An inexact two-stage stochastic energy systems planning model for managing greenhouse gas emission at a municipal level

被引：39
|
作者：
Lin, Q. G. [2 ]
Huang, G. H. [1 ,3 ]
机构：
[1] Univ Regina, Ctr Energy & Environm Studies, Fac Engn, Regina, SK S4S 0A2, Canada
[2] Univ Regina, Environm Canada, Adaptat & Impacts Res Grp, Regina, SK S4S 0A2, Canada
[3] N China Elect Power Univ, China Canada Energy & Environm Res Ctr, Beijing 102206, Peoples R China
来源：
ENERGY | 2010年 / 35卷 / 05期
关键词：
Climate change; Municipal energy systems; GHG emission; Two-stage optimization; Uncertainty; PROGRAMMING-MODEL; LINEAR-PROGRAMS; UNCERTAINTY; MANAGEMENT; OPTIMIZATION; GROWTH; CITY;
D O I：
10.1016/j.energy.2010.01.042
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Energy management systems are highly complicated with greenhouse-gas emission reduction issues and a variety of social, economic, political, environmental and technical factors. To address such complexities, municipal energy systems planning models are desired as they can take account of these factors and their interactions within municipal energy management systems. This research is to develop an interval-parameter two-stage stochastic municipal energy systems planning model (ITS-MEM) for supporting decisions of energy systems planning and GHG (greenhouse gases) emission management at a municipal level. ITS-MEM is then applied to a case study. The results indicated that the developed model was capable of supporting municipal energy systems planning and environmental management under uncertainty. Solutions of ITS-MEM would provide an effective linkage between the pre-regulated environmental policies (GHG-emission reduction targets) and the associated economic implications (GHG-emission credit trading). (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2270 / 2280
页数：11
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