• DocumentCode
    466217
  • Title

    Modeling Regional CO2 Control in Energy Production with Cap & Trade Regulation

  • Author

    Oberbeck, Jesse ; Yu, Zuwei ; Rardin, Ron ; Holland, Forrest

  • Author_Institution
    Sch. of Ind. Eng., Purdue Univ., West Lafayette, IN
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes the modeling of CO2 cap & trade among coal power plants. A regional approach is used to include CO2 emission restriction (or cap) and trade in electrical power production. The model accommodates multiple nodes, each with its own demand growth, existing capacity, transmission lines connecting the nodes, and sequestration sites. Technologies for CO2 capture are assumed available to all nodes at the same price tag. Mixed integer programming (MIP) is used: binary variables are used for new construction of either power plants, or transmission, or CO2 pipelines, while continuous variables are used for representing others such as power production, CO2 generation, etc. The objective is to minimize regional cost of meeting nodal demands under assumed CO2 cap & trade regulation and other practical constraints.
  • Keywords
    air pollution control; carbon compounds; climate mitigation; costing; environmental economics; integer programming; thermal power stations; CO2; binary variables; cap & trade regulation system; coal power plants; electrical power production; energy production; mixed integer programming; regional carbon dioxide control; regional cost minimization; sequestration sites; Chemical technology; Costs; Industrial engineering; Joining processes; Power generation; Power system modeling; Power transmission lines; Production; Protocols; US Government; CO2 cap & trade; MIP; Power; coal; demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385788
  • Filename
    4275554