• DocumentCode
    1755665
  • Title

    Emission mitigation with short-term wind statistics

  • Author

    Xian Liu

  • Author_Institution
    Dept. of Syst. Eng., Univ. of Arkansas at Little Rock, Little Rock, AR, USA
  • Volume
    8
  • Issue
    5
  • fYear
    2014
  • fDate
    41821
  • Firstpage
    522
  • Lastpage
    528
  • Abstract
    In electricity generation, one of the direct benefits of exploiting wind energy is reducing the atmospheric emissions due to using conventional fuels. An emission mitigation model for oxides of nitrogen has been developed with short-term wind statistics, based on the Beta distribution. The probability infeasibility of random wind behaviour is taken into account. An optimisation model, based on economic dispatch models, is developed to minimise the impact caused by the oxides of nitrogen emissions.
  • Keywords
    air pollution control; nitrogen compounds; optimisation; power generation dispatch; power generation economics; random processes; statistical distributions; wind power; Beta distribution; NOx; atmospheric emission reduction; economic dispatch model; electricity generation; emission mitigation model; optimisation model; probability; random wind behaviour; wind energy; wind statistics;
  • fLanguage
    English
  • Journal_Title
    Renewable Power Generation, IET
  • Publisher
    iet
  • ISSN
    1752-1416
  • Type

    jour

  • DOI
    10.1049/iet-rpg.2012.0310
  • Filename
    6852017