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Global Energy & Mining Data, World Bank (1970 2007)
Alternative and Nuclear Energy: Percentage of Total Energy Use Combustible Renewables and Waste: Metric Tons of Oil Equivalent Combustible Renewable and Waste: Percentage of Total Energy Electric Power Consumption Electric Power Transmission and Distribution Losses Electric Power ...
Brodt-Giles, D. and Bank, W. National Renewable Energy Laboratory
Oct 12, 2013
4 Resources
0 Stars
In curation
4 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
2 Resources
0 Stars
In curation
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
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
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
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) Cold Water Depth (Annual Average)
This shapefile represents annual average cold water depth recordings.
The cold water is defined by locating the depth that leads to the greatest average annual net power at each location when depth and its corresponding ?T are input into the power equation. This optimization ba...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) Cold Water Depth (Summer Average)
This shapefile represents seasonal summer average cold water depth recordings.
The cold water is defined by locating the depth that leads to the greatest average annual net power at each location when depth and its corresponding ΔT are input into the power equation. This optim...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) Cold Water Depth (Winter Average)
This shapefile represents seasonal winter average cold water depth recordings.
The cold water is defined by locating the depth that leads to the greatest average annual net power at each location when depth and its corresponding ΔT are input into the power equation. This optim...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
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
Alternative Fueling Station Locations
Alternative fueling stations are located throughout the United States and Canada, and their availability continues to grow. The Alternative Fuels Data Center (AFDC) maintains a website where you can find alternative fueling stations near you or on a route, obtain counts of alterna...
Muerdter, N. National Renewable Energy Laboratory
Jul 29, 2021
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
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 GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (1 Percent Slope and Less)
Filtered (1% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (2 Percent Slope and Less)
Filtered (2% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (3 Percent Slope and Less)
Filtered (3% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. 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: Filtered Direct Normal Solar Resource for the Southwest United States (4 Percent Slope and Less)
Filtered (4% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (5 Percent Slope and Less)
Filtered (5% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. 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: United States Hydrogen Potential From Renewable Resources
Estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar photovoltaic, and biomass) by county for the United States. This study was conducted to estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar p...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
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In curation
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
GeoVision Barriers Taskforce
This submission includes papers, presentations, and data developed during the multi-year GeoVision Barriers Taskforce effort.
Developers have identified many non-technical barriers to geothermal power development, including land access, permitting, and market barriers. Included i...
Young, K. and Levine, A. National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
0 Stars
Publicly accessible
5 Resources
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Publicly accessible
Sedimentary Geothermal Feasibility in Eastern Nevada and Millard County, Utah Well Databases
In order to gather data to assess sedimentary geothermal feasibility in Nevada and Utah, state oil and gas and geothermal databases were serached for well files and well logs. Well data from the Nevada Bureau of Mines and Geology oil and gas and geothermal databases was mined for ...
Taverna, N. National Renewable Energy Laboratory
Nov 30, 2019
12 Resources
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible
UNH TDP Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary
This data was collected between October 12 and December 15 of 2021 at the University of New Hampshire (UNH) and Atlantic Marine Energy Center (AMEC) turbine deployment platform (TDP). This data set includes over 29 days of grid connected turbine operation during this 65 day time f...
Wosnik, M. et al National Renewable Energy Laboratory
Dec 21, 2021
30 Resources
0 Stars
Publicly accessible
30 Resources
0 Stars
Publicly accessible