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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
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
Miller & Keith (2018) Wind Plant Data
Information on the 430 wind power plants used in 'Observation-based solar and wind power capacity factors and power densities’ by Miller & Keith (2018, Environ. Res. Lett. 13 104008), initially based on the Wind Power Plant locations released by the US Energy Information Adminis...
Miller, L. Harvard University
Nov 22, 2018
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
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
NASA Building 12 Wind Turbines Phase 1 Data
Completed in December 2014, the NASA Building 12 installation consists of four Urban Green Energy Eddy GT turbines. The NASA Building 12 project involved detailed pre-construction and post-construction measurements. NREL researchers initiated a measurement campaign consisting of m...
Fields, J. and NREL, . National Renewable Energy Laboratory
Dec 28, 2015
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
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
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Wind Turbine Transmission Setbacks: Ordinances (2022) and Extrapolated Trends, 115HH 170RD
This dataset represents wind energy setback requirements from transmission based on existing county ordinances as of April 2022. In cases where counties lacked specific transmission setback regulations, a median setback equivalent to 1.1 times the turbine tip-height was applied. T...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Structure Setbacks: Ordinances (2022) and Extrapolated Trends, 115HH 170RD
This dataset represents wind energy setback requirements from structures based on existing county ordinances as of April 2022. In cases where counties lacked specific structure setback regulations, a median setback equivalent to 2 times the turbine tip-height was applied. The turb...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Road Setbacks: Ordinances (2022) and Extrapolated Trends, 115HH 170RD
This dataset represents wind energy setback requirements from roads based on existing county ordinances as of April 2022. In cases where counties lacked specific road setback regulations, a median setback equivalent to 1.1 times the turbine tip-height was applied. The turbine para...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Water Setbacks: Ordinances (2022) and Extrapolated Trends, 115HH 170RD
This dataset represents wind energy setback requirements from water based on existing county ordinances as of April 2022. In cases where counties lacked specific water setback regulations, a setback equivalent to 1.1 times the turbine tip-height was applied. The turbine parameters...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Oil & Gas Pipeline Setbacks: Ordinances (2022) and Extrapolated Trends, 115HH 170RD
This dataset represents wind energy setback requirements from oil and gas pipelines based on existing county ordinances as of April 2022. In cases where counties lacked specific oil and gas pipeline setback regulations, a median setback equivalent to 1.1 times the turbine tip-heig...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Railroad Setbacks: Ordinances (2022) and Extrapolated Trends, 115HH 170RD
This dataset represents wind energy setback requirements from railroad based on existing county ordinances as of April 2022. In cases where counties lacked specific railroad setback regulations, a median setback equivalent to 1.1 times the turbine tip-height was applied. The turbi...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...
Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)
May 04, 2021
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth (quantities in GW and PWh)
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. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
1 Stars
In curation
1 Resources
1 Stars
In curation
Wind Turbine Transmission Setbacks: Ordinances (2022), 115HH 170RD
This dataset represents wind energy setback requirements from transmission based on existing county ordinances as of April 2022. The turbine parameters used were a hub-height of 115 meters and a rotor diameter of 170 meters, as obtained from the Annual Technology Baseline (ATB) 20...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Structure Setbacks: Ordinances (2022), 115HH 170RD
This dataset represents wind energy setback requirements from structures based on existing county ordinances as of April 2022. The turbine parameters used were a hub-height of 115 meters and a rotor diameter of 170 meters, as obtained from the Annual Technology Baseline (ATB) 2022...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Water Setbacks: Ordinances (2022), 115HH 170RD
This dataset represents wind energy setback requirements from water based on existing county ordinances as of April 2022. The turbine parameters used were a hub-height of 115 meters and a rotor diameter of 170 meters, as obtained from the Annual Technology Baseline (ATB) 2022. For...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Road Setbacks: Ordinances (2022), 115HH 170RD
This dataset represents wind energy setback requirements from roads based on existing county ordinances as of April 2022. The turbine parameters used were a hub-height of 115 meters and a rotor diameter of 170 meters, as obtained from the Annual Technology Baseline (ATB) 2022. For...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Railroad Setbacks: Ordinances (2022), 115HH 170RD
This dataset represents wind energy setback requirements from railroad based on existing county ordinances as of April 2022. The turbine parameters used were a hub-height of 115 meters and a rotor diameter of 170 meters, as obtained from the Annual Technology Baseline (ATB) 2022. ...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Freedom Field Site Data: June 14, 2011
Freedom Field is a not-for-profit organization formed to facilitate development and commercialization of renewable energy solutions. The organization has installed a variety of renewable energy generating technologies at their facility (located at Rock River Water Reclamation in R...
Hallett, K. and Field, F. National Renewable Energy Laboratory
Jul 18, 2011
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
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 rapid 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 Space Ad...
Zeng, Z. et al Argonne National Laboratory
Jul 14, 2024
3 Resources
0 Stars
Curated
3 Resources
0 Stars
Curated
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
4 Resources
0 Stars
Curated
4 Resources
0 Stars
Curated
NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level
GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL?s Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using win...
Heimiller, D. et al National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
SWERA: Solar and Wind Energy Resource Assessment
The Solar and Wind Energy Resource Assessment (SWERA) Programme was a collaboration of worldwide partners with a mission to provide information on renewable energy resources for countries and regions around the world. Funding and support for the SWERA Programme concluded in 2011, ...
Langle, N. National Renewable Energy Laboratory
Dec 21, 2017
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy
The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...
Phillipes, C. et al National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
NREL Global Offshore Wind GIS Data
GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ).
Wind resource based on NOAA Blended Sea Winds and monthly wind speed at 30km resolution from 1987-2005, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average >= 10 months o...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation