Impact of local factors on decision making - a multi criteria modelling framework in wind energy investment

被引:1
|
作者
Jain, Rahi [1 ]
Panse, Riddhi [2 ]
Mishra, Satanand [3 ]
机构
[1] Indian Inst Technol, Ctr Technol Alternat Rural Areas, Bombay 400076, Maharashtra, India
[2] Indian Inst Technol, Shailesh J Mehta Sch Management, Bombay 400076, Maharashtra, India
[3] Adv Mat & Proc Res Inst, Bhopal 462024, India
来源
CURRENT SCIENCE | 2018年 / 114卷 / 12期
关键词
Agricultural hierarchy process; renewable energy; wind portal; wind power plant; TECHNOLOGY;
D O I
10.18520/cs/v114/i12/2467-2472
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Wind power is an important renewable energy generation technology, but the location of wind potential and wind power plant installation are not in complete sync with each other. Many national, state and local variables other than wind potential play a role in site selection. The weights given to different local variables during wind power investment decisions are not known and are difficult to estimate in data paucity settings in India. Accordingly, this study proposes a framework to estimate the weights given to different local parameters in wind power investment decisions. We use the case study of select districts in Maharashtra, India to test the framework. The investment predictions based on priority of local factors estimated by the proposed approach are in agreement with the actual investment in the wind energy sector.
引用
收藏
页码:2467 / 2472
页数:6
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