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

页码：594 / 606

页数：13

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