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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
0 Stars
In curation

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
0 Stars
In curation

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
0 Stars
In curation

Low-Temperature Hydrothermal Resource Potential Estimate

Compilation of data (spreadsheet and shapefiles) for several low-temperature resource types, including isolated springs and wells, delineated area convection systems, sedimentary basins and coastal plains sedimentary systems. For each system, we include estimates of the accessible...
Mullane, M. et al National Renewable Energy Laboratory
Jun 30, 2016
3 Resources
0 Stars
Publicly accessible

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

Low Temperature Geothermal Resource Assessment for Desalination in United States

This data is a compilation of well observations from the Southern Methodist University (SMU) and Association of American State Geologists (AASG), location of identified low temperature geothermal systems from United States Geological Survey (USGS), and low temperature geothermal w...
Akar, S. and Turchi, C. National Renewable Energy Laboratory
Sep 30, 2016
6 Resources
0 Stars
Publicly accessible

DEEPEN: Final 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano

Part of the DEEPEN (DE-risking Exploration of geothermal Plays in magmatic ENvironments) project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical). This was tested...
Taverna, N. et al National Renewable Energy Laboratory
Jan 24, 2024
14 Resources
0 Stars
Publicly accessible

DEEPEN 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. Part of the DEEPEN project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
27 Resources
0 Stars
Publicly accessible
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