Clean energy investment scenarios using the Bayesian network

被引：10
|
作者：
Daim, Tugrul [1 ]
Kayakutlu, Gulgun [2 ]
Suharto, Yulianto [1 ]
Bayram, Andyagmur [2 ]
机构：
[1] Portland State Univ, Dept Engn & Technol Management, Portland, OR USA
[2] Istanbul Tech Univ, Dept Ind Engn, Istanbul, Turkey
来源：
INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY | 2014年 / 33卷 / 02期
关键词：
Bayes network; clean energy; scenario analysis;
D O I：
10.1080/14786451.2012.744311
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：
Clean energy investment decisions are getting more difficult to make due to public reactions. In order to support the policies in the field, analysis of the positive conditions is needed. This research aims to construct the positive scenarios for nuclear energy and renewable energy investments in the state of Oregon, USA. The Bayesian network technique will be used to create the scenarios. Oregon has a wide range of renewable energies; hence, investment is becoming more complex. Criteria affecting the decisions are taken from the literature, but were reviewed with energy authorities in Oregon in order to define the interactions.
引用
收藏
页码：400 / 415
页数：16
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