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Anemometer Data (Wind Speed, Direction) for Beloit, Kansas (2003 2004)
Wind data collected from Beloit, Kansas 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 2003 and 2004. The data was originally made available by Wind Powering America,...
Hallett, K. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
7 Resources
0 Stars
In curation
7 Resources
0 Stars
In curation
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 The data was originally made available by Wind Powering America,...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
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 The data was originally made available by Wind Powering America, a DOE Offi...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
3 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
1 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 The data was originally made available by Wind Powering America, a...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
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
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
3 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
15 Resources
0 Stars
In curation
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
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
16 Resources
0 Stars
Curated
ARPA-E Grid Optimization (GO) Competition Challenge 2
The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap ratios, phase shifting transformers, switchable shunts, price-responsive demand, ramp rate constrained generators and l...
Elbert, S. et al Pacific Northwest National Laboratory
Sep 20, 2024
29 Resources
0 Stars
Curated
29 Resources
0 Stars
Curated
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
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
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
3 Resources
0 Stars
In curation
RANS Simulation ADM of the NREL Phase VI wind turbine modeled as MHK Turbine
Attached are the .cas and .dat files for the Reynolds Averaged Navier-Stokes (RANS) simulation of a single lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CFD-package.
In this case study the flow field around and in the wake of the NREL Phase VI wind turbine, modeled is MH...
Javaherchi, T. University of Washington
Jun 08, 2016
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Solar PV Transmission Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from transmission. A setback requirement is a minimum distance from transmission infrastructure that an energy project may be developed. As of April 2022, no ordinances were discovered for any counties. Such ordinances are ...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
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3 Resources
0 Stars
Curated
Solar PV Oil and Gas Pipeline Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from oil and gas pipelines. A setback requirement is a minimum distance from a pipeline that an energy project may be developed. As of April 2022, no ordinances were discovered for any counties. Such ordinances are likely t...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Curated
3 Resources
0 Stars
Curated
Solar PV Railroad Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from railroads. A setback requirement is a minimum distance from a railroad that an energy project may be developed. As of April 2022, no ordinances were discovered for any counties. Such ordinances are likely to arise as r...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
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3 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
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
Energy Generation by State and Technology (2009)
Provides annual energy generation for all states by fuel source (e.g. coal, gas, solar, wind) in 2009, reported in MWh. Also includes facility-level data (directly from EIA Form 923).
Weers, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
Solar Energy: Bans or Moratoriums (2022)
This dataset identifies counties and municipalities that had a solar energy ban or moratorium as of April 2022. A TIF data file and a PNG map of the data are provided, showing areas where solar energy bans or moratoriums exist across the contiguous United States.
For further deta...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Solar PV Structure Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from structures based on county ordinances as of April 2022. A setback requirement is a minimum distance from a structure that an energy project may be developed, and these varied widely across the counties in which they ex...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Solar PV Water Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from bodies of water based on county ordinances as of April 2022. A setback requirement is a minimum distance from water that an energy project may be developed, and these varied widely across the counties in which they exi...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Solar PV Road Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from roads based on county ordinances as of April 2022. A setback requirement is a minimum distance from a road that an energy project may be developed, and these varied widely across the counties in which they existed. Two...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
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
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible