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Split Phase Inverter Data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 8.35 kW off-the-shelf grid following split phase PV inverter in the experiments. We used controllable ...

Prabakar. . et al National Renewable Energy Laboratory

Mar 23, 2023
2 Resources
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Integrated: Geospatial Toolkit GIS data for Oaxaca from NREL

The Geospatial Toolkit (GsT) is a map viewer developed by the National Renewable Energy Laboratory (NREL). The toolkit helps energy planners, project developers, researchers and others identify areas of a country that show good potential for renewable energy projects. The toolkit ...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

Integrated: Geospatial Toolkit GIS data for India from NREL

The Geospatial Toolkit (GsT) is a map viewer developed by the National Renewable Energy Laboratory (NREL). The toolkit helps energy planners, project developers, researchers and others identify areas of a country that show good potential for renewable energy projects. The toolkit ...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

U.S. Great Lakes Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

U.S. Hawaii Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

U.S. Pacific Coast Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

U.S. Gulf of Mexico Coast Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

Integrated: Geospatial Toolkit GIS data for Bhutan from NREL

The Geospatial Toolkit (GsT) is a map viewer developed by the National Renewable Energy Laboratory (NREL). The toolkit helps energy planners, project developers, researchers and others identify areas of a country that show good potential for renewable energy projects. The toolkit ...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

Solar Resources by Class and Country

These estimates are derived from the best available solar resource data available to NREL. Resources are organized by class and country. Resolution varies spatially from 1 km to 1 degree (approximately 100 km) depending on the data source. High spatial resolution datasets (1 km...

Heimiller, D. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
1 Stars
In curation

NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level

GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL's Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using win...

Heimiller, D. et al National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
0 Stars
Publicly accessible

Elizabeth City State University: Elizabeth City, North Carolina (Data)

The Historically Black Colleges and Universities (HBCU) Solar Radiation Monitoring Network operated from July 1985 through December 1996. Funded by DOE, the six-station network provided 5-minute averaged measurements of direct normal, global, and diffuse horizontal solar irradianc...

Stoffel and AndreasNational Renewable Energy Laboratory

Dec 17, 2014
2 Resources
0 Stars
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Solar Radiation Monitoring of Bluefield State College: Bluefield, West Virginia (Data)

The Historically Black Colleges and Universities (HBCU) Solar Radiation Monitoring Network operated from July 1985 through December 1996. Funded by DOE, the six-station network provided 5-minute averaged measurements of direct normal, global, and diffuse horizontal solar irradianc...

Stoffel and AndreasNational Renewable Energy Laboratory

Dec 17, 2014
2 Resources
0 Stars
Publicly accessible

GEOPHIRES Simulations for Deep Direct Use (DDU) Projects

This folder contains the GEOPHIRES codes and input files for running the base case scenarios for the six deep direct-use (DDU) projects. The six DDU projects took place during 2017-2020 and were funded by the U.S. Department of Energy Geothermal Technologies Office. They investiga...

Beckers, K. National Renewable Energy Laboratory

Jun 30, 2020
1 Resources
0 Stars
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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
0 Stars
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DEPRECATED: dGen (Distributed Generation Market Demand) Model Data: Alpha Release

DEPRECATED. DO NOT USE. See current version at https://dx.doi.org/10.7799/1812548. See active link below in the resources section. Open sourced data needed to run the basic alpha release version of the dGen model. Includes a pre-generated agent file of 100,000 agents in pickl...

Stanley. . et al National Renewable Energy Laboratory

Apr 01, 2020
10 Resources
0 Stars
Publicly accessible

NREL U.S. Solar Photovoltaic System Cost Benchmark Q1 2017 Report

Excel data file for the U.S. Solar Photovoltaic System Cost Benchmark Q1 2017 Report

Fu. . et al National Renewable Energy Laboratory

Aug 23, 2017
1 Resources
0 Stars
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dGen (Distributed Generation Market Demand) Model Data: Version 1.0.0 Agents

Open sourced agent files needed to run version 1.0.0 of the dGen model. Contains all national, ISO, and state level residential and commercial agents.

Stanley. . et al National Renewable Energy Laboratory

Aug 10, 2021
1 Resources
0 Stars
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Accelerated Lifetime Testing of Main Shaft Seals for Tidal Turbine Rotors

The lifetime assessment experimental platform described in this report is specifically designed for testing the low-speed main shaft seal for Verdant Power's (Verdant Power Inc., New York, New York) fifth-generation (Gen5) underwater power generation turbine. This project is joint...

Murray, R. et al National Renewable Energy Laboratory

Jul 01, 2024
1 Resources
0 Stars
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Description of the NSW Australia Electricity Network

Information about the New South Wales (NSW) electricity network is available. The information was taken from a line diagram of the NSW (Australia) Electricity network circa 2002 containing electrical bus and transmission line properties for use in load flow analysis. The results o...

Neale, D. and Management, M. National Renewable Energy Laboratory

Jan 01, 2002
1 Resources
0 Stars
In curation

Results from "Charging Needs for Electric Semi-Trailer Trucks"

This data set includes modeling results from “Charging Needs for Electric Semi-Trailer Trucks” including charging demand distributions and charging speed requirements for the multiple scenarios and semi-trailer truck operating segments described in the study. Please cite as:&n...

BorlaugNational Renewable Energy Laboratory

Oct 10, 2022
1 Resources
0 Stars
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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
0 Stars
Publicly accessible

U.S. Solar Photovoltaic System Cost Benchmark Q1 2018

NREL has been modeling U.S. photovoltaic PV system costs since 2009. The U.S. Solar Photovoltaic System CostBenchmark Q1 2018 report benchmarks costs of U.S. solar PV for residential commercial and utility-scale systems built in the first quarter of 2018 Q1 2018. THE methodology i...

Fu. . et al National Renewable Energy Laboratory

Mar 15, 2019
1 Resources
0 Stars
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Regulatory and Permitting Information Desktop (RAPID) Toolkit

The Regulatory and Permitting Information Desktop (RAPID) Toolkit combines the former Geothermal Regulatory Roadmap, National Environmental Policy Act (NEPA) Database, and other resources into a Web-based tool that gives the regulatory and utility-scale geothermal developer commun...

Young, K. and Levine, A. National Renewable Energy Laboratory

Sep 30, 2014
4 Resources
0 Stars
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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
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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
0 Stars
Publicly accessible

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