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Quantifying and Monetizing Renewable Energy Resiliency

As part of the seed LDRD in 2017 we generated catastrophe models to look at the value of resiliency from an insurance perspective. These data sets reflect the inputs and outputs of that analysis.
Lisell. . et al National Renewable Energy Laboratory
Mar 13, 2018
3 Resources
0 Stars
Publicly accessible

USGS Energy Geochemistry Database

The Energy Geochemistry Data Base (EGDB) contains chemical analysis data for crude oil, natural gas, coal, water, and rock samples analyzed by the USGS Ene...
Hallett, K. and USGS, . National Renewable Energy Laboratory
Dec 31, 1988
2 Resources
0 Stars
In curation

NREL GIS Data: Alaska High Resolution Wind Resource

Annual average wind resource potential for the main section of the state of Alaska. Note: we do not have a complete 50m coverage for the entire state. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under co...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Arkansas High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for the state of Arkansas at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential within the state of Arkansas. _Supplemental Information:_ This data set has been validated by NREL ...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Arizona High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for the state of Arizona at a 50 meter height. This dataset will be replaced when the southwest region has been completed, and the data may change when this region has been completed. _Purpose:_ Provide information on the win...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Alaska Low Resolution Wind Resource

Annual average wind resource potential for the United States (low resolution) ### License Info DISCLAIMER NOTICE This GIS data was developed by the National Renewable Energy Laboratory (?NREL?), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Depa...
Twong, . and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Continental United States Low Resolution Wind Resource

Annual average wind resource potential for the United States (low resolution) ### License Info DISCLAIMER NOTICE This GIS data was developed by the National Renewable Energy Laboratory (?NREL?), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Depa...
Twong, . and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

BUTTER Empirical Deep Learning Dataset

The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
4 Resources
0 Stars
Publicly accessible

NREL GIS Data: Hawaii Low Resolution Wind Resource

Annual average wind resource potential of Hawaii (low resolution) ### License Info DISCLAIMER NOTICE This GIS data was developed by the National Renewable Energy Laboratory (NREL), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Department of Ener...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: U.S. Atlantic Coast Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Topology-Based Machine-Learning for Modeling Power-System Responses to Contingencies

This is the companion dataset to the presentation NREL/PR-6A20-77485, which was presented at the 2020 Joint Statistical Meeting on August 3, 2020. Developed for the machine-learning predictive modeling of power-system responses to disruptions, it contains results of power-system c...
BushNational Renewable Energy Laboratory
Aug 01, 2020
2 Resources
0 Stars
Publicly accessible

NREL GIS Data: Afghanistan and Pakistan High Resolution Wind

Shapefile for NREL's high-resolution Afghanistan and Pakistan wind resource data. ### License Info DISCLAIMER NOTICE This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. De...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Texas High Resolution Wind Resource

Annual average wind resource development potential for the state of Texas. This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile is in a UTM zone 19,...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Wisconsin High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for Wisconsin at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential in Wisconsin. _Supplemental Information:_ This data set has been validated by NREL and wind energy meteorologic...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

HERO WEC V1.0 WEC-Sim Detailed Simulation Runs and Summary Data

Data sets from simulation runs include 144 wave cases that were run based on the WEC-Sim model (https://mhkdr.openei.org/submissions/483). The 144 wave cases represent waves with the following wave height and wave period ranges: Significant Wave Height: 0.25 4.0m in 0.25m incre...
Jenne, S. National Renewable Energy Laboratory
Aug 12, 2022
9 Resources
0 Stars
Publicly accessible

HERO WEC 2024 Electrical Configuration Deployment Data

The following submission includes raw and processed electrical configuration deployment data from the in water deployment of NREL's Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC), in the form of parquet files, TDMS files, CSV files, bag files, and MATLAB w...
Jenne, S. et al National Renewable Energy Laboratory
Apr 18, 2024
16 Resources
0 Stars
Publicly accessible

NREL GIS Data: Hawaii High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for the state of Hawaii at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential within the state of Hawaii. _Supplemental Information:_ This data set has been validated by NREL and ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: South Carolina High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for the state of South Carolina at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential within the state of South Carolina. _Supplemental Information:_ This data set has been valida...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Seasonal and diurnal data from Afghanistan surface weather stations

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 gra...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Georgia High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for the state of Georgia at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential within the state of Georgia. _Supplemental Information:_ This data set has been validated by NREL an...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Alaska Low Resolution Concentrating Solar Power Resource

_Abstract:_ Monthly and annual average solar resource potential for Alaska. _Purpose:_ Provide information on the solar resource potential for Alaska. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, o...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
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
2 Stars
Publicly accessible

Admiralty Inlet Hub-Height Turbulence Measurements from June 2012

This data is from measurements at Admiralty Head, in Admiralty Inlet. The measurements were made using an IMU equipped ADV mounted on a mooring, the 'Tidal Turbulence Mooring' or 'TTM'. The inertial measurements from the IMU allows for removal of mooring motion in post processing....
Kilcher, L. National Renewable Energy Laboratory
Jun 18, 2012
7 Resources
0 Stars
Publicly accessible

Admiralty Inlet Advanced Turbulence Measurements: May 2015

This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in May of 2015. The measurements were made using Inertial Motion Unit (IMU) equipped ADVs mounted on a 'StableMoor' (Manufacturer: DeepWater Buoyancy) buoy and a Tidal Turbulence Mooring (TTM). Thes...
Kilcher, L. National Renewable Energy Laboratory
May 18, 2015
18 Resources
0 Stars
Publicly accessible

In-Situ Blade Strain Measurements of a Crossflow Turbine Operating in a Tidal Flow

This data was collected between October 25 and December 12 of 2022 at the University of New Hampshire (UNH) and Atlantic Marine Energy Center (AMEC) turbine deployment platform (TDP). The goal was to collect blade strain data from a crossflow turbine operating in a tidal flow. A t...
Bharath, A. et al National Renewable Energy Laboratory
Dec 16, 2022
17 Resources
0 Stars
Publicly accessible
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