2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model
This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provided for 15 weather years covering 2007-2013 and 2016-2023 for all technologies except for CSP, which is only provided for 2007-2013 due to the lack of data covering the latter years.
These data are used as inputs to the ReEDS-2.0 model (see the "ReEDS 2.0 GitHub Repository" resource link below), developed by NREL. The weather profiles apply to any capacity that exists or is built in each region and class. This helps calculate the generation that can be provided using these resources. These data are compatible with ReEDs Version 2025.1 and newer. To run county-level with older versions (2024.0-2024.3), use the data posted with the "Link to Data for Older Versions of ReEDS" resource below.
Open, reference, and limited are 3 scenarios based on land-use allowance, derived from the Renewable Energy Potential (reV) model developed by NREL, which helps generate supply curves for renewable technologies and assess the maximum potential of renewable resources in a designated area. Each zipped file in this dataset corresponds to a technology and contains the respective land-use scenario files required to run that technology in ReEDS.
To use this dataset, download and place the extracted files in the locally cloned ReEDS repository inside one of the folders (inputs/variability/multi_year). After completing this copy, upon running the ReEDS model at the county-level spatial resolution for respective analysis purposes, the program will detect the presence of these files and will not fail.
The data provided here correspond to the 2024 supply curves from the reV model; for details see the "Renewable Energy Technical Potential and Supply Curves for the Contiguous United States - 2024 Edition" resource below. For additional details on the profiles see the README below.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Brian Sergi",
"@type": "vcard:Contact",
"hasEmail": "mailto:bsergi@nrel.gov"
}
|
| dataQuality |
true
|
| description | This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provided for 15 weather years covering 2007-2013 and 2016-2023 for all technologies except for CSP, which is only provided for 2007-2013 due to the lack of data covering the latter years. These data are used as inputs to the ReEDS-2.0 model (see the "ReEDS 2.0 GitHub Repository" resource link below), developed by NREL. The weather profiles apply to any capacity that exists or is built in each region and class. This helps calculate the generation that can be provided using these resources. These data are compatible with ReEDs Version 2025.1 and newer. To run county-level with older versions (2024.0-2024.3), use the data posted with the "Link to Data for Older Versions of ReEDS" resource below. Open, reference, and limited are 3 scenarios based on land-use allowance, derived from the Renewable Energy Potential (reV) model developed by NREL, which helps generate supply curves for renewable technologies and assess the maximum potential of renewable resources in a designated area. Each zipped file in this dataset corresponds to a technology and contains the respective land-use scenario files required to run that technology in ReEDS. To use this dataset, download and place the extracted files in the locally cloned ReEDS repository inside one of the folders (inputs/variability/multi_year). After completing this copy, upon running the ReEDS model at the county-level spatial resolution for respective analysis purposes, the program will detect the presence of these files and will not fail. The data provided here correspond to the 2024 supply curves from the reV model; for details see the "Renewable Energy Technical Potential and Supply Curves for the Contiguous United States - 2024 Edition" resource below. For additional details on the profiles see the README below. |
| distribution |
[
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"title": "Link to Data for Older Versions of ReEDS",
"format": "HTML",
"accessURL": "https://data.openei.org/submissions/5986",
"mediaType": "text/html",
"description": ""County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model" submission on OEDI, includes data for older versions of ReEds (2024.0-2024.3)."
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"@type": "dcat:Distribution",
"title": "ReEDS 2.0 GitHub Repository",
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{
"@type": "dcat:Distribution",
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"format": "pdf",
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"mediaType": "application/pdf",
"description": "Report on the 2024 reV supply curves used for these county-level profiles."
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"description": "Technologies like large-scale utility PV (UPV), distributed PV (DistPV), onshore (land-based) wind, offshore wind, and concentrating solar power (CSP) are included.",
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{
"@type": "dcat:Distribution",
"title": "Distributed PV by County 01-23-2025.zip",
"format": "zip",
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{
"@type": "dcat:Distribution",
"title": "CSP by County 03-25-2025.zip",
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"description": "Zipped h5 file carrying concentrated solar power (CSP) hourly capacity factor data (see README for details).",
"downloadURL": "https://data.openei.org/files/8379/CSP%20by%20County%2003-25-2025.zip"
},
{
"@type": "dcat:Distribution",
"title": "Offshore Wind by County 03-25-2025.zip",
"format": "zip",
"mediaType": "application/zip",
"description": "Zipped h5 file carrying offshore wind (wind-ofs) hourly capacity factor data (see README for details).",
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{
"@type": "dcat:Distribution",
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]
|
| identifier | https://data.openei.org/submissions/8379 |
| issued | 2025-03-25T06:00:00Z |
| keyword |
[
"ReEDS",
"Regional Energy Deployment System",
"capacity expansion model",
"capacity factor data",
"computational science",
"concentrated solar power",
"county-level",
"energy",
"high resolution capacity expansion",
"hourly generation data",
"land-based wind",
"model",
"offshore wind",
"onshore wind",
"power",
"processed data",
"renewable",
"solar power",
"utility-scale PV",
"wind power"
]
|
| landingPage | https://data.openei.org/submissions/8379 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2025-04-29T16:32:05Z |
| programCode |
[
"019:000",
"019:008",
"019:010",
"019:023"
]
|
| projectNumber |
"52950"
|
| projectTitle | Solar Siting and Land Use for Electricity Planning |
| publisher |
{
"name": "National Renewable Energy Laboratory (NREL)",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-125.4514,24.5873],[-66.5318,24.5873],[-66.5318,49.2637],[-125.4514,49.2637],[-125.4514,24.5873]]]}"
|
| title | 2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model |
