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Average and Marginal Capacity Credits of Renewable Energy and Battery Storage in the United States Power System

Publicly accessible License 

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 -
Export Citation to RIS
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: 2025-05-04} }

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 Laboratory

Cole

National Renewable Energy Laboratory

Gagnon

National Renewable Energy Laboratory

DOE Project Details

Project Number DE-AC36-08GO28308

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