• DocumentCode
    1792177
  • Title

    Photovoltaic power generation projects investment risk analysis in Guizhou Province, China

  • Author

    Liu Jun ; Xiao Yong ; Huarong Zeng ; Xiankui Wen ; Shijun Chen ; Peng Zeng

  • Author_Institution
    Guizhou Electr. Power Testing & Res. Inst., Guiyang, China
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    1411
  • Lastpage
    1415
  • Abstract
    In the new electricity market environment, PV project investment faces more investment risks. In order to guarantee the supply of electricity effectively and reduce carbon dioxide emissions, it needs the relevant government departments to guide investors to invest in clean energy generation projects with appropriate policies. Based on real options theory, this paper develops a investment decision-model and a risk assessment framework for PV power generation projects in China. In the case of grid-connected PV generation demonstration project, this paper carry out investment decision simulation from the uncertainty of investment cost. The simulation results show that the model can provide investors an investment reference. Meanwhile, it can be used as quantitative analysis tools for policy makers to make a reasonable investment policy.
  • Keywords
    investment; photovoltaic power systems; power generation economics; risk management; China; Guizhou Province; PV power generation projects; electricity market environment; grid-connected PV generation demonstration project; investment cost uncertainty; investment decision simulation; investment decision-model; investment policy; photovoltaic power generation projects investment risk analysis; risk assessment framework; Binary trees; Decision making; Investment; Photovoltaic systems; Uncertainty; Photovoltaic Power Generation; Real Options; Risk Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4799-3978-7
  • Type

    conf

  • DOI
    10.1109/ICMA.2014.6885906
  • Filename
    6885906