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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
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NREL MOIS Data for NWEI Azura July 2015

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, ...

Nelson, E. National Renewable Energy Laboratory

May 23, 2016
15 Resources
0 Stars
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NREL MOIS Data for NWEI Azura September 2015

Nelson, E. National Renewable Energy Laboratory

May 24, 2016
15 Resources
0 Stars
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NREL MOIS Data for NWEI Azura October 2015

Nelson, E. National Renewable Energy Laboratory

May 24, 2016
15 Resources
0 Stars
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Performance estimation of resonance-enhanced dual-buoy wave energy converter using coupled time-domain simulation

This paper presents the modeling methodology and performance evaluation of the resonance-enhanced dual-buoy WEC (Wave Energy Converter) by HEM (hydrodynamic & electro-magnetic) fully-coupled-dynamics time-domain-simulation program. The numerical results are systematically compared...

Kang, H. et al Texas A&M University

Aug 31, 2020
3 Resources
0 Stars
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University of Illinois Campus Deep Direct-Use Feasibility Study Thermal Properties of Geologic Formations in Illinois Basin

Thermal property data for rocks and and minerals and unconsolidated (glacial) sediments units from within and outside the Illinois Basin were compiled for modeling heat transport in the subsurface.

Lin, Y. et al University of Illinois

Mar 30, 2018
6 Resources
0 Stars
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SMART-DS Synthetic Electrical Network Data OpenDSS Models for SFO, GSO, and AUS

The SMART-DS datasets (Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios) are realistic large-scale U.S. electrical distribution models for testing advanced grid algorithms and technology analysis. This document provides a user guide for the data...

Palmintier, B. et al National Renewable Energy Laboratory (NREL)

Dec 18, 2020
5 Resources
0 Stars
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Hawthorne Nevada Deep Direct-Use Feasibility Study Data Used for Geothermal Resource Conceptual Modeling and Power Capacity Estimates

This data submission includes several data components that were used to develop a conceptual model and power capacity-estimates of two low-temperature geothermal resources that define geothermal prospect A at Hawthorne, Nevada. Data are sourced from a combination of legacy publicl...

Ayling, B. and Hinz, N. Great Basin Center for Geothermal Energy

Apr 05, 2020
7 Resources
0 Stars
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NREL MOIS Data for NWEI Azura June 2015

Nelson, E. National Renewable Energy Laboratory

May 18, 2016
15 Resources
0 Stars
Publicly accessible

NREL MOIS Data for NWEI Azura August 2015

Nelson, E. National Renewable Energy Laboratory

May 23, 2016
17 Resources
0 Stars
Publicly accessible

NREL MOIS Data for NWEI Azura November 2015

Nelson, E. National Renewable Energy Laboratory

May 25, 2016
16 Resources
0 Stars
Publicly accessible

NREL MOIS Data for NWEI Azura December 2015

Nelson, E. National Renewable Energy Laboratory

May 27, 2016
16 Resources
0 Stars
Publicly accessible

NREL MOIS Data for NWEI Azura January 2016

Nelson, E. National Renewable Energy Laboratory

May 27, 2016
16 Resources
0 Stars
Publicly accessible

NREL MOIS Data for NWEI Azura February 2016

Nelson, E. National Renewable Energy Laboratory

May 31, 2016
16 Resources
0 Stars
Publicly accessible

NREL MOIS Data for NWEI Azura March 2016

Nelson, E. National Renewable Energy Laboratory

May 31, 2016
16 Resources
0 Stars
Publicly accessible

NREL MOIS Data for NWEI Azura April 2016

Nelson, E. National Renewable Energy Laboratory

May 31, 2016
15 Resources
0 Stars
Publicly accessible

NREL MOIS Data for NWEI Azura August 2016

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navys Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, H...

Nelson, E. National Renewable Energy Laboratory

Oct 03, 2016
16 Resources
0 Stars
Publicly accessible

NREL MOIS Data for NWEI Azura September 2016

Nelson, E. National Renewable Energy Laboratory

Oct 07, 2016
16 Resources
0 Stars
Publicly accessible

NREL MOIS Data for NWEI Azura June 2016

Nelson, E. National Renewable Energy Laboratory

Jun 30, 2016
16 Resources
0 Stars
Publicly accessible

NREL MOIS Data for NWEI Azura July 2016

Nelson, E. National Renewable Energy Laboratory

Sep 25, 2016
18 Resources
0 Stars
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3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA

In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydr...

Siler, D. and Pepin, J. United States Geological Survey

Oct 01, 2021
4 Resources
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Geocellular model of St. Peter Sandstone for University of Illinois at Urbana-Champaign DDU Feasibility Study

The geocellular model of the St. Peter Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 ...

Damico, J. University of Illinois

Dec 31, 2018
5 Resources
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EGS Collab Experiment 1: Microseismic Monitoring

The U.S. Department of Energy's Enhanced Geothermal System (EGS) Collab project aims to improve our understanding of hydraulic stimulations in crystalline rock for enhanced geothermal energy production through execution of intensely monitored meso-scale experiments. The first expe...

Schoenball, M. et al Lawrence Berkeley National Laboratory

Jul 29, 2019
45 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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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...

Siler, D. et al United States Geological Survey

Oct 01, 2021
6 Resources
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DEEPEN 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano

NREL MOIS Data for NWEI Azura July 2015

NREL MOIS Data for NWEI Azura September 2015

NREL MOIS Data for NWEI Azura October 2015

Performance estimation of resonance-enhanced dual-buoy wave energy converter using coupled time-domain simulation

University of Illinois Campus Deep Direct-Use Feasibility Study Thermal Properties of Geologic Formations in Illinois Basin

SMART-DS Synthetic Electrical Network Data OpenDSS Models for SFO, GSO, and AUS

Hawthorne Nevada Deep Direct-Use Feasibility Study Data Used for Geothermal Resource Conceptual Modeling and Power Capacity Estimates

NREL MOIS Data for NWEI Azura June 2015

NREL MOIS Data for NWEI Azura August 2015

NREL MOIS Data for NWEI Azura November 2015

NREL MOIS Data for NWEI Azura December 2015

NREL MOIS Data for NWEI Azura January 2016

NREL MOIS Data for NWEI Azura February 2016

NREL MOIS Data for NWEI Azura March 2016

NREL MOIS Data for NWEI Azura April 2016

NREL MOIS Data for NWEI Azura August 2016

NREL MOIS Data for NWEI Azura September 2016

NREL MOIS Data for NWEI Azura June 2016

NREL MOIS Data for NWEI Azura July 2016

3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA

Geocellular model of St. Peter Sandstone for University of Illinois at Urbana-Champaign DDU Feasibility Study

EGS Collab Experiment 1: Microseismic Monitoring

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk