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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
5 Resources
0 Stars
Curated
NWTC Ceilometer (1) Pre-campaign / Raw Data
**Overview**
This instrument will be testing the data transfer process pre-before deploying the campaign. The netCDF L1 data file contains level 1 (L1) data from the ceilometer.
**Data Quality**
Raw data from ceilometer
Hamilton, N. and Zalkind, D. Wind Energy Technologies Office (WETO)
Sep 20, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
NWTC Ceilometer (1) Pre-campaign / Reviewed Data
**Overview**
This instrument will be testing the data transfer process before deploying the campaign. The netCDF L2 data file from the ceilometer contains level 2 (L2) data that has gone through the precalculation service and averaging.
The profile is set to 4500 m (14 764 ft).
...
Hamilton, N. and Zalkind, D. Wind Energy Technologies Office (WETO)
Sep 20, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
NWTC Ceilometer (1) Pre-campaign / Derived Data
**Overview**
This instrument will be testing the data transfer process before deploying the campaign.
The netCDF L3 data file has level 3 (L3) data that have gone through the calculation service and contains all the data from the algorithms, including mixing layer height values ...
Hamilton, N. and Zalkind, D. Wind Energy Technologies Office (WETO)
Sep 20, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Tower TTU (SWiFT) Tower, All levels Raw Data
**Overview**
This dataset includes a diurnal cycle with a consistent Convective-Neutral-Stable overnight transition after a frontal passage.
**Data Details**
These data have been provided by Texas Tech University from their 200-m meteorological tower.
**Data Quality**
See rep...
Ennis, B. Wind Energy Technologies Office (WETO)
Nov 07, 2013
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
4 Resources
0 Stars
Curated
U.S. State Wind Resource Potential
Estimates for each of the 50 states and the entire United States showing the windy land area with a gross capacity factor (without losses) of 30% and greater at 80-m height above ground and the wind energy potential from development of the “available” windy land area after exc...
Wood, J. and America, W. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Lidar LMCT WTX WindTracer, Gordon Ridge Raw Data
**Overview**
Long-range scanning Doppler lidar located on Gordon Ridge. The WindTracer provides high-resolution, long-range lidar data for use in the WFIP2 program.
**Data Details**
The system is configured to take data in three different modes. All three modes take 15 minutes ...
Barr, K. Wind Energy Technologies Office (WETO)
Nov 19, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
wfip2.model/retro.hrrr.01.fcst.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
wfip2.model/retro.hrrr.01.fcst.02
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
wfip2.model/retro.hrrr.02.fcst.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
wfip2.model/retro.hrrr.02.fcst.02
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
wfip2.model/retro.rap.01.fcst.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
wfip2.model/retro.rap.02.fcst.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Microwave Radiometer UND Radiometrics MWR, Rufus Reviewed Data
**Overview**
Reviewed dataset that also includes post-reprocessed level1 and level2 data files from November 2015 to May 2016 (refer to "Additional Information").
Monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) u...
Leo, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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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
Publicly accessible
1 Resources
0 Stars
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Ceilometer ND Ceilometer, Wasco Airport Raw Data
**Overview**
Measurements of cloud base height and vertical visibility using pulsed infrared (910 nm) diode laser LIDAR technology. The instrument can detect up to three cloud layers simultaneously.
**Data Details**
Measurements taken in the standard measuring mode, where the C...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Jan 14, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar ND Halo Scanning Doppler, Boardman Raw Data
**Overview**
The University of Notre Dame (ND) scanning lidar dataset used for the WFIP2 Campaign is provided. The raw dataset contains the radial velocity and backscatter measurements along with the beam location and other lidar parameters in the header.
**Data Details**
1) ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 12, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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Sodar ND Scintec MFAS Wind Profiler with RASS, Rufus Raw Data
**Overview**
The data provide vertical mean profiles of wind and temperature.
**Data Details**
* Data averaged over an interval of 30 minutes.
* Time stamp is included in each data file.
* Location: John Day/Rufus Water Treatment Plant (45.690842,-120.745751).
* Site Elevat...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 01, 2015
1 Resources
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1 Resources
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Develop and verify soil/structure interaction for pile/foundation interaction
**Overview**
Phase II of the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) project was used to verify the implementation of a new soil-structure interaction (SSI) model for use within offshore wind turbine modeling software. The REDWIN...
Robertson, A. Wind Energy Technologies Office (WETO)
Jun 02, 2022
1 Resources
0 Stars
Publicly accessible
1 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
5 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
2 Resources
1 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
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
1 Resources
0 Stars
Publicly accessible