Average and Marginal Capacity Credits of Renewable Energy and Battery Storage in the United States Power System
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This dataset contains capacity credit values of solar PV, onshore and offshore wind, and 4-hour and 8-hour battery storage at the ReEDS' BA region resolution. The dataset is an output of the 2023 Standard Scenarios, generated using the Regional Energy Deployment System (ReEDS) model.
Citation Formats
TY - DATA
AB - This dataset contains capacity credit values of solar PV, onshore and offshore wind, and 4-hour and 8-hour battery storage at the ReEDS' BA region resolution. The dataset is an output of the 2023 Standard Scenarios, generated using the Regional Energy Deployment System (ReEDS) model.
AU - Pham, An
A2 - Cole, Wesley
A3 - Gagnon, Pieter
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Laboratory of the Rockies
DO -
KW - ReEDS
KW - renewable energy
LA - English
DA - 2024/10/14
PY - 2024
PB - Accelerated Deployment and Decision Support Center
T1 - Average and Marginal Capacity Credits of Renewable Energy and Battery Storage in the United States Power System
UR - https://data.openei.org/submissions/8296
ER -
Pham, An, et al. Average and Marginal Capacity Credits of Renewable Energy and Battery Storage in the United States Power System. Accelerated Deployment and Decision Support Center, 14 October, 2024, NREL. https://data.nlr.gov/submissions/250.
Pham, A., Cole, W., & Gagnon, P. (2024). Average and Marginal Capacity Credits of Renewable Energy and Battery Storage in the United States Power System. [Data set]. NREL. Accelerated Deployment and Decision Support Center. https://data.nlr.gov/submissions/250
Pham, An, Wesley Cole, and Pieter Gagnon. Average and Marginal Capacity Credits of Renewable Energy and Battery Storage in the United States Power System. Accelerated Deployment and Decision Support Center, October, 14, 2024. Distributed by NREL. https://data.nlr.gov/submissions/250
@misc{OEDI_Dataset_8296,
title = {Average and Marginal Capacity Credits of Renewable Energy and Battery Storage in the United States Power System},
author = {Pham, An and Cole, Wesley and Gagnon, Pieter},
abstractNote = {This dataset contains capacity credit values of solar PV, onshore and offshore wind, and 4-hour and 8-hour battery storage at the ReEDS' BA region resolution. The dataset is an output of the 2023 Standard Scenarios, generated using the Regional Energy Deployment System (ReEDS) model.},
url = {https://data.nlr.gov/submissions/250},
year = {2024},
howpublished = {NREL, Accelerated Deployment and Decision Support Center, https://data.nlr.gov/submissions/250},
note = {Accessed: 2026-08-19}
}
Details
Data from Oct 14, 2024
Last updated Mar 12, 2026
Submitted Oct 14, 2024
Organization
Accelerated Deployment and Decision Support Center
Contact
An Pham
Authors
An Pham
National Renewable Energy LaboratoryWesley Cole
National Renewable Energy LaboratoryPieter Gagnon
National Renewable Energy LaboratoryOriginal Source
https://data.nlr.gov/submissions/250Research Areas
Keywords
ReEDS, renewable energyDOE Project Details
Project Number DE-AC36-08GO28308
