Macro-Economic Multi-Objective Input-Output Model for Minimizing CO2 Emissions: Application to the US Economy

被引:22
作者
Pascual-Gonzalez, Janire [1 ]
Jimenez-Esteller, Laureano [1 ]
Guillen-Gosalbez, Gonzalo [1 ,2 ]
Siirola, Jeffrey J. [3 ]
Grossmann, Ignacio E. [3 ]
机构
[1] Univ Rovira & Virgili, Dept Engn Quim, Escola Tecn Super Engn Quim, Campus Sescelades,Avinguda Paisos Catalans 26, E-43007 Tarragona, Spain
[2] Imperial Coll, CPSE, London SW7 2AZ, England
[3] Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 USA
关键词
input-output analysis; multi-objective optimization; linear programming; global warming potential; INTERNATIONAL-TRADE; ENERGY; CARBON; IMPACT;
D O I
10.1002/aic.15376
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Designing effective environmental policies for mitigating global warming is a very challenging task that requires detailed knowledge of the international channels through which goods are traded. This work presents a decision-support tool that minimizes the environmental impact at a global macroeconomic scale by performing changes in the economic sectors of an economy. Our tool combines multi-objective optimization, environmentally extended input-output tables and life cycle assessment within a unified framework. Our results on the U.S. economy to minimize CO2 emissions identify sectors that should be regulated first to reach a given environmental target while maximizing the demand satisfaction. The impact of shale gas on our results is also studied. Our findings show that the application of process systems engineering tools at a macroeconomic level can provide valuable insight for public policy makers into problems of general interest. (C) 2016 American Institute of Chemical Engineers AIChE J, 62: 3639-3656, 2016
引用
收藏
页码:3639 / 3656
页数:18
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