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Wind Turbine / Reviewed Data

**Overview** The SUMR-D CART2 turbine data are recorded by the CART2 wind turbine's supervisory control and data acquisition (SCADA) system for the Advanced Research Projects Agency–Energy (ARPA-E) SUMR-D project located at the National Renewable Energy Laboratory (NREL) Flatir...

Scholbrock, A. Wind Energy Technologies Office (WETO)

Oct 04, 2019
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, J. et al National Renewable Energy Laboratory

Sep 19, 2017
1 Resources
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Alaska Meteorology, Energy, and Transmission (MET) Toolkit

The Alaska MET (Meteorology, Energy, and Transmission) Toolkit is the National Laboratory of the Rockies' (NLR) new flagship atmospheric dataset, designed to support comprehensive long-term planning and operations across the entire power sector. Serving as the regional counterpart...

Buster, G. and Turner, D. National Laboratory of the Rockies (NLR)

Jun 30, 2026
5 Resources
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Sodar NREL Scintex SFAS Wind Profiler, Condon Raw Data

**Overview** The dataset includes 15-minute average wind speed and direction records from 10 m to 250 m above ground level (AGL) in 5-m range gates. Data were collected by a Scintec SFAS wind profiler installed at the Condon State Airport in Oregon, about 1.8 km northeast of the ...

Scott, G. and Jager, D. Wind Energy Technologies Office (WETO)

Nov 19, 2015
1 Resources
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Sodar NREL Scintex SFAS Wind Profiler, Condon Reviewed Data

Scott, G. and Jager, D. Wind Energy Technologies Office (WETO)

Nov 19, 2015
1 Resources
0 Stars
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Annual Average Modeled Wind Speed for Puerto Rico and the Virgin Islands

Shapefiles of annual average modeled wind speed for Puerto Rico and the Virgin Islands at 70 and 100 m hub heights. These shapefiles were generated from a raster dataset with a 200 m resolution, in a UTM zone 19, datum WGS 84 projection system. This is supplemental data to the 50 ...

Heimiller, D. National Renewable Energy Laboratory

Nov 25, 2014
6 Resources
0 Stars
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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
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Visual Impact Assessment of the Existing Land-based Wind Turbine Fleet of the Contiguous United States

This data submission contains GIS raster datasets mapping the visual impacts of the land-based wind turbine fleet in the Contiguous United States (CONUS). Two datasets are included, each presenting a different quantification of visual impacts: 1. Cumulative visual magnitude, meas...

Gleason, M. et al National Renewable Energy Lab

Mar 19, 2024
3 Resources
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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
2 Resources
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Life Cycle Emissions Factors for Electricity Generation Technologies

This dataset consists of a table containing the distribution of literature estimates of greenhouse gas emissions for the following electricity generation and storage technologies: biopower, coal, concentrating solar power, geothermal, hydrogen storage, hydropower, lithium-ion batt...

Nicholson, S. and Heath, G. National Renewable Energy Laboratory

Aug 23, 2021
2 Resources
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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
2 Stars
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2024 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 (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provid...

Sergi, B. et al National Renewable Energy Laboratory (NREL)

Mar 25, 2025
9 Resources
0 Stars
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Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)

The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the contiguous United States under various climate change scenarios. Sup3rCC is downscaled ...

Buster, G. et al National Renewable Energy Laboratory (NREL)

Apr 19, 2023
7 Resources
2 Stars
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