Impact of Dynamic Storage Capacity Valuation in Capacity Expansion Models

Research output: NRELPresentation


This presentation summarizes the motivation and results from the corresponding International Energy Workshop (IEW) conference paper CP-6A20-71462. Both the slide deck and paper discuss the impact of dynamic storage capacity valuation in capacity expansion models (CEMs), which are tools commonly used by power system planners, policymakers, and other stakeholders to inform decisions regarding the buildout of the electric grid. The objective of this analysis is to demonstrate the impact with a CEM of moving from a static storage capacity value (CV) to a curve-fitted approximation that captures the interactions between storage duration, PV penetrations, and storage penetration. We fit and then use those curves to calculate the battery storage CV as a function of the storage duration, storage penetration, and PV penetration. We use the Regional Energy Deployment System (ReEDS) model developed at the National Renewable Energy Laboratory (NREL) to show the impact of this improved storage capacity valuation on deployment. We also provide a curve fit equation for use by other modeling teams. This exogenous, but dynamic, approach is meant to be a first step in improving the representation of storage in CEMs.
Original languageAmerican English
Number of pages19
StatePublished - 2018

Publication series

NamePresented at the 2018 International Energy Workshop, 19-21 June 2018, Gothenburg, Sweden

NREL Publication Number

  • NREL/PR-6A20-71858


  • capacity expansion models
  • grid modeling
  • power system planning
  • solar
  • storage capacity


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