A two-stage inexact-stochastic programming model for planning carbon dioxide emission trading under uncertainty

被引：95

作者：

Chen, W. T. ^{[2
]}

Li, Y. P. ^{[1
]}

Huang, G. H. ^{[3
]}

Chen, X. ^{[4
]}

Li, Y. F. ^{[2
]}

机构：

[1] Peking Univ, Lab Earth Surface Proc, Coll Urban & Environm Sci, Beijing 100871, Peoples R China

[2] N China Elect Power Univ, Energy & Environm Res Ctr, Beijing 102206, Peoples R China

[3] Univ Regina, Environm Syst Engn Program, Fac Engn, Regina, SK S4S 0A2, Canada

[4] Chinese Acad Sci, Key Lab Oasis Ecol & Desert Environm, Xinjiang Inst Ecol & Geog, Urumqi 830011, Xinjiang, Peoples R China

来源：

APPLIED ENERGY | 2010年 / 87卷 / 03期

关键词：

Carbon dioxide; Energy; Interval programming; Stochastic; Two-stage; Trading; Uncertainty; SOLID-WASTE MANAGEMENT; WATER-RESOURCES MANAGEMENT; CLIMATE-CHANGE IMPACT; DYNAMIC OPTIMIZATION; SYSTEMS; POLICY; GENERATION;

D O I：

10.1016/j.apenergy.2009.09.016

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this study, a two-stage inexact-stochastic programming (TISP) method is developed for planning carbon dioxide (CO2) emission trading under uncertainty. The developed TISP incorporates techniques of interval-parameter programming (IPP) and two-stage stochastic programming (TSP) within a general optimization framework. The TISP can not only tackle uncertainties expressed as probabilistic distributions and discrete intervals, but also provide an effective linkage between the pre-regulated greenhouse gas (GHG) management policies and the associated economic implications. The developed method is applied to a case study of energy systems and CO2 emission trading planning under uncertainty. The results indicate that reasonable solutions have been generated. They can be used for generating decision alternatives and thus help decision makers identify desired GHG abatement policies under various economic and system-reliability constraints. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1033 / 1047

页数：15

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