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 wind, offshore wind, and concentrating solar power (CSP) are included. The dataset contains 7 years of hourly weather data (2007-2013) for different sites across the US and is used as one of the 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.
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.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Wesley Cole",
"@type": "vcard:Contact",
"hasEmail": "mailto:Wesley.Cole@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 wind, offshore wind, and concentrating solar power (CSP) are included. The dataset contains 7 years of hourly weather data (2007-2013) for different sites across the US and is used as one of the 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. 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. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "ReEDS 2.0 GitHub Repository",
"accessURL": "https://github.com/NREL/ReEDS-2.0",
"mediaType": "application/octet-stream",
"description": "ReEDS 2.0 GitHub Repository containing the source code for NREL's ReEDS model and detailed instructions for configuration."
},
{
"@type": "dcat:Distribution",
"title": "CSP by County 08-01-23.zip",
"format": "zip",
"mediaType": "application/zip",
"description": "Zipped file carrying Concentrated Solar Power (CSP) hourly capacity factor data for respective land-use scenarios. Rows in each of the extracted files are hourly timesteps for 7 years (61320 rows) and columns are a specific class and region (in this case county) in the format "technology_class_regioncode".",
"downloadURL": "https://data.openei.org/files/5986/csp_county%20%281%29.zip"
},
{
"@type": "dcat:Distribution",
"title": "Offshore Wind by County 08-01-23.zip",
"format": "zip",
"mediaType": "application/zip",
"description": "Zipped file carrying Offshore Wind hourly capacity factor data for respective land-use scenarios. Rows in each of the extracted files are hourly timesteps for 7 years (61320 rows) and columns are a specific class and region (in this case county) in the format "technology_class_regioncode".",
"downloadURL": "https://data.openei.org/files/5986/wind-ofs_county.zip"
},
{
"@type": "dcat:Distribution",
"title": "Onshore Wind by County 08-01-23.zip",
"format": "zip",
"mediaType": "application/zip",
"description": "Zipped file carrying Onshore Wind hourly capacity factor data for respective land-use scenarios. Rows in each of the extracted files are hourly timesteps for 7 years (61320 rows) and columns are a specific class and region (in this case county) in the format "technology_class_regioncode".",
"downloadURL": "https://data.openei.org/files/5986/wind-ons_county.zip"
},
{
"@type": "dcat:Distribution",
"title": "UPV by County 08-01-23.zip",
"format": "zip",
"mediaType": "application/zip",
"description": "Zipped file carrying Utility-scale PV (UPV) hourly capacity factor data for respective land-use scenarios. Rows in each of the extracted files are hourly timesteps for 7 years (61320 rows) and columns are a specific class and region (in this case county) in the format "technology_class_regioncode".",
"downloadURL": "https://data.openei.org/files/5986/upv_county.zip"
}
]
|
| DOI | 10.25984/2282347 |
| identifier | https://data.openei.org/submissions/5986 |
| issued | 2023-08-01T06:00:00Z |
| keyword |
[
"Capacity expansion modeling",
"ReEDS",
"Regional Energy Deployment System",
"Utility-scale PV",
"capacity factor data",
"computational science",
"concentrated solar power",
"county-level",
"energy",
"high resolution capacity expansion",
"hourly weather data",
"model",
"offshore wind",
"onshore wind",
"power",
"processed data",
"renewable",
"solar",
"solar power",
"wind",
"wind power"
]
|
| landingPage | https://data.openei.org/submissions/5986 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2024-01-23T22:54:21Z |
| programCode |
[
"019:000",
"019:008",
"019:010",
"019:023"
]
|
| projectNumber | FY23 AOP 2.4.0.1 |
| projectTitle | ReEDS Spatial Flexibility |
| 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 | County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model |
