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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 ...

Cole, W. et al National Renewable Energy Laboratory (NREL)

Aug 01, 2023
5 Resources
2 Stars
Publicly accessible

Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth

This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesosc...

Sullivan, P. et al National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
1 Stars
Publicly accessible

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 provid...

Sergi, B. et al National Renewable Energy Laboratory (NREL)

Mar 25, 2025
9 Resources
0 Stars
Publicly accessible

Reference Site Condition Datasets for Floating Wind Arrays in the United States

Floating offshore wind farm design is highly site-specific, requiring detailed information about the specific conditions of a project area for realistic design studies. Unfortunately, publicly available site condition data for potential floating offshore wind project sites in the ...

Biglu. . et al National Renewable Energy Laboratory

Aug 02, 2024
4 Resources
0 Stars
Publicly accessible

NREL GIS Data: U.S. Atlantic Coast Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...

Wood, J. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

An Assessment of the Economic Potential of Offshore Wind in the United States from 2015 to 2030

Output data from an NREL report entitled "An Assessment of the Economic Potential of Offshore Wind in the United States from 2015 to 2030" (NREL/TP-6A20-67675), which analyzes the spatial variation of levelized cost of energy (LCOE) and levelized avoided cost of energy (LACE) to ...

Beiter. . et al National Renewable Energy Laboratory

May 17, 2017
1 Resources
0 Stars
Publicly accessible

Life Cycle Emissions Factors for Electricity Generation Technologies

This dataset consists of a table containing the distribution of literature estimates of greenhouse gas emissions for the following electricity generation and storage technologies: biopower, coal, concentrating solar power, geothermal, hydrogen storage, hydropower, lithium-ion batt...

Nicholson and HeathNational Renewable Energy Laboratory

Aug 23, 2021
2 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

TURKEY’S ENERGY FUTURE A LEAP SIMULATION AND ANALYSIS

A LEAP based analysis of the current energy system of Turkey, as well as four future scenarios, including evaluation and comparison of the effects of different policies on energy security, prices and emissions

Boudier, V. National Renewable Energy Laboratory

Jan 09, 2017
1 Resources
0 Stars
In curation

WIND Toolkit Offshore Summary Dataset

This dataset contains summary statistics for offshore wind resources for the continental United States derived from the Wind Integration National Datatset (WIND) Toolkit. These data are available in two formats: GDB Compressed geodatabases containing statistical summaries align...

Draxl. . et al National Renewable Energy Laboratory

Jul 21, 2017
7 Resources
0 Stars
Publicly accessible

Lidar ND Halo Scanning Doppler, Boardman Reviewed Data

**Overview** The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR. **It is highly recommended to discuss any planned use of these data with University of Notre Dame scie...

Fernando, J. et al Wind Energy Technologies Office (WETO)

Dec 12, 2015
1 Resources
0 Stars
Publicly accessible

U. S. Department of Energy's Compliance Certification Database

The Certification Database houses certification reports and compliance statements submitted by manufacturers for covered products and equipment subject to Federal conservation standards. The new database offers users an easy-to-use search function for existing records in an easily...

Armstrong, A. and (DOE), U. Office of Energy Efficiency & Renewable Energy

Nov 25, 2014
1 Resources
0 Stars
In curation

Energy Intensity Indicators in the U.S.: Industrial Sector (1949 2004)

Energy intensity data and documentation published by the U.S. DOE's office of Energy Efficiency and Renewable Energy (EERE). Energy intensity is defined as: amount of energy used in producing a given level of output or activity; expressed as energy per unit of output. This is the ...

Hallett, K. and (EERE), O. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

Next Generation Weather Radar (NEXRAD) Radar Line-of-Sight

The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents a line-of-sight for each radar station. Radar line-of-...

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

Jan 01, 2024
3 Resources
0 Stars
Publicly accessible

Land of Opportunity: Geothermal, Land-based Wind, and Solar PV Potential on Federal Lands

This data packet contains supply curves and a composite siting exclusion TIFF for geothermal, land-based wind, and solar PV across the contiguous United States with specific consideration on federal lands. The supply curves offer comprehensive metrics such as capacity (MW) for eac...

Geospatial, N. National Renewable Energy Laboratory

Jan 01, 2025
28 Resources
0 Stars
Publicly accessible

United States Land-based Wind Supply Curves 2024

This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for land-based wind across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE...

Geospatial Data Science, N. National Renewable Energy Laboratory

Jan 01, 2025
12 Resources
0 Stars
Publicly accessible

United States Land-based Wind Supply Curves 2023

GDS, N. National Renewable Energy Laboratory

Jun 30, 2023
13 Resources
0 Stars
Publicly accessible

Airfoil Computational Fluid Dynamics 9k shapes, 2 AoA's

This dataset contains aerodynamic quantities including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) for 8,996 airfoil shapes, computed using the HAM2D CFD (computational fluid dynamics) model. The airfoil shapes ...

Ramos, D. et al National Renewable Energy Laboratory (NREL)

Feb 10, 2023
3 Resources
0 Stars
Publicly accessible

Microwave Radiometer CU Radiometrics MWR, Condon Reviewed Data

**Overview** These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km. **Data Details** All output files are named automatically using the following format: yyyy-mm-dd_hh-mm-ss_xxx.csv, where yyyy...