DocumentCode
2864540
Title
Circular Economy Assessment for Coal-fired Power Plants Based on Supper-Efficiency DEA Model
Author
Zeng, Shao-lun ; Hu, Hong ; Wang, Wei
Author_Institution
Sch. of Econ. & Manage., Sichuan Univ. of Sci. & Eng., Zigong, China
Volume
1
fYear
2009
fDate
16-18 Oct. 2009
Firstpage
50
Lastpage
54
Abstract
Coal-fired power plants are the main pollution source in most areas of China. The implementation of circular economy in coal-fired power plants is necessary for environmental protection and also an effective way of energy saving and emission reduction. In this paper, we make a survey on major studies of assessment methods and models for circular economy. The relative efficiency of circular economy for coal-fired power plants is evaluated with super-efficiency data envelopment analysis (SE-DEA) model, and the empirical study is carried out with field survey data. The result shows that the assessment model based on SE-DEA not only can be used to evaluate the relative efficiency of circular economy for the coal-fired power plant, but also may be applied to set the benchmark of circular economy implementation and to improve the circular economy performance for the power generation.
Keywords
data envelopment analysis; pollution control; power generation economics; steam power stations; circular economy assessment; coal-fired power plants; emission reduction; energy saving; environmental protection; power generation; super-efficiency data envelopment analysis model; Conference management; Data envelopment analysis; Economic forecasting; Environmental economics; Environmentally friendly manufacturing techniques; Industrial pollution; Power generation; Power generation economics; Power system economics; Protection; circular economy assessment; circular economy improvement; coal-fired power plant; super-efficiency data envelopment analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy and Environment Technology, 2009. ICEET '09. International Conference on
Conference_Location
Guilin, Guangxi
Print_ISBN
978-0-7695-3819-8
Type
conf
DOI
10.1109/ICEET.2009.19
Filename
5366265
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