Life cycle energy and CO2 emission optimization for biofuel supply chain planning under uncertainties

被引：38
|
作者：
Ren, Jingzheng [1 ,2 ]
An, Da [3 ]
Liang, Hanwei [1 ]
Dong, Liang [1 ]
Gao, Zhiqiu [1 ]
Geng, Yong [4 ]
Zhu, Qinghua [5 ]
Song, Shaoxian [6 ]
Zhao, Wenhui [7 ]
机构：
[1] Nanjing Univ Informat Sci & Technol, Sch Geog & Remote Sensing, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China
[2] Univ Southern Denmark, Dept Technol & Innovat, Ctr Sustainable Engn Operat Management, Campusvej 55, DK-5230 Odense M, Denmark
[3] CRAES, Groundwater & Environm Syst Engn Innovat Base, 8 Dayangfang, Beijing 100012, Peoples R China
[4] Shanghai Jiao Tong Univ, Sch Environm Sci & Engn, Shanghai 200030, Peoples R China
[5] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200030, Peoples R China
[6] Wuhan Univ Technol, Sch Resources & Environm Engn, Luoshi Rd 122, Wuhan 430070, Hubei, Peoples R China
[7] Shanghai Univ Elect Power, Sch Econ & Management, Shanghai 200090, Peoples R China
来源：
ENERGY | 2016年 / 103卷
基金：
中国国家自然科学基金;
关键词：
Life cycle; Biofuel supply chain; Uncertainty; Interval number; Programming; LOGISTICS SYSTEM-DESIGN; PROGRAMMING APPROACH; BIOENERGY INDUSTRY; DECISION-MAKING; SUSTAINABILITY; CHINA; BIOMASS; PRIORITIZATION; MANAGEMENT; CONVERSION;
D O I：
10.1016/j.energy.2016.02.151
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
The purpose of this paper is to develop a model for the decision-makers/stakeholders to design biofuel supply chain under uncertainties. Life cycle energy and CO2 emission of biofuel supply chain are employed as the objective functions, multiple feedstocks, multiple transportation modes, multiple sites for building biofuel plants, multiple technologies for biofuel production, and multiple markets for biofuel distribution are considered, and the amount of feedstocks in agricultural system, transportation capacities, yields of crops, and market demands are considered as uncertainty variables in this study. A biobjective interval mix integer programming model has been developed for biofuel supply chain design under uncertainties, and the bio-objective interval programming method has been developed to solve this model. An illustrative case of a multiple-feedstock-bioethanol system has been studied by the proposed method, and the results show that the proposed model can help decision-makers/stakeholders plan and design the biofuel supply chain by proposing feasible solutions to them. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：151 / 166
页数：16
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