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Sun Spot One (SS1): San Luis Valley, Colorado (Data)

A partnership with industry and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global horizontal, direct normal, and diffuse horizontal i...
Stoffel and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
0 Stars
Publicly accessible

University of Louisiana at Lafayette

A partnership with the University of Louisiana and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global, direct, and diffuse irradiance t...
Andreas and RitterNational Renewable Energy Laboratory
Feb 13, 2024
1 Resources
0 Stars
Publicly accessible

University of Florida

A partnership with the University of Florida and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global, direct, and diffuse irradiance to ...
Andreas and ScheffeNational Renewable Energy Laboratory
Feb 13, 2024
1 Resources
0 Stars
Publicly accessible

U.S. Wind and Solar PV Supply Curves with Future Land-use Change

This dataset provides future supply curves representing the total resource potential for land-based wind and solar photovoltaic (PV) deployment in the conterminous United States after accounting for the impact of land-use and land-cover change (LULC). We use LULC projections from ...
Sergi, B. et al National Renewable Energy Laboratory (NREL)
Jan 10, 2024
4 Resources
0 Stars
Publicly accessible

NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level

GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL?s Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using win...
Heimiller, D. et al National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
Publicly accessible

Miller & Keith (2018) Wind Plant Data

Information on the 430 wind power plants used in 'Observation-based solar and wind power capacity factors and power densities’ by Miller & Keith (2018, Environ. Res. Lett. 13 104008), initially based on the Wind Power Plant locations released by the US Energy Information Adminis...
Miller, L. Harvard University
Nov 22, 2018
2 Resources
0 Stars
In curation

U.S. Voluntary Green Power Market Data 2017

This data book provides certain data behind figures and tables found in the NREL report Status and Trends in the U.S. Voluntary Green Power Market 2017 Data. These data reflect estimates based on the best available data.
O'Shaughnessy. . et al National Renewable Energy Laboratory
Oct 01, 2018
1 Resources
0 Stars
Publicly accessible

Environmental Protection Agency (EPA) Renewable Energy Cost Database

The database is a compilation of existing cost data for wind, solar photovoltaic (solar PV), solar thermal (CSP), and geothermal energy technologies, including historical costs and projected costs for each. The data sources and references used to compile this information are inclu...
Hill, G. and Agency, E. National Renewable Energy Laboratory
Dec 31, 2009
2 Resources
0 Stars
In curation

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

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
6 Resources
0 Stars
Awaiting curation

Error-Level-Controlled Synthetic Forecasts for Renewable Generation

Renewable energy resources, including solar and wind energy, play a significant role in sustainable energy systems. However, the inherent uncertainty and intermittency of renewable generation pose challenges to the safe and efficient operation of power systems. Recognizing the imp...
Zhang, X. et al National Renewable Energy Laboratory (NREL)
Jun 01, 2021
3 Resources
0 Stars
Publicly accessible

ARPA-E PERFORM datasets

Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021....
Sergi, B. et al National Renewable Energy Laboratory (NREL)
Aug 18, 2022
3 Resources
1 Stars
Publicly accessible

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

SWERA: Solar and Wind Energy Resource Assessment

The Solar and Wind Energy Resource Assessment (SWERA) Programme was a collaboration of worldwide partners with a mission to provide information on renewable energy resources for countries and regions around the world. Funding and support for the SWERA Programme concluded in 2011, ...
Langle, N. National Renewable Energy Laboratory
Dec 21, 2017
2 Resources
0 Stars
In curation

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

Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)

The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the contiguous United States under various climate change scenarios. Sup3rCC is downscaled ...
Buster, G. et al National Renewable Energy Laboratory (NREL)
Apr 19, 2023
7 Resources
2 Stars
Publicly accessible

Irradiation Data from NREL'S MDIC Stations

The Measurement and Instrumentation Data Center (MIDC) provides Irradiance and Meteorological Data from these stations: NREL Solar Radiation Research Lab, BSRN Prototype Station, Atmospheric Optical Calibration System, TSR-1, RSR Version 2, RSR Version 1, National Wind Technology...
Afshin, A. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation

U.S. Voluntary Green Power Market Data 2018

This data book provides certain data behind figures and tables found in the NREL presentation Status and Trends in the U.S. Voluntary Green Power Market 2018 Data. These data reflect estimates based on the best available data.
Heeter and O'ShaughnessyNational Renewable Energy Laboratory
Oct 03, 2019
1 Resources
0 Stars
Publicly accessible

United States Virgin Islands: St. Thomas (Bovoni) & St. Croix (Longford)

Two measurement stations to collect wind data to support future wind power generation in the U.S. Virgin Islands.
Roberts and AndreasNational Renewable Energy Laboratory
Jun 03, 2015
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

Surface Meteorological Station PNNL 3m Tower, Physics site-8 Reviewed Data

**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by the...
Berg, L. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
0 Stars
Publicly accessible

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

This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for 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 capac...
Geospatial, N. National Renewable Energy Laboratory
Jan 01, 2025
17 Resources
0 Stars
Awaiting curation

United States Land-based Wind Supply Curves 2023

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...
GDS, N. National Renewable Energy Laboratory
Jun 30, 2023
13 Resources
0 Stars
Publicly accessible

Surface Meteorological Station PNNL Short Tower, Umatilla Raw Data

**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by th...
Morris, V. Wind Energy Technologies Office (WETO)
Aug 31, 2015
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station PNNL 3m Tower, Physics site-8 Raw Data

**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by th...
Morris, V. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
0 Stars
Publicly accessible
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