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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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Sonic Anemometer BAO Tower, All levels Raw Data
**Overview**
This dataset is used to monitor different atmospheric variables over many levels of the 300-m Boulder Atmospheric Observatory (BAO) tower.
**Data Details**
* Level 00 files contain the high rate non-tilt-corrected measurements.
* Level 01 files contain the high r...
Bianco, L. Wind Energy Technologies Office (WETO)
Feb 28, 2015
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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Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets
This dataset contains turbine and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric conditions. The power outputs were computed using the Gaussian wake model in NREL's FLOw Redirection and Induction in ...
Ramos, D. et al National Renewable Energy Laboratory
Feb 12, 2021
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5 Resources
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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
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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
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EU Energy Statistics 2010 (1990 2007)
[European Commission]: http://ec.europa.eu/about_en.htm
These two datasets include energy statistics for the European Union (EU). The statistics are available from the [European Commission][]. The data includes detailed information about: production, net imports, gross inland con...
Hallett, K. and Commission, E. National Renewable Energy Laboratory
Jul 29, 2014
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Lidar HilFlowS LLNL WindCube v2 EOP Processed Data
**Overview**
The WindCube v2 is a pulsed LIDAR and uses four beams sent in succession in the four cardinal directions along a 28°scanning cone angle to measure horizontal velocity and wind direction. A fifth beam is sent in the vertical direction to measure vertical velocity. Me...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
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EIA Annual Energy Outlook for 2011: All Tables
The EIA's annual energy outlook (AEO) contains yearly projections for a variety of energy-related statistics, for several forecast cases. According to EIA, "under the assumption that current laws and regulations remain unchanged throughout the projections, the AEO2011_ Reference c...
Bush, B. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence H Raw Data
**Overview**
Sequences H, I, and J: Upwind Baseline (F), Upwind Low Pitch (F), Upwind
High Pitch (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. Yaw angles of –30 to 180° were achieved at low wind speeds,...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
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UAE6 Wind Tunnel Tests Data UAE6 Sequence I Raw Data
**Overview**
Sequences H, I, and J: Upwind Baseline (F), Upwind Low Pitch (F), Upwind
High Pitch (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. Yaw angles of –30° to 180° were achieved at low wind speed...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence J Raw Data
**Overview**
Sequences H, I, and J: Upwind Baseline (F), Upwind Low Pitch (F), Upwind
High Pitch (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. Yaw angles of –30° to 180° were achieved at low wind speed...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
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UAE6 Wind Tunnel Tests Data UAE6 Sequence M Raw Data
**Overview**
Sequence M: Transition Fixed (P)
Test sequence M used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from
5 m/s to 15 m/s. Yaw angles ranged from 0° to 90°. The blade tip pitch was 3°. The rotor rotated
at 72 RPM. Blade pressure measurement...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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Long-run Marginal Emission Rates for Electricity Workbooks for 2022 Cambium Data
These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. A LRMER is an estimate of the rate of emissions that would be either induced or avoided by a change in electric demand, taking into account how the change could ...
Gagnon, . et al Grid Planning and Analysis Center
Jan 15, 2023
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UAE6 Wind Tunnel Tests Data UAE6 Sequence Q Raw Data
**Overview**
Sequence Q: Dynamic Inflow (P)
This sequence was designed to characterize the dynamic inflow variation using the five-hole
probes that extend upwind of the leading edge of the blade. This test sequence used an upwind,
rigid turbine with a 0° cone angle. The wind sp...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 11, 2018
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UAE6 Wind Tunnel Tests Data UAE6 Sequence S Raw Data
**Overview**
Sequences S, T, and U: Upwind, No Probes (F); Upwind 2° Pitch (F);
Upwind 4° Pitch (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. Yaw angles of 0° to 180° were achieved for Sequence S, but ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
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UAE6 Wind Tunnel Tests Data UAE6 Sequence T Raw Data
**Overview**
Sequences S, T, and U: Upwind, No Probes (F); Upwind 2° Pitch (F);
Upwind 4° Pitch (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. Yaw angles of 0° to 180° were achieved for Sequence S, but ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
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UAE6 Wind Tunnel Tests Data UAE6 Sequence U Raw Data
**Overview**
Sequences S, T, and U: Upwind, No Probes (F); Upwind 2° Pitch (F);
Upwind 4° Pitch (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. Yaw angles of 0° to 180° were achieved for Sequence S, but ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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Annual Average Modeled Wind Speed for Puerto Rico and the Virgin Islands at a 100 Meter Hub Height
This is supplemental data to the 50 m height data set that was validated by NREL and wind energy meteorological consultants in 2007. The data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m spatial re...
Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
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Annual Average Modeled Wind Speed (m/s) for Puerto Rico and the Virgin Islands at a 70 Meter Hub Height.
This is supplemental data to the 50 m height data set that was validated by NREL and wind energy meteorological consultants in 2007. The data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m spatial re...
Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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Long-run Marginal CO2 Emission Rates Workbooks for 2020 Standard Scenarios Cambium Data
This dataset has been superseded by a new set of workbooks that can be found here: https://data.nrel.gov/submissions/183
These workbooks contain modeled estimates of long-run marginal CO2 emission rates (LRMER) for the contiguous United States. The LRMER is an estimate of the r...
Gagnon, . et al Energy Systems Integration
Aug 12, 2021
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12 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
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4 Resources
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2024 Standard Scenarios: A U.S. Electricity Sector Outlook
This data corresponds to the 2024 Standard Scenarios report, which contains a suite of forward-looking scenarios of the possible evolution of the U.S. electricity sector through 2050.
These files contain modeled projections of the future. Although we strive to capture relevant p...
Gagnon, P. et al National Renewable Energy Laboratory (NREL)
Dec 30, 2024
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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
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wfip2.model/realtime.hrrr_esrl.graphics.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)
Dec 14, 2015
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