• DocumentCode
    2381138
  • Title

    Trade-off analysis of CO2 versus cost by multi-objective unit commitment

  • Author

    Yamashita, D. ; Niimura, T. ; Yokoyama, R. ; Marmiroli, M.

  • Author_Institution
    Dept. of Environ. & Energy Eng., Waseda Univ., Tokyo, Japan
  • fYear
    2010
  • fDate
    25-29 July 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In response to the Kyoto protocol, the European Union (EU) introduced the Emission Trading Scheme (ETS), which adopts `cap-and-trade´ market mechanism for CO2 emission trading. In this scheme, the emission allowances are allocated to each industrial installation and companies can buy and sell their allowances. In the electric power sector, the development of decision-making methods concerning emission trading is becoming increasingly important. For this reason, we focus our attention on the trade-off analysis between CO2 and cost for the unit commitment problem. The marginal cost of CO2 reduction can be obtained when the combination of generators and the fuel prices are decided. In this paper, we present an approach of trade-off analysis between CO2 emission and cost for unit commitment problem, which is based on the decommitment procedure of unit commitment to obtain Pareto-optimal curves of cost versus CO2 emission. The method is tested on the 10-unit 24-hour model.
  • Keywords
    Pareto optimisation; air pollution control; carbon compounds; government policies; power generation dispatch; power generation scheduling; CO2; Kyoto protocol; Pareto-optimal curves; cap-and-trade market mechanism; decision-making; emission trading scheme; fuel prices; multi-objective unit commitment; trade-off analysis; CO2 emission; Paretooptimal curves; emissions trading; multi-objective optimization; trade-off analysis; unit commitment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2010 IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-6549-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2010.5589664
  • Filename
    5589664