 A Compound Real Option Approach for Determining the Optimal Investment Path for RPV-Storage SystemsBenjamin Hassi, Tomas Reyes and Enzo Sauma The Energy Journal, 2022, vol. 43, issue 3, 83-104 Abstract: The use of residential Photovoltaic-Storage systems may produce large benefits to owners and has expanded rapidly in recent years. Nonetheless, large uncertainties regarding the profitability of these systems make it necessary to incorporate flexibilities in their economic evaluations. This paper offers a new method to evaluate the compound flexibility of both the option of delaying investments and the option of further expanding the capacity of solar photovoltaic modules and batteries during the investment horizon. Flexibility is modeled as a compound real option, whose value is computed using a novel method that we call Compound Least Squares Monte Carlo (CLSM). The model is applied to the investment decisions associated to a residential Photovoltaic-Storage system. Results suggest that investors should use the proposed CLSM method in the economic valuation of multi-stage projects, since considering only a single flexibility could promote sub-optimal decisions. Moreover, in our case study, we show that it is optimal to break the investment down into two steps or more in 36% of future scenarios, on average. Keywords: Batteries; Least Squares Monte Carlo; Optimal Investment Path; Real Options; RPV-Storage Systems; Solar Power (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:enejou:v:43:y:2022:i:3:p:83-104 DOI: 10.5547/01956574.43.3.bhas Access Statistics for this article More articles in The Energy Journal |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.