithm can effectively realize the optimization of the combined target and obtain a more reasonable scheme of carbon emission cost and transportation cost.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：X322;F252

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