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  • 标题:Optimal timing and capacity choice under the rate-of-return renewable energy support
  • 本地全文:下载
  • 作者:Mariia Kozlova ; Stein-Erik Fleten ; Verena Hagspiel
  • 期刊名称:MethodsX
  • 印刷版ISSN:2215-0161
  • 电子版ISSN:2215-0161
  • 出版年度:2020
  • 卷号:7
  • 页码:1-4
  • DOI:10.1016/j.mex.2020.100828
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis article presents a stylized renewable energy (RE) investment project profitability analysis under a rate-of-return RE support type. We use a dynamic programming approach to value the real options. While the method is widely used in RE policy analysis, the rate-of-return support is presented in this framework for the first time. We formulate a stylized RE project under the rate-of-return regulation in the dynamic programming framework and solve for optimal investment timing and project size.•A stylized renewable energy (RE) investment under rate-of-return RE support is presented in the dynamic programming framework;•The system is solved for optimal capacity choice in the presence of the electricity price uncertainty. We also comment on the optimal investment timing, which turns out to be a now-or-never decision in this case.Graphical abstractDisplay Omitted
  • 关键词:Dynamic programming;Real options;Renewable energy policy;Investment timing;Capacity choice
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