Observation-based solar and wind power capacity factors and power densities - Wind Plant Data
Information on the 430 wind power plants used in the publication "Observation-based solar and wind power capacity factors and power densities", initially based on the Wind Power Plant locations released by the US Energy Information Administration and the individual wind turbine locations released by the US Wind Turbine Database (USWTDB). In this study we estimated the power density of wind and solar power using data that includes most grid-connected commercial-scale installations in the US. We also examined how power densities vary with power plant age and size.
For more information on the project see the "Publication" resource below.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Lee Miller",
"@type": "vcard:Contact",
"hasEmail": "mailto:lee.miller@pnnl.gov"
}
|
| dataQuality |
true
|
| description | Information on the 430 wind power plants used in the publication "Observation-based solar and wind power capacity factors and power densities", initially based on the Wind Power Plant locations released by the US Energy Information Administration and the individual wind turbine locations released by the US Wind Turbine Database (USWTDB). In this study we estimated the power density of wind and solar power using data that includes most grid-connected commercial-scale installations in the US. We also examined how power densities vary with power plant age and size. For more information on the project see the "Publication" resource below. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Publication",
"format": "HTML",
"accessURL": "https://iopscience.iop.org/article/10.1088/1748-9326/aae102",
"mediaType": "text/html",
"description": "Publication that the data accompanies: Observation-based solar and wind power capacity factors and power densities. "
},
{
"@type": "dcat:Distribution",
"title": "US wind plant data for 2016.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Data including: Plant_Code - from EIA Power Plants (EIA, 2018a) - used to link to electricity generation; Longitude - from EIA Power Plants; Latitude - from EIA Power Plants; InstCapMWi - installed capacity (MW) from EIA Power Plants; AreaKM2: total area of the wind plant (km2); based on our calculations in Wind Methods; NetGENe_2016_MWe - net electricity generation for 2016; from EIA Bulk Data (EIA, 2018b); USWTDB_ID - from US Wind Turbine Database (USWTDB, Hoen et al., 2018); unique text name matched to our other public dataset containing individual turbine locations
",
"downloadURL": "https://data.openei.org/files/499/millerkeith2018data1.csv"
},
{
"@type": "dcat:Distribution",
"title": "US wind turbine locations for 2016.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Location data including: USWTDB_ID - unique ID (text name) which also appears in MillerKeith2018_Data1.csv for matched wind power plants; Longitude - from USWTDB; Latitude - from USWTDB; Plant_Code - spatially matched wind power plant from MillerKeith2018_Data1.csv
",
"downloadURL": "https://data.openei.org/files/499/millerkeith2018data2.csv"
}
]
|
| identifier | https://data.openei.org/submissions/499 |
| issued | 2018-11-23T07:00:00Z |
| keyword |
[
"US",
"United States",
"capacity factor",
"data",
"power density",
"power plants",
"processed data",
"wind plant data",
"wind power",
"wind turbine locations"
]
|
| landingPage | https://data.openei.org/submissions/499 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2025-08-20T21:58:41Z |
| programCode |
[
"019:010"
]
|
| publisher |
{
"name": "Harvard University",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-125.81718749999999,24.521],[-66.93259999999998,24.521],[-66.93259999999998,49.726591553954854],[-125.81718749999999,49.726591553954854],[-125.81718749999999,24.521]]]}"
|
| title | Observation-based solar and wind power capacity factors and power densities - Wind Plant Data |