• DocumentCode
    3584473
  • Title

    Comparison of power plants competitiveness using stochastic methods

  • Author

    Tomsic, Zeljko ; Feretic, Danilo ; Debrecin, Nenad

  • Author_Institution
    Fac. of Electr. Eng. & Comput., Zagreb Univ., Croatia
  • fYear
    2004
  • Firstpage
    687
  • Lastpage
    691
  • Abstract
    The paper describes the application of a stochastic method for comparing; economic parameters of future electrical power generating systems including conventional and nuclear power plants. The input data for calculation are cost elements defined in the frame of certain limits of expected occurrence with a probability distribution within the limits. The method is applied to establish competitive specific investment costs of future power plants. The main competitors for unlimited electricity production in next few decades are fossil power plants (coal and gas) and nuclear power plants. This paper summarizes the methodology´ and present selected results of the probabilistic analysis of the performance and costs and compare the nuclear power plant, coal and gas fired power plants. Performed analysis shows that future competitive nuclear power plant investment costs (period 2010-2030) are not considerably different from the investment costs achieved for present generation of nuclear power plants.
  • Keywords
    costing; fossil fuels; nuclear power stations; power generation economics; statistical distributions; stochastic processes; coal-gas fired power plants; cost elements; economic parameters; electrical power generating systems; electricity production; fossil power plants; investment costs; levelized costs; nuclear power plants; power plants competitiveness; probability distribution; stochastic methods; Costs; Investments; Nuclear power generation; Performance analysis; Power generation; Power generation economics; Power system economics; Probability distribution; Stochastic processes; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2004 International Conference on
  • Print_ISBN
    0-9761319-1-9
  • Type

    conf

  • Filename
    1378770