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Sodar Vaisala Triton Wind Profiler, AON8 Processed Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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GeoRePORT Case Studies Coso, WSMR, Dixie Valley, and Chena Hot Springs
The Geothermal Resource Portfolio Optimization and Reporting Technique (GeoRePORT) was developed with funding from the U.S. Department of Energy Geothermal Technologies Office to assist in identifying and pursuing long-term investment strategies through the development of a resour...
Kolker, A. et al National Renewable Energy Laboratory
Sep 30, 2019
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
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Risk Factor Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)
This submission contains information used to compute the risk factors for the GPFA-AB project. The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking ...
E., T. Cornell University
Sep 30, 2015
191 Resources
0 Stars
Publicly accessible
191 Resources
0 Stars
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WIND Toolkit Power Data Site Index
This spreadsheet contains per-site metadata for the WIND Toolkit sites and serves as an index for the raw data hosted on Globus connect (nrel#globus:/globusro/met_data). Aside from the metadata, per site average power and capacity factor are given. This data was prepared by 3TIER ...
Draxl and Mathias-HodgeNational Renewable Energy Laboratory
Oct 17, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2013)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Jul 13, 2015
5 Resources
1 Stars
Publicly accessible
5 Resources
1 Stars
Publicly accessible
Error-Level-Controlled Synthetic Forecasts for Renewable Generation
Renewable energy resources, including solar and wind energy, play a significant role in sustainable energy systems. However, the inherent uncertainty and intermittency of renewable generation pose challenges to the safe and efficient operation of power systems. Recognizing the imp...
Zhang, X. et al National Renewable Energy Laboratory (NREL)
Jun 01, 2021
3 Resources
0 Stars
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3 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
0 Stars
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4 Resources
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Publicly accessible
COMSOL Models and Simulation Results for Closed-Loop Geothermal Systems with Thermal Enhancements
The Closed-Loop Geothermal Working Group and the National Renewable Energy Laboratory (NREL) have studied the performance of disc-shaped and linear thermal enhancements (conductive material introduced around a wellbore) in closed-loop geothermal systems. COMSOL models were develop...
Beckers, K. et al National Renewable Energy Laboratory
Dec 15, 2023
4 Resources
0 Stars
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4 Resources
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Maximum demand charge rates for commercial and industrial electricity tariffs in the United States
NREL has assembled a list of U.S. retail electricity tariffs and their associated demand charge rates for the Commercial and Industrial sectors. The data was obtained from the Utility Rate Database. Keep the following information in mind when interpreting the data:
(1) These data...
McLaren. . et al National Renewable Energy Laboratory
Sep 19, 2017
1 Resources
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1 Resources
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Exploration Case Studies on OpenEI
The goal of this project was to create a template (and associated form) on OpenEI to solicit crowd-sourced information sharing about various geothermal resource areas around the world. Over the past two years, twelve case studies have been researched by NREL staff testing the usa...
Young, K. National Renewable Energy Laboratory
Sep 27, 2013
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
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Characterizing favourable structural settings of geothermal reservoirs in extensional regions: Enhanced exploration strategies
Exploration of geothermal systems is commonly hampered by the risk of unsuccessful drilling. A major problem in selecting well sites is that the favorable settings of known systems are generally not adequately characterized. This is particularly important in amagmatic regions, wh...
Faulds, J. et al University of Nevada
Nov 30, 2010
1 Resources
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1 Resources
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Tularosa Basin Play Fairway Analysis: Raw MT Data for the McGregor Range, Fort Bliss, New Mexico
This is a zipped file containing raw magnetotelluric (MT) data collected as part of the Phase 2 Tularosa Basin geothermal play fairway analysis project in New Mexico. The data for each MT station are in standard .edi text files which are accompanied by graphic files illustrating d...
Nash, G. Energy and Geoscience Institute at the University of Utah
Jan 01, 2017
1 Resources
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1 Resources
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First Priority Geothermal Target Areas as Identified by ASTER and LANDSAT Thermal Imaging of Parts of Colorado
The CIRES remote sensing unit of the University of Colorado was commissioned by Flint Geothermal LLC to identify areas of warm ground that could signify the thermal signature of "blind" geothermal systems. Using ASTER and LANDSAT data along with other characteristics considered fa...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Wave Classification Statistical Data for US Waters
Wave statistics computed using output from the NOAA WWIII hindcast simulations, spanning thirty years from 1980 to 2009. The statistics are computed based on frequency-directional variance density spectra every three hours for 1951 locations in US waters.
Haas, K. Georgia Tech Research Corporation
Sep 21, 2016
1 Resources
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1 Resources
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Tracking the Sun
Berkeley Lab's Tracking the Sun report series is dedicated to summarizing installed prices and other trends among grid-connected, distributed solar photovoltaic (PV) systems in the United States. The present report, the 11th edition in the series, focuses on systems installed thro...
Barbose, G. and Darghouth, N. Lawrence Berkeley National Laboratory (LBNL)
Oct 01, 2019
6 Resources
1 Stars
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6 Resources
1 Stars
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Western USA Assessment of High Value Materials in Geothermal Fluids and Produced Fluids
This submission includes the following:
Field Characteristics: Describes the geological and production field characteristics of sampling sites
Geochemistry of Produced Fluids Idaho-Nevada-New Mexico-Oregon-Utah: Summarizes the all the analytical results for aqueous samples...
Simmons, S. et al Energy and Geoscience Institute at the University of Utah
Oct 31, 2018
5 Resources
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5 Resources
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Surface Meteorological Station ANL 10m tower, Goldendale Raw Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 28, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
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Surface Meteorological Station ANL 10m tower, Goldendale Reviewed Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 30, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
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Surface Meteorological Station ANL 10m tower, Walla Walla Raw Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 28, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station ANL 10m tower, Walla Walla Reviewed Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 30, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station ANL 10m tower, Yakima Raw Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 28, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station ANL 10m tower, Yakima Reviewed Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 30, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar ND Scintec MFAS Wind Profiler with RASS, Rufus Raw Data
**Overview**
The data provide vertical mean profiles of wind and temperature.
**Data Details**
* Data averaged over an interval of 30 minutes.
* Time stamp is included in each data file.
* Location: John Day/Rufus Water Treatment Plant (45.690842,-120.745751).
* Site Elevat...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 01, 2015
1 Resources
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1 Resources
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Simplified Space Conditioning in Low-Load Homes
TO3 2.1.6: Simplified Space Conditioning
IBACOS anticipates that houses achieving 50% whole-house source energy savings with respect to the Building America 2010 Benchmark (Hendron and Engebrecht 2010a) will be considered "low load." Low load is defined by IBACOS as a house with ...
Poerschke, A. and Stecher, D. Ibacos Innovation
Apr 27, 2016
2 Resources
0 Stars
Publicly accessible
2 Resources
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (Feb 2011)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible