• DocumentCode
    3364634
  • Title

    Composite Evaluation of Replacing Small Generation Units with Large Ones in the Electricity Sector in China

  • Author

    Jun Dong ; Jing Zhang

  • Author_Institution
    Sch. of Bus. Adm., North China Electr. Power Univ., Beijing
  • fYear
    2008
  • fDate
    4-6 Nov. 2008
  • Firstpage
    195
  • Lastpage
    201
  • Abstract
    This paper applies two methods to evaluate the economic effects of the policy of "replacing small units with large ones (RSWL)," one is Discounted Cash Flow (DCF) method which performs a technology economic analysis both from the financial and the economic perspectives, the other one is to use the Real Option theory to study the lagging investment problem of the big unit. Through an illustrative example, three alternatives of replacing 200 MW units with 600 MW units are compared. The sensitivity analysis is made to evaluate the impact of uncertain factors on the financial and economic indicators of the execution of RSWL. The environmental costs are also taken into account in the comparison and analysis. The proposed methods can aid the decision-making in the implementation of the policy of RSWL from a wider perspective and it can be used to evaluate the economic benefits and costs of the RSWL projects.
  • Keywords
    cost-benefit analysis; decision making; environmental economics; power generation economics; sensitivity analysis; RSWL projects; decision-making; discounted cash flow method; electricity sector; environmental costs; lagging investment problem; power 600 MW; real option theory; sensitivity analysis; small generation units evaluation; technology economic analysis; Costs; Decision making; Economic indicators; Environmental economics; Investments; Performance analysis; Performance evaluation; Power generation; Power system economics; Sensitivity analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Risk Management & Engineering Management, 2008. ICRMEM '08. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3402-2
  • Type

    conf

  • DOI
    10.1109/ICRMEM.2008.59
  • Filename
    4673225