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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: 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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Publicly accessible
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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NASA Building 12 Wind Turbines Phase 1 Data
Completed in December 2014, the NASA Building 12 installation consists of four Urban Green Energy Eddy GT turbines. The NASA Building 12 project involved detailed pre-construction and post-construction measurements. NREL researchers initiated a measurement campaign consisting of m...
Fields, J. and NREL, . National Renewable Energy Laboratory
Dec 28, 2015
2 Resources
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2 Resources
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2014 Wind Turbine Gearbox Damage Distribution based on the NREL Gearbox Reliability Database
Despite the improvements in wind turbine gearbox design and manufacturing practices, the wind industry is still challenged by premature wind turbine gearbox failures. To help address this industry-wide challenge, a consortium called the Gearbox Reliability Collaborative (GRC) was ...
Sheng, S. National Renewable Energy Laboratory
Feb 09, 2015
1 Resources
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1 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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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
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3 Resources
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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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2 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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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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INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...
Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)
May 04, 2021
8 Resources
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8 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
1 Stars
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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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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
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Bhutan Solar Resources
GIS data for Bhutan's direct normal irradiance (DNI), global horizontal irradiance (GHI), and latitude tilt irradiance. Researchers from NREL and the Atmospheric Sciences Research Center (ASRC) at the State University of New York (SUNY) at Albany developed the estimates of Bhutans...
Heimiller, D. et al National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
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4 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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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 80-m height above ground and the wind energy potential from development of the “available” windy land area after exc...
Wood, J. and America, W. National Renewable Energy Laboratory
Nov 25, 2014
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Wind Resources by Class and Country At 50m
These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (Unite...
Heimiller, D. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
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4 Resources
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