A comprehensive approach to the design of ethanol supply chains including carbon trading effects

被引：110

作者：

Giarola, Sara ^{[1
]}

Shah, Nilay ^{[2
]}

Bezzo, Fabrizio ^{[1
]}

机构：

[1] Univ Padua, Dipartimento Principi & Impianti Ingn Chim, CAPE Lab Comp Aided Proc Engn Lab, I-35131 Padua, Italy

[2] Univ London Imperial Coll Sci Technol & Med, Ctr Proc Syst Engn, London SW7 2AZ, England

来源：

BIORESOURCE TECHNOLOGY | 2012年 / 107卷

关键词：

Bioethanol supply chain; First and second generation; Optimisation; Capacity planning; Uncertainty; LIGNOCELLULOSIC BIOMASS; BIOETHANOL PRODUCTION; OPTIMIZATION; UNCERTAINTY; INDUSTRY; PERFORMANCE; CHALLENGES; NETWORKS; BIOFUELS; SYSTEMS;

D O I：

10.1016/j.biortech.2011.11.090

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

The optimal design of biofuels production systems is a key component in the analysis of the environmental and economic performance of new sustainable transport systems. In this paper a general mixed integer linear programming modelling framework is developed to assess the design and planning of a multi-period and multi-echelon bioethanol upstream supply chain under market uncertainty. The optimisation design process of biofuels production systems aims at selecting the best biomass and technologies options among several alternatives according to economic and environmental (global warming potential) performance. A key feature in the proposed approach is the acknowledgement of an economic value to the overall GHG emissions, which is implemented through an emissions allowances trading scheme. The future Italian biomass-based ethanol production is adopted as a case study. Results show the effectiveness of the model as a decision making-tool to steer long-term decisions and investments. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：175 / 185

页数：11

共 36 条

[1]

[Anonymous], 2006, ISO14040 - Environmental management - Life cycle assessment - Principles and framework, DOI DOI 10.3403/30151316.

[2]

[Anonymous], GAMS USERS GUIDE VER

[3] Detecting instability in the volatility of carbon prices [J].