Data Envelopment Analysis of the Renewable Energy Sources

被引:0
|
作者
Seknickova, Jana [1 ]
机构
[1] Univ Econ Prague, Dept Econometr, W Churchill Sq 4, Prague 3, Czech Republic
来源
MATHEMATICAL METHODS IN ECONOMICS (MME 2017) | 2017年
关键词
Renewable energy sources; DEA models; Photovoltaic power station; DECISION-MAKING UNITS; EFFICIENCY;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
The most of energy demand is covered by the usage of fossil fuels at the present time and so these sources are relatively quickly mined. That is why the investments into renewable energy sources are higher and higher all the time. There are five real possibilities of renewable energy sources in the Czech Republic - wind power stations, photovoltaic power stations, geothermal power stations, hydroelectric power stations and biomass energy. Although from the multicriteria point of view the photovoltaic power stations are not well evaluated the low investment costs and easy accessibility of suitable lands are strong points of photovoltaic energy and so the number of newly built photovoltaic power stations is huge. In this paper the renewable energy sources are analyzed from multicriteria point of view, especially by using data envelopment analysis because photovoltaic power stations are typical production units. The analysis is based on real data of the photovoltaic power stations built in the Czech Republic.
引用
收藏
页码:644 / 649
页数:6
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