DocumentCode
2082677
Title
Environmental and Cost Efficiency Analysis of Electric Power Generation Using DEA-MB Model
Author
Li Qin ; Cao Siying
Author_Institution
North China Electr. Power Univ., Beijing, China
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
This paper applies a data envelopment analysis procedure that incorporates the Mass Balance to estimate the allocations of coal, gas and oil inputs that minimize carbon emissions and costs. Findings for our three-input(coal, gas and oil) sample show that there would be a 79% increase in cost for moving from the cost efficient point to the carbon efficient point, while there would be a 38% increase in carbon for moving from the carbon efficient point to the cost efficient point. These conclusions indicate that, in general, the gap between efficient cost and efficient environmental production is wide, and would require substantial policy intervention or market adjustment before it could be narrowed. The paper also extends the application of the data envelopment analysis-mass balance (DEA-MB) methodology by illustrating how the procedure can be used to identify the consequences of specific decisions for individual plants. The methodology for detailed plant analysis that offers enhanced analytical decision-making at the individual plant level for regulators and managements.
Keywords
coal; data envelopment analysis; decision making; emission; energy conservation; environmental factors; oils; power generation economics; power generation planning; thermal power stations; analytical decision making; carbon emissions; coal allocations; cost efficiency analysis; data envelopment analysis; electric power generation; environmental analysis; gas allocations; mass balance; oil allocations; plant analysis; Carbon dioxide; Costs; Data envelopment analysis; Decision making; Environmental economics; Fuel economy; Pollution measurement; Power generation; Power generation economics; Production;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4638-4
Electronic_ISBN
978-1-4244-4639-1
Type
conf
DOI
10.1109/ICMSS.2009.5301389
Filename
5301389
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