• 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