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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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UAE6 Wind Tunnel Tests Data UAE6 Sequence P Raw Data

**Overview** Sequence P: Wake Flow Visualization, Upwind (P) This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from 5 m/s to 15 m/s. Yaw angles of 0° to –60° were achieved. The blade tip pitch was 3°. The rotor rotated at 72 RPM. ...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
1 Resources
0 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
0 Stars
Curated

Microwave Radiometer CU Radiometrics MWR, Condon Raw Data

**Overview** These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km. **Data Details** All output files are named automatically using the following format: yyyy-mm-dd_hh-mm-ss_xxx.csv, where yyyy...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
1 Resources
0 Stars
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Microwave Radiometer CU Radiometrics MWR, Condon Reviewed Data

**Overview** These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km. **Data Details** All output files are named automatically using the following format: yyyy-mm-dd_hh-mm-ss_xxx.csv, where yyyy...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
1 Resources
0 Stars
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Microwave Radiometer ESRL Radiometrics MWR, Troutdale Raw Data

**Overview** These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km. **Data Details** All output files are named automatically using the following format: yyyy-mm-dd_hh-mm-ss_xxx.csv, where yyyy...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
1 Resources
0 Stars
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Microwave Radiometer ESRL Radiometrics MWR, Troutdale Reviewed Data

**Overview** These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km. **Data Details** All output files are named automatically using the following format: yyyy-mm-dd_hh-mm-ss_xxx.csv, where yyyy...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
1 Resources
0 Stars
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Microwave Radiometer ESRL Radiometrics MWR, Wasco Airport Raw Data

**Overview** These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km. **Data Details** All output files are named automatically using the following format: yyyy-mm-dd_hh-mm-ss_xxx.csv, where yyyy...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
1 Resources
0 Stars
Publicly accessible

Microwave Radiometer ESRL Radiometrics MWR, Wasco Airport Reviewed Data

**Overview** These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km. **Data Details** All output files are named automatically using the following format: yyyy-mm-dd_hh-mm-ss_xxx.csv, where yyyy...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
1 Resources
0 Stars
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Microwave Radiometer UND Radiometrics MWR, Rufus Raw Data

**Overview** These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km. **Data Details** All output files are named automatically using the following format: yyyy-mm-dd_hh-mm-ss_xxx.csv, where yyyy...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
1 Resources
0 Stars
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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

UAE6 Wind Tunnel Tests Data UAE6 Sequence V Raw Data

**Overview** Sequence V: Tip Plate (F) This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from 5 m/s to 25 m/s, and the yaw angle was held at 0°. The blade pitch angle was 3°. The rotor rotated at 72 RPM. Blade pressure measurements w...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
1 Resources
0 Stars
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UAE6 Wind Tunnel Tests Data UAE6 Sequence W Raw Data

**Overview** Sequence W: Extended Blade (F) This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from 5 m/s to 21 m/s, and the yaw angle was held at 0°. The blade pitch angle was 3°. The rotor rotated at 72 RPM. Blade pressure measureme...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 11, 2018
1 Resources
0 Stars
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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

Energy Innovation Portal

About the Energy Innovation Portal. The Energy Innovation Portal is a one-stop resource for Department of Energy (DOE) Energy Efficiency and Renewable Energy (EERE) technologies. This application enables users to locate technologies developed with DOE funding and available for lic...

Webmaster, . and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

G2Aero Database of Airfoils Curated Airfoils

This dataset contains a curated set of 19,164 airfoil shapes from various applications and the data-driven design space of separable shape tensors (PGA space), which can be used as a parameter space for machine-learning applications focused on airfoil shapes. We constructed the a...

Doronina, O. et al National Renewable Energy Lab NREL

Sep 24, 2024
3 Resources
0 Stars
Curated

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
0 Stars
In curation

Wind Turbine Gearbox Condition Monitoring Vibration Analysis Benchmarking Datasets

Wind turbine condition monitoring (CM) can potentially help the wind industry reduce turbine downtime and operation and maintenance (O&M) cost. NREL CM research has investigated various condition-monitoring techniques such as acoustic emission (AE specifically stress wave), vibrat...

Sheng, S. National Renewable Energy Laboratory

Mar 28, 2014
5 Resources
0 Stars
Curated

Wind Turbine NREL GE 1.5MW SLE wind turbine Reviewed Data

**Overview** This dataset is intended to be a public resource for anyone conducting wind turbine noise research. The data in this set contain noise spectra and equivalent sound pressure levels at 11 measurement stations. The dataset also contains wind turbine operational data and...

Hamilton, N. Wind Energy Technologies Office (WETO)

Nov 30, 2020
1 Resources
0 Stars
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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

UAE6 Wind Tunnel Tests Data UAE6 Sequence 3 Raw Data

**Overview** Sequence 3: Tower Wake Measure (P) Sequence 3 used a downwind, rigid turbine with a 3.4° cone angle. The wind speeds for this sequence corresponded to subcritical [7 m/s], transitional [15 m/s], and supercritical [20 m/s] Reynolds number regimes for the circular cr...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
1 Resources
0 Stars
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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
Publicly accessible

Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth

This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesosc...

Sullivan, P. et al National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
1 Stars
Curated

UAE6 Wind Tunnel Tests Data UAE6 Sequence 6 Raw Data

**Overview** Sequence 6: Shroud Wake Measure (P) This test sequence used a downwind, rigid turbine with a 3.4° cone angle. The wind speeds for this sequence corresponded to subcritical [7 m/s], transitional [15 m/s], and supercritical [20 m/s] Reynolds number regimes for the ci...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

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