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Optimal timing and capacity choice under the rate-of-return renewable energy support

This 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...

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Detalles Bibliográficos
Autores principales: Kozlova, Mariia, Fleten, Stein-Erik, Hagspiel, Verena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078359/
https://www.ncbi.nlm.nih.gov/pubmed/32195143
http://dx.doi.org/10.1016/j.mex.2020.100828
Descripción
Sumario:This 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.