Modeled Utility-Scale Solar+Storage Operations 2020-2024
In this project, we model optimized hourly dispatch under energy, capacity, and ancillary-service market opportunities using a linear optimizer with perfect price and generation foresight and are sharing the hourly solar and storage generation profiles for our sample here using the base scenario.
Large-scale (1MW+) co-located solar and battery storage projects are expanding rapidly in the United States, but their realized contribution to the bulk power system remains poorly understood because public project-level operating data are limited. The Lawrence Berkeley National Laboratory estimates the wholesale market value of 280 operational photovoltaic-plus-storage (PV+S) projects across the seven ISOs/RTOs and 19 additional balancing authorities, representing roughly 95% of the U.S. PV+S fleet in 2024.
In the full briefing compare the modeled optimized wholesale market value with the value of standalone PV, project-specific levelized cost estimates, and empirical operating or revenue data where available. Under optimized dispatch with perfect price foresight, adding batteries could have increased the national generation-weighted market value of solar from $29/MWh to $75/MWh in 2024, primarily through higher capacity value, followed by ancillary-service and energy shifting revenue. For projects with available cost data, optimized PV+S market value exceeded levelized generation cost by nearly $35/MWh from 2020-2024 when accounting for tax credits. Empirical operations of 51 projects captured substantial but incomplete value: in 2024, observed PV+S operations realized $39/MWh, or 62% of modeled optimized value, with the storage premium reaching only 38% of its optimized potential.
The gap between optimized and empirical value reflects multiple barriers that prevent projects from offering their full value to the bulk power system, including: limited participation in wholesale markets such as ancillary services that remain lucrative in some regions; tax-driven grid-charging restrictions for older projects; simplistic rule-based dispatch (charge in the middle of the day and discharge in the evening); imperfect price and generation forecasting; weak or missing price signals in non-ISO regions; and dispatch incentives tied to contracts or state programs rather than bulk-system value. These findings suggest that PV+S can be cost-effective from a wholesale-market perspective, but that improved market participation, forecasting, and alignment of operational incentives are needed for projects to realize their full system value proposition.
Citation Formats
TY - DATA
AB - In this project, we model optimized hourly dispatch under energy, capacity, and ancillary-service market opportunities using a linear optimizer with perfect price and generation foresight and are sharing the hourly solar and storage generation profiles for our sample here using the base scenario.
Large-scale (1MW+) co-located solar and battery storage projects are expanding rapidly in the United States, but their realized contribution to the bulk power system remains poorly understood because public project-level operating data are limited. The Lawrence Berkeley National Laboratory estimates the wholesale market value of 280 operational photovoltaic-plus-storage (PV+S) projects across the seven ISOs/RTOs and 19 additional balancing authorities, representing roughly 95% of the U.S. PV+S fleet in 2024.
In the full briefing compare the modeled optimized wholesale market value with the value of standalone PV, project-specific levelized cost estimates, and empirical operating or revenue data where available. Under optimized dispatch with perfect price foresight, adding batteries could have increased the national generation-weighted market value of solar from $29/MWh to $75/MWh in 2024, primarily through higher capacity value, followed by ancillary-service and energy shifting revenue. For projects with available cost data, optimized PV+S market value exceeded levelized generation cost by nearly $35/MWh from 2020-2024 when accounting for tax credits. Empirical operations of 51 projects captured substantial but incomplete value: in 2024, observed PV+S operations realized $39/MWh, or 62% of modeled optimized value, with the storage premium reaching only 38% of its optimized potential.
The gap between optimized and empirical value reflects multiple barriers that prevent projects from offering their full value to the bulk power system, including: limited participation in wholesale markets such as ancillary services that remain lucrative in some regions; tax-driven grid-charging restrictions for older projects; simplistic rule-based dispatch (charge in the middle of the day and discharge in the evening); imperfect price and generation forecasting; weak or missing price signals in non-ISO regions; and dispatch incentives tied to contracts or state programs rather than bulk-system value. These findings suggest that PV+S can be cost-effective from a wholesale-market perspective, but that improved market participation, forecasting, and alignment of operational incentives are needed for projects to realize their full system value proposition.
