DocumentCode :
2805585
Title :
Reduction of green house gas emission by clean power trading
Author :
Ding, Jinxu ; Somani, Arun
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
fYear :
2010
fDate :
12-16 Sept. 2010
Firstpage :
4588
Lastpage :
4592
Abstract :
It is well known that the CO2 emitted by fossil energy is one of the major reasons that result in global warming. It is still an open question about how to reduce CO2 emission by the implementation of an investment plan for clean power systems. In this paper, we propose a clean power trading method among neighboring regions such that we can reduce CO2 emission in a large region and reduce the imbalance between the power demand and supply in a region caused by the fluctuation of clean energy. With the five states with rich wind energy in America as an example, we use the quantitative computation results of the five states (from a modeling framework designed by ourselves) to show that our proposed clean power trading method can help reduce CO2 emission and realize balance.
Keywords :
air pollution control; global warming; power markets; wind power; carbon dioxide emission; clean power system; clean power trading; fossil energy; global warming; green house gas emission reduction; power demand; power supply; wind energy; Biological system modeling; Computational modeling; Investments; Power demand; Power markets; Wind power generation; CO2 emission; Clean power trading; Energy policy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2010 IEEE
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-5286-6
Electronic_ISBN :
978-1-4244-5287-3
Type :
conf
DOI :
10.1109/ECCE.2010.5618416
Filename :
5618416
Link To Document :
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