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.
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页码：150 / 164
页数：15
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