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Anemometer Data (Average Monthly Wind Speed) for Citizen Potawatomi Indian Reservation, OK (2004 2006)

Wind data collected from Citizen Potawatomi Indian Reservation in Oklahoma from a height of 20 meters (part of the Native American anemometer loan program). Monthly mean wind speed is available for 2004 through 2005. The data was originally made available by Wind Powering America,...
Hallett, K. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Anemometer Data (Average Monthly Wind Speed) for Hualapai Indian Reservation, AZ (2004 2005)

Wind data collected from Hualapai Indian Reservation in Arizona from a height of 66 meters (part of the Native American anemometer loan program). Monthly mean wind speed is available for 2004 through 2005. The data was originally made available by Wind Powering America, a DOE Offi...
Hallett, K. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

2023 National Offshore Wind data set (NOW-23)

The 2023 National Offshore Wind data set (NOW-23) is the latest wind resource data set for offshore regions in the United States, which supersedes, for its offshore component, the Wind Integration National Dataset (WIND) Toolkit, which was published about a decade ago and is curre...
Bodini, N. et al National Renewable Energy Laboratory
Jan 01, 2020
21 Resources
1 Stars
Curated

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

Grande Prairie Wind Purpose and Need Example

This is an example of how a purpose and need statement is put together for the Grande Prairie Wind Project.
Wiedmeyer, S. National Renewable Energy Laboratory
Apr 21, 2015
1 Resources
0 Stars
In curation

Raw Data from National Wind Technology Center M2 Tower (1996 2001)

This raw data reflects readings from instruments mounted on or near a 82 meter meteorological tower located at the [National Wind Technology Center (NWTC)](http://www.nrel.gov/wind/ "NWTC website"), approximately 5 miles south of Boulder, CO (specifically: 39.9107 N, 105.2348 W, d...
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Raw Data from National Wind Technology Center M2 Tower (2001 2011)

This raw data reflects readings from instruments mounted on or near a 82 meter meteorological tower located at the [National Wind Technology Center (NWTC)](http://www.nrel.gov/wind/ "NWTC website"), approximately 5 miles south of Boulder, CO (specifically: 39.9107 N, 105.2348 W, d...
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Anemometer Data (Wind Speed, Direction) for Laurel, Nebraska (2001 2002)

Wind data collected from Laurel, Nebraska from a 20-meter anemometer as part of the Western Area Power Administration anemometer loan program. Ten-minute average wind speed and direction is available for 2001 2002. The data was originally made available by Wind Powering America, a...
Hallett, K. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
13 Resources
0 Stars
In curation

Anemometer Data (Wind Speed, Direction) for Watertown, South Dakota (2002, 2003)

Wind data collected from Watertown, South Dakota from a 20-meter anemometer as part of the Western Area Power Administration anemometer loan program. Ten-minute average wind speed and direction is available for Oct 2002 Jan 2004. The data was originally made available by Wind Powe...
Hallett, K. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
12 Resources
0 Stars
In curation

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
Curated

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
Curated

Anemometer Data (Wind Speed, Direction) for Beresford, South Dakota (2006)

Wind data collected from Beresford, South Dakota from a 20-meter anemometer as part of the Western Area Power Administration anemometer loan program. Ten-minute average wind speed and direction is available for Dec 2005 Jan 2007. The data was originally made available by Wind Powe...
Hallett, K. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
15 Resources
0 Stars
In curation

Offshore Wind Resource

Global Wind Potential Supply Curves by Country, Class, and Depth (quantities in GW)
Wendy, . and Laboratory, N. Cornell University
Nov 25, 2014
1 Resources
0 Stars
In curation

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

Airfoil Computational Fluid Dynamics 2k shapes, 25 AoA's, 3 Re numbers

This dataset contains aerodynamic quantities including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) for 1,830 airfoil shapes computed using the HAM2D CFD (computational fluid dynamics) model. The airfoil shapes w...
Ramos, D. et al National Renewable Energy Laboratory (NREL)
Feb 10, 2023
3 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
Curated

Hourly Dynamic Line Ratings for Existing Transmission Across the Contiguous United States (Preliminary)

This dataset provides estimated hourly dynamic line ratings for ~84,000 transmission lines across the contiguous United States from 2007-2013. The calculation methods are described in the presentation linked below, and the associated open-source Python code repository is linked in...
Obika, K. et al National Renewable Energy Laboratory
Sep 25, 2024
16 Resources
0 Stars
Curated

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
1 Stars
Publicly accessible

Solar PV Structure Setbacks: Ordinances (2022)

This dataset represents solar energy setback requirements from structures based on existing county ordinances as of April 2022. For additional details, refer to Lopez et al. (2023). For citation, please use: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, T...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
In curation

Solar PV Water Setbacks: Ordinances (2022)

This dataset represents solar energy setback requirements from water based on existing county ordinances as of April 2022. For additional details, refer to Lopez et al. (2023). For citation, please use: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
In curation

Solar PV Road Setbacks: Ordinances (2022)

This dataset represents solar energy setback requirements from roads based on existing county ordinances as of April 2022. For additional details, refer to Lopez et al. (2023). For citation, please use: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
In curation

NREL GIS Data: Georgia High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for the state of Georgia at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential within the state of Georgia. _Supplemental Information:_ This data set has been validated by NREL an...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Hawaii High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for the state of Hawaii at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential within the state of Hawaii. _Supplemental Information:_ This data set has been validated by NREL and ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: South Carolina High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for the state of South Carolina at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential within the state of South Carolina. _Supplemental Information:_ This data set has been valida...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Bottom Shear Stress in Lake Erie for Parameterization

2008-2009 bottom currents, turbidity, wind and waves in Lake Erie. The dataset is used for calculating bottom shear stress and evaluating bottom shear stress parameterization methods. Bottom shear stress is the driving force of sediment entrainment. Understanding bottom shear stre...
Lin, S. Uppsala University
Mar 18, 2022
1 Resources
0 Stars
Publicly accessible
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