Integrating GIS with optimization method for a biofuel feedstock supply chain
Integrating GIS with optimization method for a biofuel feedstock supply chain
复制标题
将 GIS 与生物燃料原料供应链优化方法相结合
DOI：
10.1016/j.biombioe.2017.01.004
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发表时间：
2017-03-01
影响因子：
6
通讯作者：
Sutherland, John W.
中科院分区：
文献类型：
--
作者：
Zhang, Fengli;Wang, Jinjiang;Sutherland, John W.
以森林生物质（这里定义为圆木纸浆材）为原料，本研究的重点是定位生物乙醇设施和设计生物乙醇原料供应链，以最大限度地减少总系统成本。为此，开发了一种将基于地理信息系统的分析与优化建模方法相结合的集成方法。九个候选生物乙醇设施预选的基础上，GIS方法，并作为输入的优化建模。在供需不确定的情况下，计算了系统总成本和输送原料成本。这两种成本值随着年度生物乙醇需求的增长或生物质可用性的减少而显著增加。这是因为需要从更远的距离运输更多的原料，以支持更大规模的生物乙醇设施或几个较小的设施。研究还发现，无论需求或供给如何，盖洛德都是最优的候选人之一。优化模型和识别的位置为决策者提供了一个集成的决策支持系统，以确定候选位置的优化成本、能源使用和GHG排放。(C)2017爱思唯尔有限公司版权所有
Taking forest biomass, defined here as roundwood pulpwood, as feedstock, this study focused on locating bioethanol facilities and designing the bioethanol feedstock supply chain to minimize the total system cost. For this purpose an integrated approach combining Geographic Information System based analysis with optimization modeling method was developed. Nine candidate bioethanol facilities were preselected based on the GIS method and served as input for the optimization modeling followed. The total system cost and the delivered feedstock cost were calculated under demand and supply uncertainties. Both cost values increase significantly as the annual bioethanol demand grows or the biomass availability decreases. This is because more feedstocks are required to be hauled from longer distances to support a larger scale bioethanol facility or several smaller ones. It is also found that Gaylord shows up as one of the optimized candidate no matter what the demand or supply is. The optimization model and identified locations provides decision makers an integrated decision support system to determine optimized cost, energy use, and GHG emissions for candidate locations. (C) 2017 Elsevier Ltd. All rights reserved.