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UAE6 Wind Tunnel Tests Data UAE6 Sequence N Raw Data

**Overview** Sequence N: Sin AOA, Rotating (P) This sequence was designed to quantify the blade 3-D unsteady aerodynamic response in the presence of rotational influences by varying blade pitch angle. Test sequence N used an upwind, rigid turbine with a 0° cone angle. The wind ...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
1 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
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UAE6 Wind Tunnel Tests Data UAE6 Sequence 8 Raw Data

**Overview** Sequences 8 and 9: Downwind Sonics (F,P) and Downwind Sonics Parked (P) 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. Yaw angles of 0° to 60° were achieved. The blade tip pitch was 3°. The roto...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence 9 Raw Data

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence O Raw Data

**Overview** Sequence O: Sin AOA, Parked (P) This sequence was designed to quantify the blade 3-D unsteady aerodynamic response in the absence of rotational influences by varying blade pitch angle. This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind ...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
1 Resources
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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

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

North and South Dakota High Resolution 50m Wind Resource

Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.

Langle, N. and Lopez, A. National Renewable Energy Laboratory

Nov 25, 2014
4 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

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...