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
A2 - Cole
A3 - Gagnon
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
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, 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.nrel.gov/submissions/250.
Pham, Cole, & Gagnon. (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.nrel.gov/submissions/250
Pham, Cole, and 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.nrel.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 and Cole and Gagnon},
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.nrel.gov/submissions/250},
year = {2024},
howpublished = {NREL, Accelerated Deployment and Decision Support Center, https://data.nrel.gov/submissions/250},
note = {Accessed: 2025-05-24}
}
Details
Data from Oct 14, 2024
Last updated Jan 15, 2025
Submitted Oct 14, 2024
Organization
Accelerated Deployment and Decision Support Center
Contact
An Pham
Authors
Pham
National Renewable Energy LaboratoryCole
National Renewable Energy LaboratoryGagnon
National Renewable Energy LaboratoryOriginal Source
https://data.nrel.gov/submissions/250Research Areas
Keywords
ReEDS, renewable energyDOE Project Details
Project Number DE-AC36-08GO28308
