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EDX
###What is the Energy Data eXchange?
The Energy Data eXchange (EDX) was developed and is maintained by NETL-ORD
as an online system to support internal coordination and collaboration
as well as timely tech transfer of data-driven products across NETL's
research portfolios...
Rowan, C. and (NETL), N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
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1 Resources
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USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geoph...
DeAngelo, J. et al Nevada Bureau of Mines and Geology
Jun 01, 2021
1 Resources
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1 Resources
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NREL RSF Energy Model 2011
Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers computers that communicate with the building's various control systems to...
Sheppy, M. et al National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
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6 Resources
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Deep Direct-Use Feasibility Study Energy Demand Characterization and Surface Plant Modeling for West Virginia University
This dataset provides information gathered to determine end use load and assessment of existing district heating systems (DHS). It also provides Aspen simulation files used to model hybrid natural gas geothermal district heating and cooling (GDHC) system along with Exchange Design...
Garapati, N. West Virginia University
Jan 09, 2020
4 Resources
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4 Resources
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DEEPEN Global Standardized Categorical Exploration Datasets for Magmatic Plays
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), weights needed to be develop...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
4 Resources
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4 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence O Raw Data
**Overview**
Sequence O: Sin AOA, Parked (P)
This sequence was designed to quantify the blade 3-D unsteady aerodynamic response in the
absence of rotational influences by varying blade pitch angle. This test sequence used an upwind,
rigid turbine with a 0° cone angle. The wind ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
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Geothermal Project NEPA Database
During the 2013 fiscal year, the National Renewable Energy Laboratory (NREL) developed the Geothermal National Environmental Policy Act (NEPA) Database with funding provided by the U.S. Department of Energy (DOE) Geothermal Technologies Office (GTO). The information in the databas...
Young, K. and Levine, A. National Renewable Energy Laboratory
Sep 30, 2014
4 Resources
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4 Resources
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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
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2 Resources
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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
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2 Resources
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CalWave Open Water Demo Budget Period 1 Reports
The objective of the project is to advance the Technology Readiness Level (TRL) of the Wave Energy Converter (WEC) developed by CalWave Wave Power Technologies Inc (CalWave) through advanced numerical simulations, dynamic hardware tests, and ultimately a scaled open water demonstr...
Boerner, T. et al CalWave Power Technologies Inc.
Jun 03, 2019
8 Resources
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8 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence N Raw Data
**Overview**
Sequence N: Sin AOA, Rotating (P)
This sequence was designed to quantify the blade 3-D unsteady aerodynamic response in the
presence of rotational influences by varying blade pitch angle. Test sequence N used an upwind,
rigid turbine with a 0° cone angle. The wind ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
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HERO WEC V1.0 WEC-Sim Model (July 2024)
**This submission supersedes submission MHKDR-483**
This submission file contains the files that are needed to simulate NREL's HERO WEC (hydraulic and electric reverse osmosis wave energy converter). This requires the user to have already installed WEC-Sim. In addition to the sta...
Panzarella, J. et al National Renewable Energy Laboratory
Jul 01, 2024
2 Resources
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2 Resources
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GeoRePORT Input Spreadsheet
The Geothermal Resource Portfolio Optimization and Reporting Tool (GeoRePORT) was developed as a way to distill large amounts of geothermal project data into an objective, reportable data set that can be used to communicate with experts and non-experts. GeoRePORT summarizes (1) r...
St. Onge, M. National Renewable Energy Laboratory
Apr 27, 2017
2 Resources
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2 Resources
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Portland DDU Feasibility Study: The Spatial and Temporal Evolution of the Portland and Tualatin Basins, Oregon, USA
The Portland and Tualatin basins are part of the Puget-Willamette Lowland in the Cascadia forearc of Oregon and Washington. The Coast Range to the west has undergone Paleogene transtension and Neogene transpression, which is reflected in basin stratigraphy. To better understand th...
Scanlon, D. Portland State University
Jul 29, 2019
1 Resources
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1 Resources
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Lidar ESRL WindCube 200s, Arlington Airport Processed Data
**Overview**
The available "readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. If you have any further questions about the data and its interpretation, contact either Alan Brewer (
Brewer, A. and Baidar, S. Wind Energy Technologies Office (WETO)
Sep 24, 2015
1 Resources
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1 Resources
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Resource Reporting Methodology Analysis and Development of Geothermal Reporting Metric for the Geothermal Technologies Office Hydrothermal Program
The US Geological Survey (USGS) resource assessment (Williams et al., 2009) outlined a mean 30GWe of undiscovered hydrothermal resource in the western US. One goal of the Geothermal Technologies Office (GTO) is to accelerate the development of this undiscovered resource. The Geoth...
YoungNational Renewable Energy Laboratory
Jan 19, 2016
1 Resources
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1 Resources
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Spray Foam Exterior Insulation with Stand-Off Furring New York
IBACOS and Green Homes America 1 (GHA) collaborated with the New York State Energy Research and Development Authority (NYSERDA) Advanced Buildings Program to research a variation of a commercial curtain wall assembly for residential construction as part of a comprehensive whole-ho...
Rapport, A. et al Ibacos Innovation
Apr 27, 2016
2 Resources
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2 Resources
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Advanced Control Systems for Wave Energy Converters
This submission contains several papers, a final report, descriptions of a theoretical framework for two types of control systems, and descriptions of eight real-time flap load control policies with the objective of assessing the potential improvement of annual average capture eff...
Scruggs, J. et al Resolute Marine Energy, Inc.
Jan 30, 2017
4 Resources
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4 Resources
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Applications of Geothermally-Produced Colloidal Silica in Reservoir Management Smart Gels
In enhanced geothermal systems (EGS) the reservoir permeability is often enhanced or created using hydraulic fracturing. In hydraulic fracturing, high fluid pressures are applied to confined zones in the subsurface usually using packers to fracture the host rock. This enhances r...
Hunt, J. et al Lawrence Livermore National Laboratory
Jan 31, 2013
2 Resources
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2 Resources
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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
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2 Resources
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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
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2 Resources
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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
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2 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence 8 Raw Data
**Overview**
Sequences 8 and 9: Downwind Sonics (F,P) and Downwind Sonics Parked
(P)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 25 m/s. Yaw angles of 0° to 60° were achieved. The blade tip pitch was 3°. The
roto...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence 9 Raw Data
**Overview**
Sequences 8 and 9: Downwind Sonics (F,P) and Downwind Sonics Parked
(P)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 25 m/s. Yaw angles of 0° to 60° were achieved. The blade tip pitch was 3°. The
roto...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
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