• DocumentCode
    3090653
  • Title

    Generation Asset Valuation Under Market Uncertainties

  • Author

    Sun, Erjiang ; Liu, Edwin

  • Author_Institution
    Nexant Inc., San Francisco, CA
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Energy industry deregulation has made generation asset valuation a significant challenge. Billions of dollars have been invested in the acquisition of power generation assets. In order to manage financial risks, market participants require both detailed market structure analyses and efficient valuation methodologies as part of their due diligence processes. This paper introduces the concept of using price-based unit commitment for generation asset valuation, within the framework of Monte Carlo simulations. The method can capture the uncertainties of energy markets as well as complex generation operation characteristics. Functionality requirements of effective software tools for asset valuation are also discussed. Applying the fundamentals of stochastic simulation and generation unit commitment to asset valuation is an essential part of overall portfolio management for energy market participants.
  • Keywords
    Monte Carlo methods; power engineering computing; power generation dispatch; power generation economics; power generation scheduling; power markets; power system management; pricing; risk management; stochastic processes; Monte Carlo simulations; complex generation operation characteristics; due diligence process; energy industry deregulation; financial risk management; generation asset valuation; power market uncertainties; price-based unit commitment; software tools; stochastic simulation; Character generation; Cost accounting; Energy capture; Financial management; Power generation; Risk analysis; Risk management; Software tools; Stochastic processes; Uncertainty; Monte Carlo simulation; asset valuation; deregulation; energy market; price-based unit commitment;
  • 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.2007.385662
  • Filename
    4275271