A Stochastic Mixed-Integer Programming approach to the energy-technology management problem

被引：13
|
作者：
Stoyan, Stephen J. [1 ]
Dessouky, Maged M. [1 ]
机构：
[1] Univ So Calif, Daniel J Epstein Dept Ind & Syst Engn, Los Angeles, CA 90089 USA
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 2012年 / 63卷 / 03期
关键词：
Clean energy; Two-stage; Scenario; Stochastic programming; Mixed-Integer Programming; CONSTRAINED PORTFOLIO OPTIMIZATION; DISTRIBUTED GENERATION; INDEX TRACKING; SYSTEMS; OPERATION; BENEFITS; MARKETS; MARKAL; MODEL;
D O I：
10.1016/j.cie.2011.07.012
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
As the development and population of North America continues to grow, the demand for environmentally friendly or clean energy generation is becoming more of an issue. We present a model that addresses the energy technologies that may continue to be used and new clean energy technologies that should be introduced in energy generation. The approach involves a Stochastic Mixed-Integer Program (SMIP) that minimizes cost and emission levels associated with energy generation while meeting energy demands of a given region. The results provide encouraging outcomes with respect to cost, emission levels, and energy-technologies that should be utilized for future generation. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：594 / 606
页数：13
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