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

Abstract

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.

Authors:
 [1];  [1]; ORCiD logo [1];  [1];  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1464451
Report Number(s):
NREL/CP-6A20-71462
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2018 International Energy Workshop, 19-21 June 2018, Gothenburg, Sweden
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; 29 ENERGY PLANNING, POLICY, AND ECONOMY; capacity expansion models; power system planning; storage capacity; grid modeling

Citation Formats

Frew, Bethany A, Cole, Wesley J, Vincent, Nina M, Reimers, Andrew, and Margolis, Robert M. Impact of Dynamic Storage Capacity Valuation in Capacity Expansion Models: Preprint. United States: N. p., 2018. Web.
Frew, Bethany A, Cole, Wesley J, Vincent, Nina M, Reimers, Andrew, & Margolis, Robert M. Impact of Dynamic Storage Capacity Valuation in Capacity Expansion Models: Preprint. United States.
Frew, Bethany A, Cole, Wesley J, Vincent, Nina M, Reimers, Andrew, and Margolis, Robert M. Tue . "Impact of Dynamic Storage Capacity Valuation in Capacity Expansion Models: Preprint". United States. https://www.osti.gov/servlets/purl/1464451.
@article{osti_1464451,
title = {Impact of Dynamic Storage Capacity Valuation in Capacity Expansion Models: Preprint},
author = {Frew, Bethany A and Cole, Wesley J and Vincent, Nina M and Reimers, Andrew and Margolis, Robert M},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {8}
}

Conference:
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