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Illinois High Resolution Wind Resource
Annual average wind resource potential of Illinois at a 50 meter height.
This data set was produced and validated by NREL using their WRAM model. This shapefile was generated from a raster dataset with a 1000 m resolution, in a Transverse Mercator projection with the following ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
Pakistan Wind Resources
GIS data for Pakistan's wind resources in graphical files of seasonal and diurnal data from surface weather stations, graphical files of seasonal and diurnal data from Pakistan Meteorological Department (PMD), and Wind Power Density at 50-m AGL (above ground level) GIS data. The g...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
In curation
5 Resources
0 Stars
In curation
USLCI Database_Electricity, at Grid, US, 2008
Gate to gate life cycle inventory (LCI) data for the US national grid. Includes generation and transmission of electricity for US electricity grid. Representative of year 2008 mix of fuels used for utility electricity generation in US. Fuels include biomass, coal, petroleum, geo...
Carpenter, A. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
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In curation
Combined Wind/Wave Hurricane Model
The Combined Hurricane Model data is a collaboration between the National Renewable Energy Laboratory (NREL) and researchers at the University of Miami and University of Texas at Austin. The model is unique in that it offers time-aligned predictions of full field atmospheric data ...
Phillips, C. and Laboratory, N. National Renewable Energy Laboratory
May 06, 2015
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
Annual Carbon Dioxide Emissions (2005 2009)
Total annual carbon dioxide emissions by country, 2005 to 2009 (million metric tons). Compiled by Energy Information Administration (EIA).
National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
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In curation
1 Resources
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In curation
Electricity Generation and Consumption by State (2008 )
Provides total annual electricity consumption by sector (residential, commercial and industrial) for all states in 2008, reported in GWh, and total electricity generation by sector (e.g. wind, solar, nuclear, coal) for all states in 2008, reported in GWh.
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
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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
2 Resources
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In curation
Bureau of Land Management (BLM) Public Lands in geothermal potential area
The dataset is a GIS layer displaying BLM public lands that lie within an area that has geothermal potential. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data.
### License Info
Open information http://www.doi.gov/privacy.cfm
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
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2 Resources
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National Forest System Lands in geothermal potential area
A GIS layer from the BLM nationwide PEIS of lands within the U.S. National Forest system that contain geothermal potential. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data.
### License Info
Made open by BLM. http://www.doi.gov/privacy.cfm
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
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2 Resources
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Wind Resources in Alaska
Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and...
Hallett, K. and (AEDI), A. National Renewable Energy Laboratory
Dec 30, 2006
2 Resources
0 Stars
In curation
2 Resources
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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
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Publicly accessible
4 Resources
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Publicly accessible
Curated Modeled Fault Data Set
The curated fault model simulation data set consists of tagged and fully-described time series representing simulated faults for the AFDD test building (ORNLs Flexible Research Platform (FRP)), including baseline performance, faulty performance, and corresponding energy impact. A ...
Kim, J. and Leach, M. National Renewable Energy Laboratory
Jun 24, 2019
7 Resources
0 Stars
Curated
7 Resources
0 Stars
Curated
Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth
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. et al National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
1 Stars
Curated
2 Resources
1 Stars
Curated
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
The BuildingsBench datasets consist of:
Buildings-900K: A large-scale dataset of 900K buildings for pretraining models on the task of short-term load forecasting (STLF). Buildings-900K is statistically representative of the entire U.S. building stock.
7 real residential and com...
Emami, P. and Graf, P. National Renewable Energy Laboratory
Dec 31, 2018
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
NREL MOIS Data for NWEI Azura July 2016
NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navys Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, H...
Nelson, E. National Renewable Energy Laboratory
Sep 25, 2016
18 Resources
0 Stars
Publicly accessible
18 Resources
0 Stars
Publicly accessible
Competing Use Analysis for Offshore Renewables and Subsea Cables
Demand for abundant and diverse resources in the oceans is growing, necessitating marine spatial planning. To inform development of Marine Hydrokinetic (MHK) and Offshore Wind (OSW) resources, the Department of Energy (DOE) has asked NREL to identify the competing uses areas betwe...
Best, B. and Kilcher, L. National Renewable Energy Laboratory
Aug 29, 2019
3 Resources
0 Stars
Publicly accessible
3 Resources
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Tidal Energy Site Characterization East Forelands Alaska
During the summer field season in 2012, Benthic GeoScience Inc. (Benthic) mobilized under contract with Ocean Renewable Power Company (ORPC) in order to conduct precise geospatial measurements of the seafloor accomplishing a preliminary Site Characterization Study for the ORPC Eas...
Worthington, M. National Renewable Energy Laboratory
Apr 01, 2013
2 Resources
0 Stars
Publicly accessible
2 Resources
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Import Shipments of Solar Thermal Collectors by Country, 2008 and 2009
Solar thermal devices use direct heat from the sun, concentrating it in
some manner to produce heat at useful temperatures. The modern solar
industry began with the oil embargo of 1973-1974 and was strengthened
with the second embargo in 1979. The growth of the solar industr...
Hill, G. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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In curation
2 Resources
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In curation
Irradiation Data from NREL'S MDIC Stations
The Measurement and Instrumentation Data Center (MIDC) provides Irradiance and Meteorological Data from these stations: NREL Solar Radiation Research Lab, BSRN Prototype Station, Atmospheric Optical Calibration System, TSR-1, RSR Version 2, RSR Version 1, National Wind Technology...
Afshin, A. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
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1 Resources
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Operational water consumption and withdrawal factors for electricity generating technologies
This dataset is from the report _Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature_ (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water con...
Hill, G. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
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4 Resources
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NREL Residential Buildings Group Partners
This spreadsheet contains a list of all the companies with which NREL's Residential Buildings Group has formed a partnership. The two types of partnership included in this spreadsheet are: Incubator and Test & Evaluation. This list was generated in April 7th, 2011.
### License...
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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National Parks within the geothermal potential area
A GIS layer from the BLM nationwide PEIS of National Parks within the geothermal potential area, not part of the project area and closed to leasing for geothermal projects. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data.
### License Info
Made o...
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
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2 Resources
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GeoRePORT Background Cover
Kolker, A. National Renewable Energy Laboratory
Sep 29, 2019
2 Resources
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2 Resources
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Smart Grid Data from the American Recovery and Reinvestment Act (ARRA) Projects
The data provided in this Excel spreadsheet is the final data that was collected through the Smart Grid Data Hub and provided by the individual Smart Grid Investment Grant (SGIG) project recipients. The project recipients represent utilities from across the country who received f...
Brodt-Giles, D. and Laboratory, N. National Renewable Energy Laboratory
Jun 02, 2015
2 Resources
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2 Resources
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Pending Geothermal lease applications
A GIS layer of pending Geothermal lease applications from Volume II of the BLM's Programmatic EIS to analyze and expedite
the leasing of BLM-and FS-administered lands with high potential for
renewable geothermal resources in 11 Western states and Alaska. The GIS layer contains ....
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
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2 Resources
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In curation