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Minnesota High Resolution Wind Resource

A shapefile of annual average wind resource potential for Minnesota, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This ma...

Langle, N. and Heimiller, D. National Renewable Energy Laboratory

Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Maine High Resolution Wind Resource

A shapefile of annual average wind resource potential for Maine, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapef...

Langle, N. and Heimiller, D. National Renewable Energy Laboratory

Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Wisconsin High Resolution Wind Resource

A shapefile of annual average wind resource potential for Wisconsin, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This sh...

Langle, N. and Heimiller, D. National Renewable Energy Laboratory

Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Ohio High Resolution Wind Resource

A shapefile of annual average wind resource potential for Ohio, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefi...

Langle, N. and Heimiller, D. National Renewable Energy Laboratory

Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Oklahoma High Resolution Wind Resource

A shapefile of annual average wind resource potential for Oklahoma, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This sha...

Langle, N. and Heimiller, D. National Renewable Energy Laboratory

Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Airport and Heliport Setbacks

This dataset represents a first-order quantification of airport and heliport setback requirements based on the Federal Aviation Administration (FAA) 14 CFR Part 77.9. It defines the following FAA notice criteria that we use to create runway buffers. Runways longer than 3,200 feet ...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
3 Resources
0 Stars
Publicly accessible

NREL National Wind Technology Center (NWTC): M2 Tower; Boulder, Colorado (Data)

The National Wind Technology Center (NWTC), located at the foot of the Rocky Mountains near Boulder, Colorado, is a world-class research facility managed by NREL for the U.S. Department of Energy. NWTC researchers work with members of the wind energy industry to advance wind power...

Jager and AndreasNational Renewable Energy Laboratory

Dec 17, 2014
2 Resources
0 Stars
Publicly accessible

Transparent Cost Database: Generation, BioFuels, Vehicle Levelized Costs

For emerging energy technologies, a variety of cost and performance numbers are cited in presentations and reports for present-day characteristics and potential improvements. Amid a variety of sources and methods for these data, the Office of Energy Efficiency and Renewable Energy...

Staff, T. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
6 Resources
1 Stars
In curation

United States Mid-Atlantic Regional High Resolution Wind Resource

A shapefile of annual average wind resource potential of the mid-Atlantic United States at a 50 meter height. States included are: Delaware, Maryland, New Jersey, North Carolina, Pennsylvania, Virginia, West Virginia and the District of Columbia. This data set has been validated b...

Langle, N. and Heimiller, D. National Renewable Energy Laboratory

Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Wind Turbine Water Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter

This dataset represents wind energy setback requirements from water based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from water that an energy project may be developed, and these varied widely across the counties in which they exist...

Geospatial Data Science, N. and Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
5 Resources
0 Stars
Publicly accessible

Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance

This dataset comprises Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the efficient assessment of PV system and wind turbine performance for over 2,000 locations across the U.S. TSYs and TWYs are single synthetic years generated from the National Aeronautics and Spac...

Zeng, Z. et al Argonne National Laboratory

Jul 14, 2024
7 Resources
0 Stars
Publicly accessible

Wind Turbine Oil and Gas Pipeline Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter

This dataset represents wind energy setback requirements from oil and gas pipelines. A setback requirement is a minimum distance from a pipeline that an energy project may be developed. As of April 2022, no ordinances were discovered for any counties. Such ordinances are likely to...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
3 Resources
0 Stars
Publicly accessible

U.S. State Wind Resource Potential

Estimates for each of the 50 states and the entire United States showing the windy land area with a gross capacity factor (without losses) of 30% and greater at 80m height above ground and the wind energy potential from development of the available windy land area after exclusions...

Heimiller, D. National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
1 Stars
Publicly accessible

U.S. Counties FIPS Layer

This dataset, which represents county Federal Information Processing System (FIPS) codes for each county as a raster, is utilized by reVX to compute setbacks (distances). Setbacks can be computed either locally (on a per-county basis with specified distances or multipliers) or glo...

GDS, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
2 Resources
1 Stars
Publicly accessible

Long-run Marginal CO2 Emission Rates Workbooks for 2020 Standard Scenarios Cambium Data

This dataset has been superseded by a new set of workbooks that can be found here: https://data.nlr.gov/submissions/183 These workbooks contain modeled estimates of long-run marginal CO2 emission rates (LRMER) for the contiguous United States. The LRMER is an estimate of the ...

Gagnon. . et al National Renewable Energy Laboratory

Aug 12, 2021
12 Resources
0 Stars
Publicly accessible

Camera / Raw Data

**Overview** The SUMR-D CART2 turbine data are recorded by the CART2 wind turbine's supervisory control and data acquisition (SCADA) system for the Advanced Research Projects Agency–Energy (ARPA-E) SUMR-D project located at the National Renewable Energy Laboratory (NREL) Flatir...

Scholbrock, A. Wind Energy Technologies Office (WETO)

Sep 10, 2019
1 Resources
0 Stars
Publicly accessible

University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy

The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...

Phillipes, C. et al National Renewable Energy Laboratory

Sep 30, 2015
5 Resources
0 Stars
Publicly accessible

Ridgelines: Department of Interior Definition

This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base."...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
3 Resources
0 Stars
Publicly accessible