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NWEI Azura July 2015 Data

Data files for the NWEI 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, HI. See general documentation describing sp...

Lettenmaier, T. Northwest Energy Innovations

Dec 14, 2015
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NWEI Azura Sept 2015 Data

Lettenmaier, T. Northwest Energy Innovations

Dec 14, 2015
8 Resources
0 Stars
Publicly accessible

NWEI Azura December 2015 Data

Data files for the NWEI 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 Hawai'i (MCBH) on the windward (northeast) coast of the island of O'ahu, HI. See general documentation describing ...

Lettenmaier, T. Northwest Energy Innovations

Feb 21, 2016
8 Resources
0 Stars
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NWEI Azura March 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Mar 31, 2016
8 Resources
0 Stars
Publicly accessible

NWEI Azura June 2016 Data

Data files for the NWEI 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, HI. See general documentation describing spe...

Lettenmaier, T. Northwest Energy Innovations

Aug 31, 2016
8 Resources
0 Stars
Publicly accessible

NWEI Azura November 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Dec 07, 2016
8 Resources
0 Stars
Publicly accessible

PoroTomo: Horizontal Distributed Acoustic Sensing (DAS) Measurements During an M 2.3 Explosion

Included here are Distributed Acoustic Sensing (DAS) data collected by the horizontal DAS array at Brady's Hot Springs Geothermal Field. The system recorded this data during an M 2.3 explosion at the Nevada Test Site (NTS), which is located approximately 400km southeast of the fie...

Kratt, C. et al Center for Transformative Environmental Monitoring Programs (CTEMPs)

Dec 18, 2018
5 Resources
0 Stars
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Magnetic Nanofluid Rare Earth Element Extraction Process Report, Techno Economic Analysis, and Results for Geothermal Fluids

This GDR submission is an interim technical report and raw data files from the first year of testing on functionalized nanoparticles for rare earth element extraction from geothermal fluids. The report contains Rare Earth Element uptake results (percent removal, mg Rare Earth Ele...

McGrail, P. Pacific Northwest National Laboratory

Mar 14, 2016
3 Resources
0 Stars
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Freedom Field Site Data: June 14, 2011

Freedom Field is a not-for-profit organization formed to facilitate development and commercialization of renewable energy solutions. The organization has installed a variety of renewable energy generating technologies at their facility (located at Rock River Water Reclamation in R...

Hallett, K. and Field, F. National Renewable Energy Laboratory

Jul 18, 2011
2 Resources
0 Stars
In curation

Reference Model 1 Cost Breakdown (RM1: Tidal Current Turbine)

Contains the Reference Model 1 (RM1) spreadsheets with the cost breakdown structure (CBS) for the levelized cost of energy (LCOE) calculations for a single RM1 device and multiple unit arrays. These spreadsheets are contained within an XLSX file and a spreadsheet editor such as Mi...

Neary, V. et al Sandia National Laboratories

Sep 30, 2014
2 Resources
0 Stars
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Reference Model 2 Cost Breakdown (RM2: River Current Turbine)

Contains the Reference Model 2 (RM2) spreadsheets with the cost breakdown structure (CBS) for the levelized cost of energy (LCOE) calculations for a single RM2 device and multiple unit arrays. These spreadsheets are contained within an XLSX file and a spreadsheet editor such as Mi...

Neary, V. et al Sandia National Laboratories

Sep 30, 2014
2 Resources
0 Stars
Publicly accessible

Reference Model 6 Cost Breakdown (RM6: Oscillating Water Column)

Contains the Reference Model 6 (RM6) spreadsheets with the cost breakdown structure (CBS) for the levelized cost of energy (LCOE) calculations for a single RM6 device and multiple unit arrays. These spreadsheets are contained within an XLSX file and a spreadsheet editor such as Mi...

Neary, V. et al Sandia National Laboratories

Sep 30, 2014
2 Resources
0 Stars
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Stanford Thermal Earth Model for the Conterminous United States

Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States....

Aljubran, M. and Horne, R. Stanford University

Mar 14, 2024
9 Resources
0 Stars
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Reference Model 3 Cost Breakdown (RM3: Wave Point Absorber)

Contains the Reference Model 3 (RM3) spreadsheets with the cost breakdown structure (CBS) for the levelized cost of energy (LCOE) calculations for a single RM3 device and multiple unit arrays. These spreadsheets are contained within an XLSX file and a spreadsheet editor such as Mi...

Neary, V. et al Sandia National Laboratories

Sep 30, 2014
2 Resources
0 Stars
Publicly accessible

NWEI Azura February 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Mar 07, 2016
8 Resources
0 Stars
Publicly accessible

NWEI Azura August 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Oct 14, 2016
8 Resources
0 Stars
Publicly accessible

NWEI Azura September 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Oct 15, 2016
8 Resources
0 Stars
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Utah FORGE: Rock Properties

This is an Excel spreadsheet that contains rock properties from several wells in the Utah FORGE study area. This includes a map of the wells. Data is described in the Final Topical Report included in the resources below.

Gwynn, M. Energy and Geoscience Institute at the University of Utah

Apr 07, 2018
2 Resources
0 Stars
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NWEI Azura Aug 2015 Data

Lettenmaier, T. Northwest Energy Innovations

Dec 14, 2015
9 Resources
0 Stars
Publicly accessible

NWEI Azura Oct 2015 Data

Lettenmaier, T. Northwest Energy Innovations

Dec 14, 2015
8 Resources
0 Stars
Publicly accessible

NWEI Azura January 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Jan 01, 2016
9 Resources
0 Stars
Publicly accessible

NWEI Azura April 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Jun 08, 2016
8 Resources
0 Stars
Publicly accessible

NWEI Azura July 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Aug 31, 2016
9 Resources
0 Stars
Publicly accessible

NWEI Azura October 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Nov 11, 2016
9 Resources
0 Stars
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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
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NWEI Azura July 2015 Data

NWEI Azura Sept 2015 Data

NWEI Azura December 2015 Data

NWEI Azura March 2016 Data

NWEI Azura June 2016 Data

NWEI Azura November 2016 Data

PoroTomo: Horizontal Distributed Acoustic Sensing (DAS) Measurements During an M 2.3 Explosion

Magnetic Nanofluid Rare Earth Element Extraction Process Report, Techno Economic Analysis, and Results for Geothermal Fluids

Freedom Field Site Data: June 14, 2011

Reference Model 1 Cost Breakdown (RM1: Tidal Current Turbine)

Reference Model 2 Cost Breakdown (RM2: River Current Turbine)

Reference Model 6 Cost Breakdown (RM6: Oscillating Water Column)

Stanford Thermal Earth Model for the Conterminous United States

Reference Model 3 Cost Breakdown (RM3: Wave Point Absorber)

NWEI Azura February 2016 Data

NWEI Azura August 2016 Data

NWEI Azura September 2016 Data

Utah FORGE: Rock Properties

NWEI Azura Aug 2015 Data

NWEI Azura Oct 2015 Data

NWEI Azura January 2016 Data

NWEI Azura April 2016 Data

NWEI Azura July 2016 Data

NWEI Azura October 2016 Data

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