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Surface Meteorological Station ANL 10m tower, Walla Walla Raw Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 28, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station ANL 10m tower, Walla Walla Reviewed Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 30, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station ANL 10m tower, Yakima Raw Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 28, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station ANL 10m tower, Yakima Reviewed Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 30, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
2018 Annual Technology Baseline ATB Cost and Performance Data for Electricity Generation Technologies Interim Data Without Geothermal Updates
Each year since 2015 NREL has presented Annual Technology Baseline ATB in a workbook that contains detailed cost and performance data both current and projected for renewable and conventional technologies. The workbook includes a spreadsheet for each technology. This workbook prov...
Augustine. . et al National Renewable Energy Laboratory
Jun 29, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
Afghanistan Wind Power Density at 50-m Above Ground Level GIS Data
This dataset was developed by the National Renewable Energy Laboratory (NREL) for the [U.S. Agency for International Development'](http://www.usaid.gov/)s (USAID) [South Asia Regional Initiative for Energy Cooperation](http://www.sari-energy.org/) (SARI/E). The dataset contains Wi...
Langle, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
Error-Level-Controlled Synthetic Forecasts for Renewable Generation
Renewable energy resources, including solar and wind energy, play a significant role in sustainable energy systems. However, the inherent uncertainty and intermittency of renewable generation pose challenges to the safe and efficient operation of power systems. Recognizing the imp...
Zhang, X. et al National Renewable Energy Laboratory (NREL)
Jun 01, 2021
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
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
1 Stars
Publicly accessible
4 Resources
1 Stars
Publicly accessible
NREL Solar Radiation Research Laboratory (SRRL): Baseline Measurement System (BMS), Golden, Colorado
The Solar Radiation Research Laboratory (SRRL) was established at the Solar Energy Research Institute (now NREL) in 1981 to provide continuous measurements of the solar resources, outdoor calibrations of pyranometers and pyrheliometers, and to characterize commercially available i...
Stoffel and AndreasNational Renewable Energy Laboratory
May 04, 2015
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Lidar CU WindCube V1 Profiler, Troutdale Raw Data
**Overview**
Wind and lidar turbulence profiles from 40 m to 220 m above the surface.
**Data Quality**
These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the 22 dB CNR quality control threshold.
**Uncertainty**
Line-of-sight measuremen...
Lundquist, J. Wind Energy Technologies Office (WETO)
Nov 19, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar CU WindCube V1 Profiler, Wasco Airport Raw Data
**Overview**
Wind and lidar turbulence profiles from 40 m to 220 m above the surface.
**Data Quality**
These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the 22 dB CNR quality control threshold.
**Uncertainty**
Line-of-sight measuremen...
Lundquist, J. Wind Energy Technologies Office (WETO)
Feb 22, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar CU WindCube V2 Profiler, Gordons Ridge Raw Data
**Overview**
Wind and lidar turbulence profiles from 40 m to 220 m above the surface.
**Data Quality**
These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the 22 dB CNR quality control threshold.
**Uncertainty**
Line-of-sight measuremen...
Lundquist, J. Wind Energy Technologies Office (WETO)
Nov 15, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Gearbox Reliability Collaborative Phase 3 Gearbox 2 Test
The National Renewable Energy Laboratory (NREL) Gearbox Reliability Collaborative (GRC) was established by the U.S. Department of Energy in 2006; its key goal is to understand the root causes of premature gearbox failures and improve their reliability. The GRC uses a combined gear...
Keller and RobbNational Renewable Energy Laboratory
May 02, 2016
17 Resources
0 Stars
Publicly accessible
17 Resources
0 Stars
Publicly accessible
Transparent Cost Database: Generation, BioFuels, Vehicle Levelized Costs
For emerging energy technologies, a variety of cost and performance numbers are cited in presentations and reports for present-day characteristics and potential improvements. Amid a variety of sources and methods for these data, the Office of Energy Efficiency and Renewable Energy...
Staff, T. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
7 Resources
1 Stars
In curation
7 Resources
1 Stars
In curation
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
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
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
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.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
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
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
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.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