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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
8 Resources
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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
8 Resources
0 Stars
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NREL MOIS Data for NWEI Azura October 2015

Nelson, E. National Renewable Energy Laboratory

May 24, 2016
8 Resources
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NREL MOIS Data for NWEI Azura December 2015

Nelson, E. National Renewable Energy Laboratory

May 27, 2016
8 Resources
0 Stars
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NREL MOIS Data for NWEI Azura February 2016

Nelson, E. National Renewable Energy Laboratory

May 31, 2016
8 Resources
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NREL MOIS Data for NWEI Azura June 2015

Nelson, E. National Renewable Energy Laboratory

May 18, 2016
8 Resources
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NREL MOIS Data for NWEI Azura March 2016

Nelson, E. National Renewable Energy Laboratory

May 31, 2016
8 Resources
0 Stars
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NREL MOIS Data for NWEI Azura June 2016

Nelson, E. National Renewable Energy Laboratory

Jun 30, 2016
8 Resources
0 Stars
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NREL MOIS Data for NWEI Azura November 2015

Nelson, E. National Renewable Energy Laboratory

May 25, 2016
8 Resources
0 Stars
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NREL MOIS Data for NWEI Azura January 2016

Nelson, E. National Renewable Energy Laboratory

May 27, 2016
8 Resources
0 Stars
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NREL MOIS Data for NWEI Azura September 2016

Nelson, E. National Renewable Energy Laboratory

Oct 07, 2016
8 Resources
0 Stars
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NREL MOIS Data for NWEI Azura September 2015

Nelson, E. National Renewable Energy Laboratory

May 24, 2016
8 Resources
0 Stars
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Sedimentary Geothermal Feasibility in Nevada, Western Utah, Colorado, and the Gulf Coast Region of Texas Final Report

The objectives of this project were to (1) perform a literature review of sedimentary geothermal resources, (2) identify data sources and develop data-collection methodologies that characterize selected resources, (3) screen sedimentary basins and formations for sedimentary geothe...

Johnston, H. et al National Renewable Energy Laboratory

Jul 01, 2020
1 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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NWEI AZURA Data for February 2018 Measured by MOIS (NREL)

Performance data (motion, power, mooring loads, position, heading, MOIS status) for the AZURA WEC operating at the Hawaii Wave Energy Test Site (WETS). Measured by Modular Ocean Instrumentation System (MOIS). These data are for the month of February 2018. Note that the WEC was dep...

Driscoll, R. National Renewable Energy Laboratory

Sep 30, 2018
8 Resources
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Experimental Wave Desalination Data with Variable Feed and Pressure Input

This is the raw data collected from various experiments seeking to characterize reverse osmosis membrane performance under dynamic feed conditions (i.e., varying feed pressure and flow rate) such as those that might be experienced in a wave desalination system. This data was colle...

Sitterley, K. et al National Renewable Energy Laboratory

Jul 29, 2025
8 Resources
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Low-Temperature Geothermal Geospatial Datasets: An Example from Alaska

This project is a component of a broader effort focused on geothermal heating and cooling (GHC) with the aim of illustrating the numerous benefits of incorporating GHC and geothermal heat exchange (GHX) into community energy planning and national decarbonization strategies. To bet...

Davalos Elizondo, E. et al National Renewable Energy Laboratory

Feb 06, 2023
6 Resources
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HERO WEC Belt Test Data

The following submission includes raw and processed data from the 2024 Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC) belt tests conducted using NREL's Large Amplitude Motion Platform (LAMP). A description of the motion profiles run during testing can be f...

Jenne, S. et al National Renewable Energy Laboratory

Sep 01, 2024
7 Resources
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Initial Characterization of the NREL Large Amplitude Motion Platform (LAMP)

The Large Amplitude Motion Platform (LAMP) at the National Renewable Energy Laboratory (NREL) Water Power Technology Validation Facility is a six-degree-of-freedom (6-DOF) motion platform intended to be used for dry testing of wave energy converters (WECs) and other marine energy ...

Friedman, B. et al National Renewable Energy Laboratory

Jul 01, 2024
4 Resources
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OPFLearnData: Dataset for Learning AC Optimal Power Flow

The datasets are resulting from OPFLearn.jl, a Julia package for creating AC OPF datasets. The package was developed to provide researchers with a standardized way to efficiently create AC OPF datasets that are representative of more of the AC OPF feasible load space compared to t...

Joswig-Jones, T. et al National Renewable Energy Laboratory

Oct 26, 2021
12 Resources
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Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets

This dataset contains turbine and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric conditions. The power outputs were computed using the Gaussian wake model in NREL's FLOw Redirection and Induction in ...

Ramos, D. et al National Renewable Energy Laboratory

Feb 12, 2021
5 Resources
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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
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WaterTAP3 Model Input Data for NAWI's Eight Source Water Baseline Analyses

This folder contains the input data for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) source water baselines studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities ...

Miara, A. et al National Renewable Energy Laboratory

Feb 01, 2022
16 Resources
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MOIS CAD Models

SolidWorks models of the Modular Ocean Instrumentation System (MOIS) data acquisition system components in it's subsea enclosure. The zip file contains all the components necessary for the assembly.

Nelson, E. National Renewable Energy Laboratory

Dec 03, 2015
1 Resources
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Geothermal Flexibility Characteristics

This spreadsheet identifies various flexibility characteristics for flash and binary geothermal power plants which could potentially facilitate provision of grid services beyond bulk power generation. Characteristics are differentiated between resource characteristics such as meta...

Rhodes, G. and Augustine, C. National Renewable Energy Laboratory

Jun 01, 2020
1 Resources
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NREL MOIS Data for NWEI Azura August 2016

NREL MOIS Data for NWEI Azura July 2015

NREL MOIS Data for NWEI Azura October 2015

NREL MOIS Data for NWEI Azura December 2015

NREL MOIS Data for NWEI Azura February 2016

NREL MOIS Data for NWEI Azura June 2015

NREL MOIS Data for NWEI Azura March 2016

NREL MOIS Data for NWEI Azura June 2016

NREL MOIS Data for NWEI Azura November 2015

NREL MOIS Data for NWEI Azura January 2016

NREL MOIS Data for NWEI Azura September 2016

NREL MOIS Data for NWEI Azura September 2015

Sedimentary Geothermal Feasibility in Nevada, Western Utah, Colorado, and the Gulf Coast Region of Texas Final Report

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

NWEI AZURA Data for February 2018 Measured by MOIS (NREL)

Experimental Wave Desalination Data with Variable Feed and Pressure Input

Low-Temperature Geothermal Geospatial Datasets: An Example from Alaska

HERO WEC Belt Test Data

Initial Characterization of the NREL Large Amplitude Motion Platform (LAMP)

OPFLearnData: Dataset for Learning AC Optimal Power Flow

Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs

WaterTAP3 Model Input Data for NAWI's Eight Source Water Baseline Analyses

MOIS CAD Models

Geothermal Flexibility Characteristics