AU - Seel, Joachim
A2 - Julie Mulvaney Kemp, Julie
A3 - Cheyette, Anna
A4 - Gorman, Will
A5 - Chuang, Jessalyn
A6 - Millstein, Dev
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Laboratory of the Rockies
DO -
KW - solar
KW - storage
KW - PV
KW - batteries
KW - operations
KW - wholesale markets
KW - energy value
KW - capacity value
KW - ancillary services
KW - data
KW - model
KW - optimization
KW - energy
KW - capacity
KW - market
KW - linear optimizer
KW - price
KW - generation
KW - hourly solar
KW - generation profiles
KW - United States
KW - LBNL
KW - PVS
LA - English
DA - 2026/05/12
PY - 2026
PB - Lawrence Berkeley National Lab
T1 - Modeled Utility-Scale Solar+Storage Operations 2020-2024
UR - https://data.openei.org/submissions/8687
ER -
Seel, Joachim, et al. Modeled Utility-Scale Solar+Storage Operations 2020-2024. Lawrence Berkeley National Lab, 12 May, 2026, Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/8687.
Seel, J., Julie Mulvaney Kemp, J., Cheyette, A., Gorman, W., Chuang, J., & Millstein, D. (2026). Modeled Utility-Scale Solar+Storage Operations 2020-2024. [Data set]. Open Energy Data Initiative (OEDI). Lawrence Berkeley National Lab. https://data.openei.org/submissions/8687
Seel, Joachim, Julie Julie Mulvaney Kemp, Anna Cheyette, Will Gorman, Jessalyn Chuang, and Dev Millstein. Modeled Utility-Scale Solar+Storage Operations 2020-2024. Lawrence Berkeley National Lab, May, 12, 2026. Distributed by Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/8687
@misc{OEDI_Dataset_8687,
title = {Modeled Utility-Scale Solar+Storage Operations 2020-2024},
author = {Seel, Joachim and Julie Mulvaney Kemp, Julie and Cheyette, Anna and Gorman, Will and Chuang, Jessalyn and Millstein, Dev},
abstractNote = {In this project, we model optimized hourly dispatch under energy, capacity, and ancillary-service market opportunities using a linear optimizer with perfect price and generation foresight and are sharing the hourly solar and storage generation profiles for our sample here using the base scenario.
Large-scale (1MW+) co-located solar and battery storage projects are expanding rapidly in the United States, but their realized contribution to the bulk power system remains poorly understood because public project-level operating data are limited. The Lawrence Berkeley National Laboratory estimates the wholesale market value of 280 operational photovoltaic-plus-storage (PV+S) projects across the seven ISOs/RTOs and 19 additional balancing authorities, representing roughly 95\% of the U.S. PV+S fleet in 2024.
In the full briefing compare the modeled optimized wholesale market value with the value of standalone PV, project-specific levelized cost estimates, and empirical operating or revenue data where available. Under optimized dispatch with perfect price foresight, adding batteries could have increased the national generation-weighted market value of solar from $29/MWh to $75/MWh in 2024, primarily through higher capacity value, followed by ancillary-service and energy shifting revenue. For projects with available cost data, optimized PV+S market value exceeded levelized generation cost by nearly $35/MWh from 2020-2024 when accounting for tax credits. Empirical operations of 51 projects captured substantial but incomplete value: in 2024, observed PV+S operations realized $39/MWh, or 62\% of modeled optimized value, with the storage premium reaching only 38\% of its optimized potential.
The gap between optimized and empirical value reflects multiple barriers that prevent projects from offering their full value to the bulk power system, including: limited participation in wholesale markets such as ancillary services that remain lucrative in some regions; tax-driven grid-charging restrictions for older projects; simplistic rule-based dispatch (charge in the middle of the day and discharge in the evening); imperfect price and generation forecasting; weak or missing price signals in non-ISO regions; and dispatch incentives tied to contracts or state programs rather than bulk-system value. These findings suggest that PV+S can be cost-effective from a wholesale-market perspective, but that improved market participation, forecasting, and alignment of operational incentives are needed for projects to realize their full system value proposition. },
url = {https://data.openei.org/submissions/8687},
year = {2026},
howpublished = {Open Energy Data Initiative (OEDI), Lawrence Berkeley National Lab, https://data.openei.org/submissions/8687},
note = {Accessed: 2026-07-07}
}
Details
Data from May 12, 2026
Last updated May 14, 2026
Submitted May 12, 2026
Organization
Lawrence Berkeley National Lab
Contact
Joachim Seel
510.486.5087
Authors
Research Areas
Keywords
solar, storage, PV, batteries, operations, wholesale markets, energy value, capacity value, ancillary services, data, model, optimization, energy, capacity, market, linear optimizer, price, generation, hourly solar, generation profiles, United States, LBNL, PVSDOE Project Details
Project Name Identifying Barriers to Solar and Storage Hybrids
Project Number 52952

