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wfip2.model/realtime.hrrr_wfip2.graphics.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)
Dec 16, 2015
1 Resources
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1 Resources
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wfip2.model/refcst.coldstart.icbc.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)
Jan 31, 2016
1 Resources
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1 Resources
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Maximum demand charge rates for commercial and industrial electricity tariffs in the United States
NREL has assembled a list of U.S. retail electricity tariffs and their associated demand charge rates for the Commercial and Industrial sectors. The data was obtained from the Utility Rate Database. Keep the following information in mind when interpreting the data:
(1) These data...
McLaren. . et al National Renewable Energy Laboratory
Sep 19, 2017
1 Resources
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1 Resources
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Lidar DTU SpinnerLidar Reviewed Data
**Overview**
Scaled Wind Farm Technology (SWiFT) Facility meteorological tower (MET), turbine, and Technical University of Denmark (DTU) SpinnerLidar data acquired on 20161216 UTC during a neutral atmospheric boundary layer inflow at a single focus distance of 2.5 D (D=27 m).
**...
Kelley, C. and Naughton, B. Wind Energy Technologies Office (WETO)
Dec 15, 2016
1 Resources
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1 Resources
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Wind Turbine SWiFT southeast WTGa1 Reviewed Data
**Overview**
Scaled Wind Farm Technology (SWiFT) Facility meteorological tower (MET), turbine, and Technical University of Denmark (DTU) SpinnerLidar data acquired on 20161216 UTC during a neutral atmospheric boundary layer inflow at a single focus distance of 2.5 D (D=27 m).
**...
Kelley, C. and Naughton, B. Wind Energy Technologies Office (WETO)
Dec 15, 2016
1 Resources
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1 Resources
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Annual Federal Government Energy Use and Costs by Agency, 1975 2012
Data set presents historical energy use in native units and billion site-delivered Btu and costs (in 2012 dollars) aggregated at the top-tier Federal agency level for the fiscal years 1975 through 2012. Data is grouped into two main end-use sectors, facility and mobility energy u...
Tremper, C. and (EERE), O. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
1 Resources
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In curation
1 Resources
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In curation
Nevada High Resolution Wind Resource
Annual average wind resource potential for the state of Nevada, United States at a 50 meter height.
The wind power resource estimates were produced by TrueWind Solutions using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This m...
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
New Mexico High Resolution Wind Resource
Annual average wind resource potential for the state of New Mexico at a 50 meter height.
The wind power resource estimates were produced by TrueWind Solutions using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been ...
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
Surface Meteorological Station SWiFT southwest METa1 Reviewed Data
**Overview**
Scaled Wind Farm Technology (SWiFT) Facility meteorological tower (MET), turbine, and Technical University of Denmark (DTU) SpinnerLidar data acquired on 20161216 UTC during a neutral atmospheric boundary layer inflow at a single focus distance of 2.5 D (D=27 m).
**...
Kelley, C. and Naughton, B. Wind Energy Technologies Office (WETO)
Dec 15, 2016
1 Resources
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1 Resources
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Iowa High Resolution Wind Resource
Annual average wind resource potential for the state of Iowa 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 generate...
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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In curation
University of Louisiana at Lafayette
A partnership with the University of Louisiana and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global, direct, and diffuse irradiance t...
Andreas and RitterNational Renewable Energy Laboratory
Feb 13, 2024
1 Resources
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1 Resources
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Airfoil Computational Fluid Dynamics 2k shapes, 25 AoA's, 3 Re numbers
This dataset contains aerodynamic quantities including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) for 1,830 airfoil shapes computed using the HAM2D CFD (computational fluid dynamics) model. The airfoil shapes w...
Ramos, D. et al National Renewable Energy Laboratory (NREL)
Feb 10, 2023
3 Resources
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3 Resources
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WIND Toolkit Long-Term Ensemble Dataset
WIND Toolkit Long-term Ensemble Dataset (WTK-LED), an updated version of the meteorological WIND Toolkit, is a meteorological dataset providing high-resolution time series, including interannual variability and model uncertainty of wind speed at every modeling grid point to indica...
Wang, J. et al National Renewable Energy Laboratory (NREL)
Jan 24, 2024
7 Resources
1 Stars
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7 Resources
1 Stars
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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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ANL WRF-LES Convective TTU
**Overview**
This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical co...
Kosovic, B. Wind Energy Technologies Office (WETO)
Jul 03, 2012
1 Resources
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1 Resources
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ANL WRF-LES Neutral TTU
**Overview**
This dataset includes large-eddy simulation (LES) output from a neutrally stratified atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on Aug. 17, 2012. The dataset was used to assess LES models for simulation of canon...
Kosovic, B. Wind Energy Technologies Office (WETO)
Aug 16, 2012
1 Resources
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1 Resources
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LANL Convective TTU
**Overview**
This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical co...
Kosovic, B. Wind Energy Technologies Office (WETO)
Jul 03, 2012
1 Resources
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1 Resources
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LANL Neutral TTU
**Overview**
This dataset includes large-eddy simulation (LES) output from a neutrally stratified atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on Aug. 17, 2012. The dataset was used to assess LES models for simulation of canon...
Kosovic, B. Wind Energy Technologies Office (WETO)
Aug 16, 2012
1 Resources
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1 Resources
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LANL WRF-LES Convective TTU
**Overview**
This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical co...
Kosovic, B. Wind Energy Technologies Office (WETO)
Jul 03, 2012
1 Resources
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1 Resources
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LANL WRF-LES Neutral TTU
**Overview**
This dataset includes large-eddy simulation (LES) output from a neutrally stratified atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on Aug. 17, 2012. The dataset was used to assess LES models for simulation of canon...
Kosovic, B. Wind Energy Technologies Office (WETO)
Aug 16, 2012
1 Resources
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1 Resources
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LLNL WRF-LES Neutral TTU
**Overview**
This dataset includes large-eddy simulation (LES) output from a neutrally stratified atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on Aug. 17, 2012. The dataset was used to assess LES models for simulation of canon...
Kosovic, B. Wind Energy Technologies Office (WETO)
Aug 16, 2012
1 Resources
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1 Resources
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NREL SOWFA Neutral TTU
**Overview**
This dataset includes large-eddy simulation (LES) output from a neutrally stratified atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on Aug. 17, 2012. The dataset was used to assess LES models for simulation of canon...
Kosovic, B. Wind Energy Technologies Office (WETO)
Aug 16, 2012
1 Resources
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1 Resources
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PNNL WRF-LES Convective TTU
**Overview**
This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical co...
Kosovic, B. Wind Energy Technologies Office (WETO)
Jul 03, 2012
1 Resources
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1 Resources
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SNL SONIC Convective TTU
**Overview**
This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical co...
Kosovic, B. Wind Energy Technologies Office (WETO)
Jul 03, 2012
1 Resources
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1 Resources
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Radar ESRL Wind Profiler with RASS, Wasco Airport Derived Data
**Overview**
Profiles of turbulence dissipation rate for 15-minute intervals, time-stamped at the beginning of the 15-minute period, during the final 30 minutes of each hour. During that time, the 915-MHz wind profiling radar was in an optimized configuration with a vertically po...
McCaffrey, K. Wind Energy Technologies Office (WETO)
Oct 12, 2015
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1 Resources
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