• DocumentCode
    2590788
  • Title

    New Renewable Electricity Capacity under Uncertainty: The Potential in Norway

  • Author

    Fleten, S.-E. ; Ringen, G.

  • Author_Institution
    Dept. of Ind. Econ. & Technol. Manage., Norwegian Univ. of Sci. Technol., Trondheim
  • fYear
    2006
  • fDate
    11-15 June 2006
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Uncertainty affecting project values makes investors hesitate to build new capacity unless profitability is significant. When analysing the potential for new renewable capacity in a region, it is therefore necessary to properly capture both uncertainty effects and decision-making behaviour of investors. Important stochastic factors typically include wholesale electricity prices and certificate prices. We calculate trigger levels for the sum of these factors, and compare these with the current long-term contract prices to estimate the potential for new renewable electricity capacity. We take into account the cost and technical potential of small hydro and wind in Norway, the number of prenotifications, concession applications and grants, and the capacity targets of subsidising governmental bodies. With an electricity certificate policy target of 41 TWh per year new renewable for Sweden and Norway combined until 2016, we estimate that 12 TWh windpower and 6.2 TWh hydropower will be built in Norway. Due to the option value of waiting, most of this capacity will come after 2010
  • Keywords
    decision making; hydroelectric power; hydroelectric power stations; power generation economics; pricing; wind power; wind power plants; Norway; Sweden; decision-making; electricity contract pricing; hydropower; investment; renewable electricity generation; stochastic factor; windpower; Capacity planning; Costs; Hydroelectric power generation; Instruments; Investments; Power system analysis computing; Profitability; Stochastic processes; Uncertainty; Wind energy; Finance; Hydroelectric power generation; Power system planning; Stochastic processes; Uncertainty; Wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
  • Conference_Location
    Stockholm
  • Print_ISBN
    978-91-7178-585-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2006.360231
  • Filename
    4202243