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U.S. Gulf of Mexico Coast Offshore Windspeed 90m Height High Resolution
This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
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In curation
4 Resources
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In curation
Deep Direct-Use Feasibility Study Development of 3-D Structural Surface Model for the Tuscarora Sandstone, Morgantown, WV
This dataset contains grid files for subsurface maps created in GES interpretation software and exported as Zmap formated grid files. Depth values in SSTVD (subsea true vertical depth).
The methods used for analysis and a detailed discussion of the results are presented in a paper...
McCleery, R. et al West Virginia University
Dec 19, 2019
3 Resources
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Publicly accessible
3 Resources
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Post-Test SEM Examination of Brady Core, Desert Peak Core, and Stripa Granite Samples
As part of the shear-induced permeability test of Brady well BCH-03, Desert Peak well DP 35-13, and Stripa granite samples, the three post-test (reacted) rock samples were examined using a Scanning Electron Microscope (SEM). The SEM images of the core and elemental analysis are in...
Kneafsey, T. et al Lawrence Berkeley National Laboratory
Dec 23, 2015
4 Resources
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4 Resources
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FOSWEC v2: System identification and control testing at Hinsdale Wave Research Laboratory
This report summarizes the design and execution of a wave tank test of the floating oscillating surge wave energy converter (FOSWEC) in the O.H. Hinsdale Wave Research Laboratory Directional Wave Basin at Oregon State University. This device, which uses two "flaps" that pivot abou...
Coe, R. et al Sandia National Laboratories
Feb 01, 2020
2 Resources
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2 Resources
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One year occupant behavior/environment data for medium U.S. office
One year of longitudinal data (fifteen minute interval) on local thermal conditions, related behaviors, and comfort of twenty-four occupants of a medium-sized office building in Philadelphia, PA.
Please cite:
Langevin, J., Gurian, P.L., and Wen, J. (2015). Tracking the human...
Langevin, J. Lawrence Berkeley National Laboratory
Jul 20, 2015
2 Resources
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In curation
2 Resources
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Slip and Dilation Tendency Analysis of Neal Hot Springs Geothermal Area
Slip and Dilation Tendency in focus areas
Critically stressed fault segments have a relatively high likelihood of acting as fluid flow conduits (Sibson, 1994). As such, the tendency of a fault segment to slip (slip tendency; Ts; Morris et al., 1996) or to dilate (dilation tendency...
E., J. University of Nevada
Dec 31, 2013
1 Resources
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1 Resources
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Multifamily Programmable Thermostat Data
This data set, compiled by the Fraunhofer Center for Sustainable Energy Systems, includes long-term 10-minute temperature and relative humidity data, and HVAC system state data for 79 apartments in a low-income housing complex in Revere, MA. The monitoring period spans two winters...
Urban, B. et al Fraunhofer USA
Jul 27, 2015
2 Resources
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2 Resources
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ALFA Oscillating Water Column Device Testing
Data from Phase 1 testing of a single ALFA Oscillating Water Column (OWC) device at the O.H. Hinsdale Wave Research Laboratory (HWRL) at Oregon State University in Fall of 2016. Contains two zip files of raw data, one of project data, and a diagram of the device with dimensions. ...
Bosma, B. Northwest National Marine Renewable Energy Center
Nov 07, 2016
4 Resources
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4 Resources
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Tidal Turbine Test, Downeast Turbines, July 12, 2021
Downeast Turbines tested a tidal turbine prototype with novel rotor/channel system and lateral effluent discharge apparatus (LEDA), during five days of testing in the flume at Alden Lab. Three days of testing (July 12-14, 2021) focused on turbine power metrics of torque and rpm, w...
McBride, G. Downeast Turbines
Mar 26, 2022
6 Resources
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6 Resources
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Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 14ºC (Annual Average)
This shapefile represents the annual average depth profile to reach water at a temperature of 14ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer t...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 14ºC (Summer Average)
This shapefile represents the seasonal summer depth profile to reach water at a temperature of 14ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 14ºC (Winter Average)
This shapefile represents the seasonal winter depth profile to reach water at a temperature of 14ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 20ºC (Annual Average)
This shapefile represents the annual average depth profile to reach water at a temperature of 20ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer t...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 20ºC (Summer Average)
This shapefile represents the seasonal summer depth profile to reach water at a temperature of 20ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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In curation
2 Resources
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Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 20ºC (Winter Average)
This shapefile represents the seasonal winter depth profile to reach water at a temperature of 20ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 8ºC (Annual Average)
This shapefile represents the annual average depth profile to reach water at a temperature of 8ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer th...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 8ºC (Summer Average)
This shapefile represents the seasonal summer depth profile to reach water at a temperature of 8ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer t...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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In curation
2 Resources
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Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 8ºC (Winter Average)
This shapefile represents the seasonal winter depth profile to reach water at a temperature of 8ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer t...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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ALFA Non-linear Ocean Waves and PTO Control Strategy
Data from Advanced Laboratory and Field Arrays (ALFA) Non-linear Ocean Waves and Power Take-Off (PTO). Control Strategy project conducted at the O.H. Hinsdale Wave Research Laboratory (HWRL) at Oregon State University in 2019/2020. Contains two zip files (ALFANL.zip, ALFANL2.zip)...
Bosma, B. et al Pacific Marine Energy Center (PMEC)
Oct 28, 2019
9 Resources
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9 Resources
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Tularosa Basin Play Fairway Analysis: Geologic Map of the Organ Mountains and Southern San Andres Mountain Range, NM
This is a digitized geologic map, in shapefile format, including rock unit lithological descriptions, faults, and dikes.
Nash, G. and Seager, W. Energy and Geoscience Institute at the University of Utah
Jun 16, 2017
3 Resources
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3 Resources
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Closed National Forest Service Lands: Geothermal Leases Not Permitted
The U.S. Bureau of Land Management (BLM) released a series of GIS layers of National Forest Service Lands that area closed to goethermal leasing (leases are not granted in these areas). The various types of areas included in this set of GIS layers are: National Monuments, National...
Hallett, K. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
5 Resources
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5 Resources
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Appendices for Geothermal Exploration Artificial Intelligence Report
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
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12 Resources
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Machine Learning Model Geotiffs Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany the final report. Layers include: Artificial Neural Network (ANN), Extreme Learning Ma...
Faulds, J. et al Nevada Bureau of Mines and Geology
Jun 01, 2021
1 Resources
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1 Resources
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Utah FORGE 2020-2021 Geothermal Energy/EGS Survey and Results
The Utah FORGE project collaborated with the University of Utahs Department of Communication on a Capstone course during Fall Semester 2020. The course created a survey to gauge the general populations knowledge of geothermal energy and Enhanced Geothermal Systems (EGS). The surve...
Yeo, S. and McKasy, M. Energy and Geoscience Institute at the University of Utah
Jul 20, 2021
1 Resources
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1 Resources
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GEOPHIRES files for DDU techno-economic simulations
During 2017-2019, the U.S. Department of Energy funded six geothermal deep direct-use (DDU) projects to investigate feasibility of DDU for heating, cooling and thermal storage in the United States. In a follow-on study conducted at the National Renewable Energy Laboratory (NREL), ...
Beckers, K. and Kolker, A. National Renewable Energy Laboratory
Mar 31, 2021
1 Resources
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1 Resources
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