• DocumentCode
    2192282
  • Title

    A dynamic economic model for selecting environmental control technologies

  • Author

    Jin, Kaiyan ; Sanford, Mark ; Vandor, Thomas A.

  • Author_Institution
    GE Power Syst., Schenectady, NY, USA
  • fYear
    2004
  • fDate
    6-10 June 2004
  • Firstpage
    192
  • Abstract
    The environmental protection agency (EPA) will be enforcing the NOx state implementation plan (SIP) call beginning in June 2004. Twenty-one states plus Washington DC are included in the program that will limit emissions during the ozone season. Coal-fired power plants, which emit most of the NOx in this region, are heavily impacted by these new restrictions. Power markets within the eastern interconnect will be affected by emission regulations, with the extent determined by compliance strategies chosen by plant owners. This paper presents a modeling methodology based on economic principles and power market rules to help coal-fired generation owners develop a NOx emission reduction strategy to comply with the SIP call. Applying the model suggests that burner modifications and selective non-catalytic reduction (SNCR) additions should be significant contributors to achieving regional compliance. Over 100 GW of installed coal capacity is determined to benefit from the addition of NOx controls. Additional selective catalytic reductions (SCR) constitute less than 1% of these modifications.
  • Keywords
    air pollution control; environmental management; power generation control; power markets; steam power stations; coal capacity; coal-fired power plant; dynamic economic model; emission reduction strategy; emission regulation; environmental control technologies; environmental protection agency; power market; selective noncatalytic reduction; state implementation plan; Costs; Environmental economics; Fuels; Nuclear power generation; Power generation; Power generation economics; Power markets; Power systems; Protection; Thyristors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2004. IEEE
  • Print_ISBN
    0-7803-8465-2
  • Type

    conf

  • DOI
    10.1109/PES.2004.1372784
  • Filename
    1372784