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Community Resilience through Low-Temperature Geothermal Reservoir Thermal Energy Storage
Submitted data include simulations related to underground thermal battery (UTB) simulations described in Modeling and efficiency study of large scale underground thermal battery deployment, presented at GRC, October 2021.
The UTB is comprised of a tank of water, a helical heat ex...
Nico, P. et al Lawrence Berkeley National Laboratory
Jan 29, 2022
4 Resources
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4 Resources
0 Stars
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Brady Geothermal Field PoroTomo Laboratory Deployment Map
Map of the PoroTomo Laboratory at Brady Field, Nevada. Map includes locations of GPS Stations, Shaker Stations, Vibroseis Sites, Seismometers, Fiber-Optic Cables, and wells
Lopeman, J. University of Wisconsin
Mar 01, 2016
1 Resources
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1 Resources
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Brady's Geothermal Field Map of DAS, Nodal, Vibroseis and Reftek Station Deployment
Map of DAS, nodal, vibroseis and Reftek stations during March 2016 deployment. The plot on the left has nodal stations labeled; the plot on the right has vibroseis observations labeled. Stations are shown in map-view using Brady's rotated X-Y coordinates with side plots denoting...
Feigl, K. University of Wisconsin
Oct 15, 2016
1 Resources
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1 Resources
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Hathaway Solar Patriot house
This Dataset contains field research raw data, analysis spreadsheet, photos, and final report from the Hathaway Solar Patriot House Building America Case Study project.
Norton, P. National Renewable Energy Laboratory
Jun 09, 2016
6 Resources
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In curation
6 Resources
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In curation
Hathaway Solar Patriot House
The Hathaway Solar Patriot House was a Building America field research case study from 2001 to 2004. A report on this project is available in this record or from the National Renewable Energy Laboratory.
http://www.nrel.gov/docs/fy05osti/37731.pdf
Norton, P. and Laboratory, N. National Renewable Energy Laboratory
Jun 10, 2016
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
PoroTomo: Brady Geothermal Field InSAR Data
Included are links to compressed InSAR pairs covering Brady Geothermal Field for TerraSAR-X (tracks 53, 91, and 167) and Sentinel-1A data. Pairs from the PoroTomo deployment period and pairs forming a minimum spanning tree according to perpendicular baseline are included for Terr...
Reinisch, E. University of Wisconsin
Jul 11, 2017
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
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Environmental Protection Agency (EPA) Renewable Energy Cost Database
The database is a compilation of existing cost data for wind, solar photovoltaic (solar PV), solar thermal (CSP), and geothermal energy technologies, including historical costs and projected costs for each. The data sources and references used to compile this information are inclu...
Hill, G. and Agency, E. National Renewable Energy Laboratory
Dec 31, 2009
2 Resources
0 Stars
In curation
2 Resources
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In curation
Brady Geothermal Field Well Pumping Data During Deployment
Contains pumping data associated with the wells used in the 2016 Spring Campaign led partially by UW Madison, LBNL, and LLNL scientists. The well coordinates and the depths to the pressure sensors used in the pumping wells can be found at the link "Coordinates and Sensor Depths" b...
Feigl, K. University of Wisconsin
Mar 30, 2016
3 Resources
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3 Resources
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Performance, Cost, and Financial Parameters of Geothermal District Heating Systems for Market Penetration Modeling under Various Scenarios
The U.S. Department of Energy Geothermal Vision (GeoVision) Study is currently looking at the potential to increase geothermal deployment in the U.S. and to understand the impact of this increased deployment. This paper reviews 31 performance, cost, and financial parameters as inp...
Beckers, K. and Young, K. National Renewable Energy Laboratory
Mar 23, 2017
1 Resources
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1 Resources
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GeoVision: Harnessing the Heat Beneath Our Feet Analysis Inputs and Results
This submission includes input and results data from analysis done as part of the Geothermal Technology Office's Geothermal Vision Study (GeoVision). The submission includes data for both analysis of the electricity sector and the heating and cooling sector. For the electricity se...
Geothermal Technologies Office, U. National Renewable Energy Laboratory
Sep 30, 2019
16 Resources
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16 Resources
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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
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5 Resources
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Brady's Geothermal Field Analysis of Pressure Data
*This submission provides corrections to GDR Submissions 844 and 845*
Poroelastic Tomography (PoroTomo) by Adjoint Inverse Modeling of Data from Hydrology.
The 3 *csv files containing pressure data are the corrected versions of the pressure dataset found in Submission 844. The ...
Lim, D. University of Wisconsin
Mar 17, 2017
6 Resources
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6 Resources
0 Stars
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Cost of Renewable Energy Spreadsheet Tool (CREST)
CREST is an economic cash flow model designed to allow policymakers, regulators, and the renewable energy community to assess project economics, design cost-based incentives (e.g., feed-in tariffs), and evaluate the impact of various state and federal support structures. CREST is ...
Lowder, T. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
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In curation
1 Resources
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In curation
GHPsRUS Project
The GHPsRUS Project's full name is "Measuring the Costs and Benefits of Nationwide Geothermal Heat Pump Deployment." The dataset contains employment and installation price data collected by four economic surveys: (1)GHPsRUS Project Manufacturer & OEM Survey, (2) GHPsRUS Project G...
Battocletti, L. Bob Lawrence and Associates, Inc.
Jul 09, 2013
1 Resources
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1 Resources
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Areas of Anomalous Surface Temperature in Chaffee County, Colorado, as Identified from ASTER Thermal Data
This layer contains areas of anomalous surface temperature in Chaffee County identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming so...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Areas of Anomalous Surface Temperature in Garfield County, Colorado, as Identified from ASTER Thermal Data
This layer contains areas of anomalous surface temperature in Garfield County identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming s...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Areas of Anomalous Surface Temperature in Routt County, Colorado, as Identified from ASTER Thermal Data
This layer contains areas of anomalous surface temperature in Routt County identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming sola...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
0 Stars
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1 Resources
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Irradiation Data from NREL'S MDIC Stations
The Measurement and Instrumentation Data Center (MIDC) provides Irradiance and Meteorological Data from these stations: NREL Solar Radiation Research Lab, BSRN Prototype Station, Atmospheric Optical Calibration System, TSR-1, RSR Version 2, RSR Version 1, National Wind Technology...
Afshin, A. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
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In curation
1 Resources
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In curation
Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Archuleta County
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Dolores County
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Alamosa and Saguache Counties, Colorado
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Fremont County, Colorado
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Routt County, Colorado
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, San Miguel County, Colorado
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Energy Generation by State and Technology (2009)
Provides annual energy generation for all states by fuel source (e.g. coal, gas, solar, wind) in 2009, reported in MWh. Also includes facility-level data (directly from EIA Form 923).
Weers, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
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In curation
3 Resources
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In curation