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Demand-Side Grid (dsgrid) TEMPO Light-Duty Vehicle Charging Profiles v2022
Simulated hourly electric vehicle charging profiles for light-duty household passenger vehicles in the contiguous United States, 2018-2050. Profiles are differentiated by scenario, county, household and vehicle types, and charging type. Data was produced in 2022 using the Transpor...
Yip, A. et al National Renewable Energy Laboratory
Aug 29, 2023
8 Resources
0 Stars
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8 Resources
0 Stars
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Thermal Cooling Water Datasets for Electric Sector Modeling
This spreadsheet contains data inputs associated with representations of water (i.e., use, supply, costs) for thermo-electric based production. Values in this spreadsheet have been used to support multiple transmission-related planning studies, using models such as Regional Energy...
Cohen. . et al National Renewable Energy Laboratory
Sep 09, 2024
1 Resources
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1 Resources
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Alabama State Oil and Gas Board: Oil Well Records (2/9/11 3/18/11)
The Alabama State Oil and Gas Board publishes well record permits to the public as they are approved. This dataset is comprised of 50 recent well record permits from 2/9/11 3/18/11. The dataset lists the well name, county, operator, field, and date approved, among other fields. St...
Hill, G. and Alabama, G. National Renewable Energy Laboratory
Feb 08, 2011
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Renewable Energy Potential Model: Priority Geothermal Leasing Areas ReEDs Results
This dataset contains the results of a study conducted by the National Renewable Energy Laboratory (NREL) to identify potential future priority geothermal leasing areas on Bureau of Land Management (BLM) and United States Forest Service (USFS) lands. The analysis uses the Regional...
Smith, F. et al National Renewable Energy Laboratory
May 20, 2024
4 Resources
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4 Resources
0 Stars
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Battery Inverter Experimental 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 30 kW off-the-shelf grid following battery inverter in the experiments. We used controllable AC supply...
Prabakar. . et al National Renewable Energy Laboratory
Jan 06, 2023
2 Resources
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2 Resources
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Resource Reporting Methodology Analysis and Development of Geothermal Reporting Metric for the Geothermal Technologies Office Hydrothermal Program
The US Geological Survey (USGS) resource assessment (Williams et al., 2009) outlined a mean 30GWe of undiscovered hydrothermal resource in the western US. One goal of the Geothermal Technologies Office (GTO) is to accelerate the development of this undiscovered resource. The Geoth...
YoungNational Renewable Energy Laboratory
Jan 19, 2016
1 Resources
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1 Resources
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PV Inverter Experimental Dataset Version 2 with 100 Percent Power
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used controllable AC supply and ...
Prabakar. . et al National Renewable Energy Laboratory
Nov 10, 2023
2 Resources
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2 Resources
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PV Inverter Experimental 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 20 kW off-the-shelf grid following PV inverter in the experiments. We used controllable AC supply and ...
Prabakar. . et al National Renewable Energy Laboratory
Jan 06, 2023
2 Resources
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2 Resources
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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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2 Resources
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Indoor and Outdoor Temperature data
We have used three LM35 temperature sensors to sense indoor and outdoor temperature at Bangkok University , Thailand. Two sensors (Sensor A and B)were placed in a air-conditioned room in the Engineering Building (6th Floor) and kept once sensor outside (Sensor C)
Maduranga, P. National Renewable Energy Laboratory
Jan 21, 2018
1 Resources
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In curation
1 Resources
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Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)
This data set contains the full-resolution and state-level data described in the linked technical report (https://www.nrel.gov/docs/fy18osti/71492.pdf). It can be accessed with the NREL-dsgrid-legacy-efs-api, available on GitHub at https://github.com/dsgrid/dsgrid-legacy-efs-api a...
Hale, E. et al National Renewable Energy Laboratory
Jul 08, 2018
6 Resources
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6 Resources
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GeoRePORT Case Studies Coso, WSMR, Dixie Valley, and Chena Hot Springs
The Geothermal Resource Portfolio Optimization and Reporting Technique (GeoRePORT) was developed with funding from the U.S. Department of Energy Geothermal Technologies Office to assist in identifying and pursuing long-term investment strategies through the development of a resour...
Kolker, A. et al National Renewable Energy Laboratory
Sep 30, 2019
6 Resources
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6 Resources
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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
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1 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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1 Resources
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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
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10 Resources
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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
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1 Resources
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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
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1 Resources
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CHP Units in Washington State
This is data taken from the website http://www.eea-inc.com/chpdata/States/WA.html on 2/3/2015 regarding the Cogeneration units in Washington State. The first book in the Excel Spreadsheet contains the data, the second book contains an explanation of the prime movers, and the third...
Huggins, J. National Renewable Energy Laboratory
Feb 02, 2015
1 Resources
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In curation
1 Resources
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Bifacial PV Test-Bed Irradiance Measurements
Data for 2 front-facing and 4 rear-facing IMT irradiance sensors placed on a scaled-down setup that replicate a PV array in a highly-reflective rooftop. The test-bed consist of 3 rows of 20x2ft aluminum sheets (the “panels”), supported by a Unistrut structure, with 6 irra...
Ayala Pelaez. . et al National Renewable Energy Laboratory
Dec 10, 2019
1 Resources
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1 Resources
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TMY3 Weather Data for ComStock and ResStock
A set of TMY3 EPW weather files for each county of the U.S. NOTE: A file was uploaded on 2022/10/05 with additions to address known missing data for Nolan County, TX (FIPS: 48353), Fisher County, TX (FIPS: 48151), and Stonewall County, TX (FIPS: 48433).
Bianchi and FontaniniNational Renewable Energy Laboratory
Jan 12, 2021
1 Resources
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1 Resources
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University of Oregon: GPS-based Precipitable Water Vapor (PWV)
A partnership with the University of Oregon and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect Precipitable Water Vapor (PWV) data to compliment existing resource assessment data collection by the university.
Andreas and VignolaNational Renewable Energy Laboratory
Jan 19, 2016
1 Resources
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1 Resources
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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
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In curation
1 Resources
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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
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1 Resources
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Microgrid Load and LCOE Modelling Results
These tools are designed to inform high level thinking around micro-grid load and tariff considerations in sub-Saharan Africa. There are two related tools in this dataset:
1. Microgrid REopt LCOE Results Explorer. The purpose of this tool is to display levelized cost of electri...
Li. . et al National Renewable Energy Laboratory
Jan 04, 2018
2 Resources
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2 Resources
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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
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1 Resources
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