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Surface Meteorological Station HilFlowS LLNL 52m tall tower EOP Processed Data
**Overview**
The WindCube v2 was co-located with Site 300’s 52-m-tall meteorological tower so that measurements below 40 m could also be observed. The meteorological tower has three measurement levels: 10 m, 23 m, and 52 m. Wind speed was measured with a cup anemometer; wind di...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
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1 Resources
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LandRAY PTO Test Plans with NREL NWTC 5 MW Dynamometer
The overarching project objective is to demonstrate the feasibility of using an innovative PowerTake-Off (PTO) Module in Columbia Power's utility-scale wave energy converter (WEC). The PTO Module uniquely combines a large-diameter, direct-drive, rotary permanent magnet generator; ...
Prudell, J. et al Columbia Power Technologies, Inc.
Feb 29, 2016
5 Resources
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5 Resources
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Bias Corrected NOAA HRRR Wind Resource Data for Grid Integration Applications
To address the need for regularly updated wind resource data, NREL has processed the High-Resolution Rapid Refresh (HRRR) outputs for use in grid integration modeling. The HRRR is an hourly-updated operational forecast product produced by the National Oceanic and Atmospheric Admin...
Buster, G. et al The National Renewable Energy Lab (NREL)
Oct 15, 2024
7 Resources
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7 Resources
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WIND Toolkit Power Data Site Index
This spreadsheet contains per-site metadata for the WIND Toolkit sites and serves as an index for the raw data hosted on Globus connect (nrel#globus:/globusro/met_data). Aside from the metadata, per site average power and capacity factor are given. This data was prepared by 3TIER ...
Draxl and Mathias-HodgeNational Renewable Energy Laboratory
Oct 17, 2016
1 Resources
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1 Resources
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Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance
This dataset comprises Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the efficient assessment of PV system and wind turbine performance for over 2,000 locations across the U.S. TSYs and TWYs are single synthetic years generated from the National Aeronautics and Spac...
Zeng, Z. et al Argonne National Laboratory
Jul 14, 2024
7 Resources
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7 Resources
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Wind Turbine Water Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from water based on existing 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 exist...
Geospatial Data Science, N. and Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
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5 Resources
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Anemometer Data (Wind Speed, Direction) for Navajo-Black Mesa, AZ (2004 2005)
Wind data collected from Navajo Indian Reservation in Arizona from an anemometer as part of the Native American anemometer loan program. Monthly mean wind speed is available for 2004 through 2005, as is wind direction and turbulence data. Data reported from a height of 120 m. The ...
Hallett, K. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
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In curation
3 Resources
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In curation
Wind Turbine Oil and Gas Pipeline Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind 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 to...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
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3 Resources
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United States Mid-Atlantic Regional High Resolution Wind Resource
Annual average wind resource potential of the mid-Atlantic United States at a 50 meter height.
States included are: Delaware, Maryland, New Jersey, North Carolina, Pennsylvania, Virginia, West Virginia and the District of Columbia.
This data set has been validated by NREL a...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation
3 Resources
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In curation
United States Pacific Northwest Regional High Resolution Wind Resource
Annual average wind resource potential of the northwestern United States at a 50 meter height.
This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation
3 Resources
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In curation
Lidar HilFlowS LLNL ZephIR300 MOP Processed Data
**Overview**
The ZephIR300 is a continuous wave LIDAR with a range of 10 m to 300 m. During HilFlowS the ZephIR300 was programmed to measure from 10 m to 150 m. In addition, the ZephIR300 provided a measurement at 1 m height using an onboard meteorological sensor. The ZephIR300 ...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
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1 Resources
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Lidar HilFlowS LLNL ZephIR300 WOP Processed Data
**Overview**
The ZephIR300 is a continuous wave LIDAR with a range of 10 m to 300 m. During HilFlowS the ZephIR300 was programmed to measure from 10 m to 150 m. In addition, the ZephIR300 provided a measurement at 1 m height using an onboard meteorological sensor. The ZephIR300 ...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
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1 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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Lidar HilFlowS LLNL WindCube v2 EOP Processed Data
**Overview**
The WindCube v2 is a pulsed LIDAR and uses four beams sent in succession in the four cardinal directions along a 28°scanning cone angle to measure horizontal velocity and wind direction. A fifth beam is sent in the vertical direction to measure vertical velocity. Me...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
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1 Resources
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Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets
This dataset contains turbine and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric conditions. The power outputs were computed using the Gaussian wake model in NREL's FLOw Redirection and Induction in ...
Ramos, D. et al National Renewable Energy Laboratory
Feb 12, 2021
5 Resources
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5 Resources
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New York High Resolution Wind Resource
Annual average wind resource potential for New York at a 50 meter height.
This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was generated from a...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
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In curation
3 Resources
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Radar ANL Wind Profiler with RASS, Goldendale Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Jul 11, 2016
1 Resources
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1 Resources
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Radar ANL Wind Profiler with RASS, Yakima Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Mar 17, 2016
1 Resources
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1 Resources
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Radar ANL Wind Profiler, Walla Walla Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Apr 05, 2016
1 Resources
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1 Resources
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Radar ARL Wind Profilerwith RASS, Boardman Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Sep 29, 2015
1 Resources
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1 Resources
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Radar ESRL Wind Profiler with RASS, Condon Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Sep 29, 2015
1 Resources
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1 Resources
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Radar ESRL Wind Profiler with RASS, Prineville Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Aug 09, 2015
1 Resources
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1 Resources
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Radar ESRL Wind Profiler with RASS, Troutdale Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Sep 21, 2015
1 Resources
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1 Resources
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Radar ESRL Wind Profiler with RASS, Wasco Airport Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
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1 Resources
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NREL GIS Data: California Wind High Resolution
Abstract: Annual average wind resource potential of California at a 50 meter height.
Purpose: Provide information on the wind resource development potential within California.
Supplemental_Information: This data set was produced by Tru...
Purpose: Provide information on the wind resource development potential within California.
Supplemental_Information: This data set was produced by Tru...
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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In curation
2 Resources
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In curation