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  • 标题:Evaluation of Renewable Energy Project by Risk Sensitive Value Measure Method
  • 本地全文:下载
  • 作者:Hajime Miyauchi ; Daigo Yoshimoto ; Takahiro Koga
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:12201-12206
  • DOI:10.1016/j.ifacol.2020.12.1080
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractDue to the uncertainty of electric power price and output of renewable energies, investors for renewable energies are facing large risks. To estimate the project, Net Present value (NPV) is well employed, however, NPV cannot evaluate risk correctly because it evaluates only the expected value of future cash flow. We have proposed a new evaluation method using Risk Sensitive Value Measure (RSVM) and it is applied to thermal power plant project. In this paper, we present the evaluation of the renewable energy project by RSVM. By using RSVM, the optimum and the maximum investment for renewable energy project is obtained.
  • 关键词:KeywordsRenewable energy systemsProject selectionRiskNet present valueProbability distributionRisk sensitive value measureExpected utility theory
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