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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 The data was originally made available by Wind Powering America, a...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 The data was originally made available by Wind Powe...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

ALFA Field Testing of a Dual Sonar System for Detecting Woody Debris

Field testing of a dual sonar system for detecting woody debris in natural settings was conducted at the Tanana River Test Site (TRTS) in Nenana, AK between 8/26 and 9/23, 2015. The TRTS is approximately 65 miles south of Fairbanks and is well suited for testing hydrokinetic energ...
Kasper, J. University of Alaska Fairbanks
Apr 11, 2022
16 Resources
0 Stars
Publicly accessible

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

Analysis of Existing 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 noise cross-correlation functions (NCF) . Each file includes a NCF ...
Zeng, X. University of Wisconsin
Mar 26, 2015
37 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
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

Admiralty Inlet Hub-Height Turbulence Measurements from June 2012

This data is from measurements at Admiralty Head, in Admiralty Inlet. The measurements were made using an IMU equipped ADV mounted on a mooring, the 'Tidal Turbulence Mooring' or 'TTM'. The inertial measurements from the IMU allows for removal of mooring motion in post processing....
Kilcher, L. National Renewable Energy Laboratory
Jun 18, 2012
7 Resources
0 Stars
Publicly accessible

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

Environmental Protection Agency (EPA) Renewable Energy Cost Database

The database is a compilation of existing cost data for wind, solar photovoltaic (solar PV), solar thermal (CSP), and geothermal energy technologies, including historical costs and projected costs for each. The data sources and references used to compile this information are inclu...
Hill, G. and Agency, E. National Renewable Energy Laboratory
Dec 31, 2009
2 Resources
0 Stars
In curation

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

NREL GIS Data: Wisconsin High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for Wisconsin at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential in Wisconsin. _Supplemental Information:_ This data set has been validated by NREL and wind energy meteorologic...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 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
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