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Conceptual modeling to optimize the haul and transfer of municipal solid waste

机译:概念模型可优化城市固体废物的运输​​和转移

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摘要

Two conceptual mixed integer linear optimization models were developed to optimize the haul and transfer of municipal solid waste (MSW) prior to landfilling. One model is based on minimizing time (h/d), whilst the second model is based on minimizing total cost (€/d). Both models aim to calculate the optimum pathway to haul MSW from source nodes (waste production nodes, such as urban centers or municipalities) to sink nodes (landfills) via intermediate nodes (waste transfer stations). The models are applicable provided that the locations of the source, intermediate and sink nodes are fixed. The basic input data are distances among nodes, average vehicle speeds, haul cost coefficients (in €/ton km), equipment and facilities' operating and investment cost, labor cost and tipping fees.rnThe time based optimization model is easier to develop, since it is based on readily available data (distances among nodes). It can be used in cases in which no transfer stations are included in the system. The cost optimization model is more reliable compared to the time model provided that accurate cost data are available.rnThe cost optimization model can be a useful tool to optimally allocate waste transfer stations in a region and can aid a community to investigate the threshold distance to a landfill above which the construction of a transfer station becomes financially beneficial.rnA sensitivity analysis reveals that queue times at the landfill or at the waste transfer station are key input variables. In addition, the waste transfer station ownership and the initial cost data affect the optimum path. A case study at the Municipality of Athens is used to illustrate the presented models.
机译:开发了两个概念上的混合整数线性优化模型,以优化垃圾填埋之前城市垃圾的运输和转移。一种模型基于最小化时间(h / d),而第二种模型基于最小化总成本(€/ d)。两种模型的目的都是为了计算从源节点(废物生产节点,例如城市中心或城市)到中间节点(废物转运站)到下沉节点(垃圾填埋场)的MSW最佳运输路径。只要源,中间和宿节点的位置是固定的,这些模型就适用。基本输入数据是节点之间的距离,平均车速,运输成本系数(以€/吨公里为单位),设备和设施的运营和投资成本,人工成本和小费。rn基于时间的优化模型更易于开发,因为它基于随时可用的数据(节点之间的距离)。它可以用于系统中不包含中转站的情况。如果可以使用准确的成本数据,则成本优化模型比时间模型更可靠。成本优化模型可以成为在区域内优化分配废物转运站的有用工具,并且可以帮助社区调查与垃圾收集站之间的阈值距离。敏感性分析显示,垃圾填埋场或废物转运站的排队时间是关键的输入变量。此外,废物转运站的所有权和初始成本数据会影响最佳路径。雅典市的案例研究用于说明所提出的模型。

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  • 来源
    《Waste Management》 |2008年第11期|2355-2365|共11页
  • 作者

    D.P. Komilis;

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