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Wind Energy×

PNNL MET #1 pre-campaign / Raw Data

**Overview** This dataset tests the data transfer and processing for a surface flux station, which includes low-speed weather information and high-speed sonic anemometer data.
Goldberger, L. Wind Energy Technologies Office (WETO)
Sep 22, 2015
1 Resources
0 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

Nevada High Resolution Wind Resource

Annual average wind resource potential for the state of Nevada, United States at a 50 meter height. The wind power resource estimates were produced by TrueWind Solutions using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This m...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

New Mexico High Resolution Wind Resource

Annual average wind resource potential for the state of New Mexico at a 50 meter height. The wind power resource estimates were produced by TrueWind Solutions using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

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

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

WIND Toolkit Long-Term Ensemble Dataset

WIND Toolkit Long-term Ensemble Dataset (WTK-LED), an updated version of the meteorological WIND Toolkit, is a meteorological dataset providing high-resolution time series, including interannual variability and model uncertainty of wind speed at every modeling grid point to indica...
Wang, J. et al National Renewable Energy Laboratory (NREL)
Jan 24, 2024
7 Resources
1 Stars
Publicly accessible

South Park Mountain Data: South Park, Colorado

South Park, Colorado data including "Live" data and plots, updated every 2 hours. Daily plots and raw data files, are available from March 28, 1997 to yesterday. Solar Calendars, are available from March 1997 to the present month. Wind roses (monthly, seasonal, & yearly) are av...
McKenna and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
0 Stars
Publicly accessible

2024 Standard Scenarios: A U.S. Electricity Sector Outlook

This data corresponds to the 2024 Standard Scenarios report, which contains a suite of forward-looking scenarios of the possible evolution of the U.S. electricity sector through 2050. These files contain modeled projections of the future. Although we strive to capture relevant p...
Gagnon, P. et al National Renewable Energy Laboratory (NREL)
Dec 30, 2024
7 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

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

Lidar LLNL ZephIR Profiler, Arlington Airport Reviewed Data

**Overview** These are 10-min averaged data from a vertical-profiling ZephIR 300 lidar. Data collected at the Arlington airport for the WFIP2 project. March 10, 2016 April 1, 2017 **Data Details** 1 Hz data are available from: wharton4@llnl.gov **Data Quality** Instrument ...
Wharton, S. Wind Energy Technologies Office (WETO)
Mar 09, 2016
1 Resources
0 Stars
Publicly accessible

University of Oregon: GPS-based Precipitable Water Vapor (PWV)

A partnership with the University of Oregon and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect Precipitable Water Vapor (PWV) data to compliment existing resource assessment data collection by the university.
Andreas and VignolaNational Renewable Energy Laboratory
Jan 19, 2016
1 Resources
0 Stars
Publicly accessible

San Clemente Island Data: San Clemente Island, California (Data)

Wind data from January 1, 2000 to July 17, 2005
McKenna and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 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

Event-correlated Outage Dataset in America

This dataset includes an aggregated and event-correlated analysis of power outages in the United States, synthesized by integrating three data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I), the Electric Emergency Incident Disturbance Report ...
She, B. et al Pacific Northwest National Laboratory
Oct 01, 2024
8 Resources
0 Stars
Publicly accessible

NREL Vehicle Testing and Integration Facility (VTIF): Rotating Shadowband Radiometer (RSR); Golden, Colorado (Data)

This measurement station at NREL's Vehicle Testing and Integration Facility (VTIF) monitors global horizontal, direct normal, and diffuse horizontal irradiance to define the amount of solar energy that hits this particular location. The solar measurement instrumentation is also ac...
Lustbader and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
0 Stars
Publicly accessible

Freedom Field Site Data: June 14, 2011

Freedom Field is a not-for-profit organization formed to facilitate development and commercialization of renewable energy solutions. The organization has installed a variety of renewable energy generating technologies at their facility (located at Rock River Water Reclamation in R...
Hallett, K. and Field, F. National Renewable Energy Laboratory
Jul 18, 2011
2 Resources
0 Stars
In curation

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

United States Offshore Wind Supply Curves 2024

This data packet contains supply curves, hourly generation profiles, and composite siting exclusion TIFFs for offshore wind (OSW) in the waters of the EEZ off the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), level...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
15 Resources
0 Stars
Publicly accessible

NREL GIS Data: Texas High Resolution Wind Resource

Annual average wind resource development potential for the state of Texas. This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile is in a UTM zone 19,...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

wfip2.model/retro.hrrr.02.fcst.02

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/retro.hrrr.02.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/retro.rap.02.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible
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