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
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