• DocumentCode
    976007
  • Title

    Impact of electric vehicles on select air pollutants: a comprehensive model

  • Author

    KeKoster, D.R. ; Morrow, Kevin P. ; Schaub, Diane A. ; Hubele, Norma E.

  • Author_Institution
    COBE Cardiovascular Inc., Arvada, CO, USA
  • Volume
    10
  • Issue
    3
  • fYear
    1995
  • fDate
    8/1/1995 12:00:00 AM
  • Firstpage
    1383
  • Lastpage
    1388
  • Abstract
    The modeling methodology and sample results of a comprehensive investigation into the impact of electric vehicles (EVs) on the Maricopa County Nonattainment Area is given. The proposed model includes submodels of power plants using simulation techniques to produce unit commitment schedules. Scenario analysis was employed to address the inherent uncertainty involved in modeling rapidly changing technology. Two well-articulated scenarios postulated EV penetration rates, performance characteristics and load requirements. The proposed model provides estimates of the change in pollutant levels. The pollutants examined in this research are: hydrocarbons, carbon monoxide, carbon dioxide, nitrogen dioxide, sulfur dioxide, and particulate matter under 10 microns. The value of the research described here lies in the comprehensiveness of the model and the depiction of the sensitivity of the conclusions to the altering of the value of the model inputs
  • Keywords
    air pollution; air pollution control; carbon compounds; electric vehicles; nitrogen compounds; scheduling; simulation; sulphur compounds; thermal power stations; CO; CO2; Maricopa County Nonattainment Area; NO2; SO2; air pollutants; carbon dioxide; carbon monoxide; electric vehicles; hydrocarbons; load requirements; nitrogen dioxide; particulate matter; performance characteristics; pollutant levels; power plant submodels; simulation techniques; sulfur dioxide; unit commitment schedules; Air pollution; Atmospheric modeling; Batteries; Carbon dioxide; Electric vehicles; Hydrocarbons; Load modeling; Nitrogen; Predictive models; Production;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.466514
  • Filename
    466514