Modeling the Potential Impact of Storage on the US Power Sector in a Multisector Dynamic Context

Patel, Pralit L.; Binsted, Matthew T.; Wise, Marshall A.; Chadsey, Roan; Iyer, Gokul C. (ORCID:0000000235657526); Kim, Son H.; Ou, Yang (ORCID:0000000218896218); Mongird, Kendall

doi:10.1016/j.esr.2026.102345

DOE OSTI · 3607611

Modeling the Potential Impact of Storage on the US Power Sector in a Multisector Dynamic Context

Patel, Pralit L.·Binsted, Matthew T.·Wise, Marshall A.·Chadsey, Roan·Iyer, Gokul C. (ORCID:0000000235657526)·Kim, Son H.·Ou, Yang (ORCID:0000000218896218)·Mongird, Kendall

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Abstract

The electric power sector is expected to grow in size, importance, and complexity around the world as economies expand and electric supply technologies and demand patterns evolve in significant ways. At the same time the electric power sector may see substantial increases in VRE generating technologies which can add variability and uncertainty to the diurnal and seasonal profile of electric supply. With these forces in play, the emergence of modular, flexible electricity storage technologies may have profound impacts on the operation of electric power systems. Here we reduce a storage modeling gap in MSD models by incorporating grid-based electricity storage into the electric sector dynamics of the Global Change Analysis Model-USA (GCAM-USA) with improved power sector representation. We find a potentially significant role for storage technologies in the future of the U.S. power system, with storage capacity ranging from 7.7 to 14.7 GW in 2050 and 13.9 to 31.6 GW in 2100 across several techno-economic scenarios. We also find that storage can help to smooth variability in residual load arising from evolving electricity demands and the introduction of high shares of VRE to the electric grid. This reduces reliance on high-cost peaking generators, improves system-wide capacity factors, and limits curtailment of VRE.

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Patel, Pralit L., Binsted, Matthew T., Wise, Marshall A., Chadsey, Roan, Iyer, Gokul C. (ORCID:0000000235657526), Kim, Son H., Ou, Yang (ORCID:0000000218896218), Mongird, Kendall. 2026-09-01. Modeling the Potential Impact of Storage on the US Power Sector in a Multisector Dynamic Context. https://doi.org/10.1016/j.esr.2026.102345

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