Bioethanol supply chain system planning under supply and demand uncertainties

被引：168

作者：

Chen, Chien-Wei ^{[2
]}

Fan, Yueyue ^{[1
]}

机构：

[1] Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA

[2] Univ Calif Davis, Inst Transportat Studies, Davis, CA 95616 USA

来源：

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2012年 / 48卷 / 01期

关键词：

Energy supply chain planning; Stochastic programming; Decomposition; Cellulosic biofuel; Biowastes; CORN STOVER; BIOMASS; ETHANOL; MANAGEMENT; TRANSPORT; DESIGN; ENERGY; STRATEGIES; FACILITIES; CONVERSION;

D O I：

10.1016/j.tre.2011.08.004

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

A mixed integer stochastic programming model is established to support strategic planning of bioenergy supply chain systems and optimal feedstock resource allocation in an uncertain decision environment. The two-stage stochastic programming model, together with a Lagrange relaxation based decomposition solution algorithm, was implemented in a real-world case study in California to explore the potential of waste-based bioethanol production. The model results show that biowaste-based ethanol can be a viable part of sustainable energy solution for the future. (C) 2011 Elsevier Ltd. All rights reserved.

引用

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页码：150 / 164

页数：15

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