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Annual Average Modeled Wind Speed (m/s) for Puerto Rico and the Virgin Islands at a 70 Meter Hub Height.
This is supplemental data to the 50 m height data set that was validated by NREL and wind energy meteorological consultants in 2007. The data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m spatial re...
Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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NREL GIS Data: Arizona High Resolution Wind Resource
_Abstract:_ Annual average wind resource potential for the state of Arizona at a 50 meter height. This dataset will be replaced when the southwest region has been completed, and the data may change when this region has been completed.
_Purpose:_ Provide information on the win...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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NREL GIS Data: Arkansas High Resolution Wind Resource
_Abstract:_ Annual average wind resource potential for the state of Arkansas at a 50 meter height.
_Purpose:_ Provide information on the wind resource development potential within the state of Arkansas.
_Supplemental Information:_ This data set has been validated by NREL ...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Hydroshear Simulation Lab Test 2
This data file is for test 2. In this test a sample of granite with a pre-cut (man made fracture) is confined, heated and differential stress is applied. The max temperature in this this system development test is 95C. More test details can be found on the spreadsheets--note that ...
Bauer, S. Sandia National Laboratories
Aug 01, 2014
3 Resources
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3 Resources
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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
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2 Resources
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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
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3 Resources
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Wind Integration National Dataset (WIND) Toolkit
Wind resource data for North America was produced using the Weather Research and Forecasting Model (WRF). The WRF model was initialized with the European Centre for Medium Range Weather Forecasts Interim Reanalysis (ERA-Interm) data set with an initial grid spacing of 54 km. Thre...
Maclaurin, G. et al National Renewable Energy Laboratory
Sep 26, 2014
6 Resources
1 Stars
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6 Resources
1 Stars
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Afghanistan Wind Power Density at 50-m Above Ground Level GIS Data
This dataset was developed by the National Renewable Energy Laboratory (NREL) for the [U.S. Agency for International Development'](http://www.usaid.gov/)s (USAID) [South Asia Regional Initiative for Energy Cooperation](http://www.sari-energy.org/) (SARI/E). The dataset contains Wi...
Langle, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
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3 Resources
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Illinois High Resolution Wind Resource
Annual average wind resource potential of Illinois at a 50 meter height.
This data set was produced and validated by NREL using their WRAM model. This shapefile was generated from a raster dataset with a 1000 m resolution, in a Transverse Mercator projection with the following ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
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3 Resources
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NREL GIS Data: Alaska High Resolution Wind Resource
Annual average wind resource potential for the main section of the state of Alaska. Note: we do not have a complete 50m coverage for the entire state.
The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under co...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Sample Data from a Distributed Acoustic Sensing Experiment at Garner Valley, California
In September 2013, an experiment using Distributed Acoustic Sensing (DAS) was conducted at Garner Valley, a test site of the University of California Santa Barbara (Lancelle et al., 2014). This submission includes one 45 kN shear shaker (called "large shaker" on the basemap) test ...
Lancelle, C. University of Wisconsin
Sep 10, 2013
10 Resources
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10 Resources
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NREL GIS Data: Alaska Low Resolution Wind Resource
Annual average wind resource potential for the United States (low resolution)
### License Info
DISCLAIMER NOTICE
This GIS data was developed by the National Renewable Energy Laboratory (?NREL?), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Depa...
Twong, . and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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NREL GIS Data: Continental United States Low Resolution Wind Resource
Annual average wind resource potential for the United States (low resolution)
### License Info
DISCLAIMER NOTICE
This GIS data was developed by the National Renewable Energy Laboratory (?NREL?), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Depa...
Twong, . and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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NREL GIS Data: Hawaii Low Resolution Wind Resource
Annual average wind resource potential of Hawaii (low resolution)
### License Info
DISCLAIMER NOTICE
This GIS data was developed by the National Renewable Energy Laboratory (NREL), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Department of Ener...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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NREL Power Technologies Energy Data Book (2006): Technology Profiles
The National Renewable Energy Laboratory (NREL) publishes a wide selection of data and statistics on renewable energy power technologies from a variety of sources (e.g. EIA, Oak Ridge National Laboratory, Sandia National Laboratory, EPRI and AWEA). In 2006, NREL published the 4th ...
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Active Source Seismic (Ultrasonic) Data from Double-Direct Shear Lab Experiments
Active source ultrasonic data from lab experiments p5270 and p5271 including raw waveforms (WF) and mechanical data (mat). From the PSU team working on the "Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties" project. The fric...
Marone, C. Pennsylvania State University
May 05, 2021
1 Resources
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1 Resources
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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
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NREL GIS Data: Afghanistan and Pakistan High Resolution Wind
Shapefile for NREL's high-resolution Afghanistan and Pakistan wind resource data.
### License Info
DISCLAIMER NOTICE
This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. De...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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North and South Dakota High Resolution 50m Wind Resource
Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.
Langle, N. and Lopez, A. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
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4 Resources
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NREL GIS Data: United States Hydrogen Potential From Renewable Resources
Estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar photovoltaic, and biomass) by county for the United States. This study was conducted to estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar p...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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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 The National Renewable Energy Lab (NREL)
Apr 19, 2023
7 Resources
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7 Resources
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Distributed Generation Market Demand (dGen) model
The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sector...
Stanley, T. et al National Renewable Energy Laboratory (NREL)
Oct 16, 2020
4 Resources
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4 Resources
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Summary of Cement Formulations Tested by BNL for Self-Healing Ability Tests Conditions and Data
A table of cement formulations tested by Brookhaven National Laboratory in 2016-2017 in the frame of the "Self-healing and Re-Adhering Cements with Improved Toughness at Casing and Formation Interfaces for Geothermal Wells" project.
Sugama, T. Brookhaven National Laboratory
Sep 27, 2017
2 Resources
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2 Resources
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Brady's Geothermal Field March 2016 Vibroseis SEG-Y Files and UTM Locations
PoroTomo March 2016 Updated vibroseis source locations with UTM locations. Supersedes gdr.openei.org/submissions/824. Updated vibroseis source location data for Stages 1-4, PoroTomo March 2016. This revision includes source point locations in UTM format (meters) for all four Stage...
Feigl, K. University of Wisconsin
Mar 31, 2016
10 Resources
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10 Resources
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Combined Wind/Wave Hurricane Model
The Combined Hurricane Model data is a collaboration between the National Renewable Energy Laboratory (NREL) and researchers at the University of Miami and University of Texas at Austin. The model is unique in that it offers time-aligned predictions of full field atmospheric data ...
Phillips, C. and Laboratory, N. National Renewable Energy Laboratory
May 06, 2015
1 Resources
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