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MMH
U.S. Patent # 8535493 B2 has some not obvious but remarkable features. The "MMH” is a generator that depends on the numbers (ratio) of included anodes versus cathodes and can produce between 50% to 90% (and more) pure hydrogen gas. To achieve such remarkable performance we are p...
Kasprzak, A. National Renewable Energy Laboratory
Apr 28, 2017
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
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
0 Stars
Publicly accessible
6 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
1 Resources
0 Stars
Publicly accessible
Global Value Chain and Manufacturing Analysis on Geothermal Power Plant Turbines
In this study, we have undertaken a robust analysis of the global supply chain and manufacturing costs for components of Organic Rankine Cycle (ORC) Turboexpander and steam turbines used in geothermal power plants. We collected a range of market data influencing manufacturing from...
Akar, S. et al National Renewable Energy Laboratory
Mar 30, 2018
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
DOE User Facilities and RD Equipment
This dataset contains information about hundreds of designated user-facilities and R&D equipment funded by the U.S. Department of Energy and accessible to the private sector. These facilities reside at DOE's
Honey, K. and (DOE), U. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
UNH TDP Voltsys Raw Data and Processing Scripts Fall 2021
This submission contains raw Voltsys rectifier data and processing scripts associated with MHKDR submission 394 (UNH TDP Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary, DOI: 10.1...
Bharath, A. et al National Renewable Energy Laboratory
Dec 21, 2021
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
UNH TDP Shark Meter Raw Data and Processing Scripts Fall 2021
This submission contains raw Shark Power Meter data and processing scripts associated with MHKDR submission 394 (UNH TDP Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary, DOI: 10.1...
Bharath, A. et al National Renewable Energy Laboratory
Dec 21, 2021
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Curated Modeled Fault Data Set
The curated fault model simulation data set consists of tagged and fully-described time series representing simulated faults for the AFDD test building (ORNLs Flexible Research Platform (FRP)), including baseline performance, faulty performance, and corresponding energy impact. A ...
Kim, J. and Leach, M. National Renewable Energy Laboratory
Jun 24, 2019
7 Resources
0 Stars
Curated
7 Resources
0 Stars
Curated
BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...
Tripp, C. et al National Renewable Energy Laboratory
Dec 30, 2022
9 Resources
1 Stars
Curated
9 Resources
1 Stars
Curated
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
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
United States Weather Resource Data, compatible with System Advisor Model (SAM)
Weather resource data for the United States for use in the System Advisor Model (SAM).
More information on the System Advisor Model is available at: https://www.nrel.gov/analysis/sam/.
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation
1 Resources
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In curation
Sample IEEE123 Bus system for OEDI SI
Time series load and PV data from an IEEE123 bus system. An example electrical system, named the OEDI SI feeder, is used to test the workflow in a co-simulation. The system used is the IEEE123 test system, which is a well studied test system (see link below to IEEE PES Test Feeder...
Elgindy, T. and Balasubramaniam, K. National Renewable Energy Laboratory
Sep 01, 2022
4 Resources
0 Stars
Curated
4 Resources
0 Stars
Curated
AeroDyn V15.04: Design Tool for Wind and MHK Turbines
AeroDyn is a time-domain wind and MHK turbine aerodynamics module that can be coupled into the FAST version 8 multi-physics engineering tool to enable aero-elastic simulation of horizontal-axis wind turbines. AeroDyn V15.04 has been updated to include a cavitation check for MHK tu...
Murray, R. et al National Renewable Energy Laboratory
Apr 28, 2017
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
GEOPHIRES files for DDU techno-economic simulations
During 2017-2019, the U.S. Department of Energy funded six geothermal deep direct-use (DDU) projects to investigate feasibility of DDU for heating, cooling and thermal storage in the United States. In a follow-on study conducted at the National Renewable Energy Laboratory (NREL), ...
Beckers, K. and Kolker, A. National Renewable Energy Laboratory
Mar 31, 2021
1 Resources
0 Stars
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1 Resources
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MOIS Installation on NWEI Azura Half Scale WEC WETS Testing Documentation
This submission includes documentation on the Modular Ocean Instrumentation System (MOIS) installation on the Azura 1/2 scale wave energy converter at the Marine Station Kaneohe Bay (MCBH). Data from the deployment will be uploaded over the course of the test. The instrumentatio...
Nelson, E. National Renewable Energy Laboratory
May 30, 2015
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
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National Forest System Lands in geothermal potential area
A GIS layer from the BLM nationwide PEIS of lands within the U.S. National Forest system that contain geothermal potential. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data.
### License Info
Made open by BLM. http://www.doi.gov/privacy.cfm
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
National Geothermal Data System
The National Geothermal Data System (NGDS) is a catalog of documents and datasets that provide information about geothermal resources located primarily within the United States (although information from other parts of the world is also included. The catalog, which is funded by t...
Office, D. and (DOE), U. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
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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1 Resources
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NREL MOIS Data for NWEI Azura May 2016
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
Jun 07, 2016
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
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Solar Home System Jharkhand India
Script in MATLAB and data sets in .csv for over 6 months of minute-by-minute resolution of household level energy consumption based off of three solar home systems with lights and a fan installed in Jharkhand, India.
The files herein include original spreadsheets with the raw dat...
Mehra, V. National Renewable Energy Laboratory
Aug 09, 2016
1 Resources
0 Stars
In curation
1 Resources
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In curation
Spatial Data from USGS World Petroleum Assessment (2000)
This is the supporting spatial data for the USGS World Petroleum Assessment, published in 2000. The assessment is the result of a five year effort to estimate the quantities of conventional oil, gas, and natural gas liquids outside the US that have the potential to be added to the...
Hallett, K. and USGS, . National Renewable Energy Laboratory
Dec 30, 2000
9 Resources
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In curation
9 Resources
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NREL GIS Data: California Wind High Resolution
Abstract: Annual average wind resource potential of California at a 50 meter height.
Purpose: Provide information on the wind resource development potential within California.
Supplemental_Information: This data set was produced by Tru...
Purpose: Provide information on the wind resource development potential within California.
Supplemental_Information: This data set was produced by Tru...
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
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In curation
US Geothermal District Heating Data
This spreadsheet with US geothermal district heating system data includes the system year, location, size, cost, technical specs and funding sources.
Kolker, A. et al National Renewable Energy Laboratory
Nov 02, 2020
1 Resources
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1 Resources
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Occupant Behavior in Commercial Buildings: Synthetic Population, Co-Simulation with EnergyPlus and Agent Based Modeling
This technical manual serves as an outline of three separate research projects related to building energy performance modeling of occupant behavior, conducted at the Rutgers Center for Green Building (RCGB): a Synthetic Population project, a Co-Simulation of Synthetic Population w...
Andrews, C. National Renewable Energy Laboratory
Apr 26, 2016
1 Resources
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In curation
1 Resources
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TURKEY’S ENERGY FUTURE A LEAP SIMULATION AND ANALYSIS
A LEAP based analysis of the current energy system of Turkey, as well as four future scenarios, including evaluation and comparison of the effects of different policies on energy security, prices and emissions
Boudier, V. National Renewable Energy Laboratory
Jan 09, 2017
1 Resources
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In curation
1 Resources
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In curation