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Afghanistan Wind Power Density at 50-m Above Ground Level GIS Data
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 Wi...
Langle, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
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
Hydrogen Compatibility of Materials
Technical Reference for Hydrogen Compatibility of Materials
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Guidance on materials selection for hydrogen service is needed to support the deployment of hydrogen as a fuel as well as the development of codes ...
Marci, C. and Laboratories, S. National Renewable Energy Laboratory
Nov 25, 2014
10 Resources
0 Stars
In curation
10 Resources
0 Stars
In curation
Early Market Opportunity MHK Energy Site Identification Wave and Tidal Resources
This data was compiled for the 'Early Market Opportunity Hot Spot Identification' project. The data and scripts included were used in the 'MHK Energy Site Identification and Ranking Methodology' Reports (see resources below). The Python scripts will generate a set of results--base...
Kilcher, L. National Renewable Energy Laboratory
Apr 01, 2016
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
Minnesota High Resolution Wind Resource
Annual average wind resource potential for Minnesota at a 50 meter height.
This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects.
###Original data
Data from [...
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
Mapping and Assessment of the United States Ocean Wave Energy Resource
This project estimates the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Envi...
EPRI, . National Renewable Energy Laboratory
Dec 04, 2011
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Contribution of Renewables to World Energy Supply (1971 2008)
OECD Factbook 2010: Economic, Environmental and Social Statistics ISBN 92-64-08356-1 © OECD 2010. [Available directly from the OECD Statistics website (beta version)](http://www.oecd.org/document/0,3746,en_2649_201185_46462759_1_1_1_1,00.html "Statistics from A to Z")
Presents ...
Hallett, K. and (OECD), O. National Renewable Energy Laboratory
Dec 31, 2009
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
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
0 Stars
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
0 Stars
Publicly accessible
U.S. Nuclear Regulation Data (Information Digest, 2010 2011)
The US Nuclear Regulatory Commission (NRC) publishes an Information Digest containing summary information about the NRC and its industry. The report's appendices include demographic data on U.S. nuclear power reactors, both commercial and test facilities. Details include licensee ...
Hallett, K. and (USNRC), U. National Renewable Energy Laboratory
Aug 30, 2010
10 Resources
0 Stars
In curation
10 Resources
0 Stars
In curation
Land use requirements for ground-mounted solar power facilities.
This dataset is part of a larger internal dataset at the National Renewable Energy Laboratory (NREL) that explores various characteristics of large solar electric (both PV and CSP) facilities around the United States. This dataset focuses on the land use characteristics for solar ...
Ong, S. 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
Statistics Canada Energy Data: 2005 2009
Statistics Canada collects and produces annual energy-related data for the country. These official statistics are published on the Statistics Canada website. The data includes: annual energy fuel consumption in the manufacturing sector, by fuel type and by subsectors (2005 2009); ...
Hallett, K. and Canada, S. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
DEEPEN 3D PFA Index Models for Exploration Datasets at Newberry Volcano
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), index models needed to be de...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
NREL Wave Energy Assessment for the United States and Puerto Rico
This dataset estimates the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Envi...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
9 Resources
0 Stars
In curation
9 Resources
0 Stars
In curation
Residential Energy Consumption Survey Results: Total Energy Consumption, Expenditures, and Intensities (2005)
The Residential Energy Consumption Survey (RECS) is a national survey that collects residential energy-related data. The 2005 survey collected data from 4,381 households in housing units statistically selected to represent the 111.1 million housing units in the U.S. Data were obta...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation
3 Resources
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In curation
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
0 Stars
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Wind Energy Resource Data
NREL's Geographic Information System (GIS) team offers both a national wind resource assessment of the United States and high-resolution wind data. The national wind resource assessment was created for the U.S. Department of Energy in 1986 by the Pacific Northwest Laboratory and i...
Webmaster, . and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
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In curation
1 Resources
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GeoRePORT 2.0
Version 2 of the GeoRePORT protocols and excel-based reporting tools. Software allows users to grade the geologic, technical, and socio-economic conditions at a geothermal resource location for both electricity generation and direct-use. Includes tool and protocols for:
* Geologic...
Kolker, A. et al National Renewable Energy Laboratory
Mar 25, 2022
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Pauling, H. et al National Renewable Energy Laboratory
Jun 30, 2023
22 Resources
0 Stars
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22 Resources
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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
Unified Field Study 3 (UFS-3)
The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the third Unified Field Study (UFS-3), performed June t...
Wolfrum, E. et al National Renewable Energy Laboratory
Sep 29, 2016
24 Resources
0 Stars
Publicly accessible
24 Resources
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Unified Field Study 4 (UFS-4)
The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the fourth Unified Field Study (UFS-4), performed Septe...
Wolfrum, E. et al National Renewable Energy Laboratory
Sep 27, 2016
24 Resources
0 Stars
Publicly accessible
24 Resources
0 Stars
Publicly accessible
Unified Field Study 5 (UFS-5)
The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the fifth Unified Field Study (UFS-5), performed Decemb...
Wolfrum, E. et al National Renewable Energy Laboratory
Sep 27, 2016
24 Resources
0 Stars
Publicly accessible
24 Resources
0 Stars
Publicly accessible
Unified Field Study 6 (UFS-6)
The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the sixth Unified Field Study (UFS-6), performed March ...
Wolfrum, E. et al National Renewable Energy Laboratory
Oct 20, 2017
24 Resources
0 Stars
Publicly accessible
24 Resources
0 Stars
Publicly accessible