Impact of Dynamic Storage Capacity Valuation in Capacity Expansion Models: Preprint

Bethany Frew, Wesley Cole, Nina Vincent, Robert Margolis, Andrew Reimers

Research output: Contribution to conferencePaper


This paper looks at 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 pages31
StatePublished - 2018
Event2018 International Energy Workshop - Gothenburg, Sweden
Duration: 19 Jun 201821 Jun 2018


Conference2018 International Energy Workshop
CityGothenburg, Sweden

NREL Publication Number

  • NREL/CP-6A20-71462


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


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