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Life Cycle Emissions Factors for Electricity Generation Technologies

This dataset consists of a table containing the distribution of literature estimates of greenhouse gas emissions for the following electricity generation and storage technologies: biopower, coal, concentrating solar power, geothermal, hydrogen storage, hydropower, lithium-ion batt...
Nicholson and HeathNational Renewable Energy Laboratory
Aug 23, 2021
2 Resources
0 Stars
Publicly accessible

Distributed Generation Market Demand (dGen) model

The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sector...
Stanley, T. et al National Renewable Energy Laboratory (NREL)
Oct 16, 2020
4 Resources
1 Stars
Publicly accessible

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

Lidar ND Halo Scanning Doppler, Boardman Derived Data

**Overview** The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR. **It is highly recommended to discuss any planned use of these data with University of Notre Dame scie...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 12, 2015
1 Resources
0 Stars
Publicly accessible

Lidar ND Halo Scanning Doppler, Boardman Processed Data

**Overview** The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR. **It is highly recommended to discuss any planned use of these data with University of Notre Dame scie...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 12, 2015
1 Resources
0 Stars
Publicly accessible

2017 Annual Technology Baseline (ATB): Cost and Performance Data for Electricity Generation Technologies

Each year since 2015, NREL has presented Annual Technology Baseline (ATB) in a spreadsheet that contains detailed cost and performance data (both current and projected) for renewable and conventional technologies. The spreadsheet includes a workbook for each technology. This sprea...
Hand. . et al National Renewable Energy Laboratory
Aug 21, 2017
1 Resources
0 Stars
Publicly accessible

Sodar ND Scintec MFAS Wind Profiler with RASS, Rufus Raw Data

**Overview** The data provide vertical mean profiles of wind and temperature. **Data Details** * Data averaged over an interval of 30 minutes. * Time stamp is included in each data file. * Location: John Day/Rufus Water Treatment Plant (45.690842,-120.745751). * Site Elevat...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 01, 2015
1 Resources
0 Stars
Publicly accessible

Lidar HilFlowS LLNL ZephIR300 WOP Processed Data

**Overview** The ZephIR300 is a continuous wave LIDAR with a range of 10 m to 300 m. During HilFlowS the ZephIR300 was programmed to measure from 10 m to 150 m. In addition, the ZephIR300 provided a measurement at 1 m height using an onboard meteorological sensor. The ZephIR300 ...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
0 Stars
Publicly accessible

Lidar HilFlowS LLNL ZephIR300 MOP Processed Data

**Overview** The ZephIR300 is a continuous wave LIDAR with a range of 10 m to 300 m. During HilFlowS the ZephIR300 was programmed to measure from 10 m to 150 m. In addition, the ZephIR300 provided a measurement at 1 m height using an onboard meteorological sensor. The ZephIR300 ...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
0 Stars
Publicly accessible

North and South Dakota High Resolution 50m Wind Resource

Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.
Langle, N. and Lopez, A. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
Publicly accessible

Reference Site Condition Datasets for Floating Wind Arrays in the United States

Floating offshore wind farm design is highly site-specific, requiring detailed information about the specific conditions of a project area for realistic design studies. Unfortunately, publicly available site condition data for potential floating offshore wind project sites in the ...
Biglu. . et al National Renewable Energy Laboratory
Aug 02, 2024
4 Resources
0 Stars
Publicly accessible

Camera / Raw Data

**Overview** The SUMR-D CART2 turbine data are recorded by the CART2 wind turbine's supervisory control and data acquisition (SCADA) system for the Advanced Research Projects Agency–Energy (ARPA-E) SUMR-D project located at the National Renewable Energy Laboratory (NREL) Flatir...
Scholbrock, A. Wind Energy Technologies Office (WETO)
Sep 10, 2019
1 Resources
0 Stars
Publicly accessible

Office of Science (Department of Energy) User Facilities

The Office of Science national scientific user facilities provide researchers with the most advanced tools of modern science including accelerators, colliders, supercomputers, light sources and neutron sources, as well as facilities for studying the nanoworld, the environment, and...
Honey, K. and (EERE), O. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
2 Resources
0 Stars
In curation

Radar TTU Ka-band, ka1 Raw Data

**Overview** The metadata for each TTUKa1 deployment can be found in the attached spreadsheet.
Gunter, S. Wind Energy Technologies Office (WETO)
Mar 03, 2015
1 Resources
0 Stars
Publicly accessible

Radar TTU Ka-band, ka2 Raw Data

**Overview** The metadata for the TTUKa2 XPIA deployments are included in the attached text file.
Gunter, S. Wind Energy Technologies Office (WETO)
Mar 03, 2015
1 Resources
0 Stars
Publicly accessible

Provider University of Washington Raw Data

**Overview** GOES satellite, WSR-88D radar, sounding balloon, surface weather observation and mesoscale model data from the area within, up, and downstream of the study area for use in event logging procedures and case study investigations.
Wade, K. Wind Energy Technologies Office (WETO)
Oct 24, 2015
1 Resources
0 Stars
Publicly accessible

SWERA: Solar and Wind Energy Resource Assessment

The Solar and Wind Energy Resource Assessment (SWERA) Programme was a collaboration of worldwide partners with a mission to provide information on renewable energy resources for countries and regions around the world. Funding and support for the SWERA Programme concluded in 2011, ...
Langle, N. National Renewable Energy Laboratory
Dec 21, 2017
2 Resources
0 Stars
In curation

ARPA-E PERFORM datasets

Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021....
Sergi, B. et al National Renewable Energy Laboratory (NREL)
Aug 18, 2022
3 Resources
1 Stars
Publicly accessible

Radar TTU radar Raw Data

**Overview** This dataset coincides with a selected atmospheric case from the 200-m meteorological tower data. **Data Details** These data have been provided by Texas Tech University, from their boundary layer radar profiler. **Data Quality** These data have been acquired in ...
Ennis, B. Wind Energy Technologies Office (WETO)
Nov 07, 2013
1 Resources
0 Stars
Publicly accessible

Sodar ND Scintec MFAS Wind Profiler with RASS, Rufus Reviewed Data

**Overview** These data provide vertical mean profiles of wind and direction (30 min time step and 10 m range gate). **Data Details** Data averaged over an interval of 30 minutes. Wind Direction is from Geographic North. Time stamp is included in each data file. Location: Jo...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 01, 2015
1 Resources
0 Stars
Publicly accessible

2024 Standard Scenarios: A U.S. Electricity Sector Outlook

This data corresponds to the 2024 Standard Scenarios report, which contains a suite of forward-looking scenarios of the possible evolution of the U.S. electricity sector through 2050. These files contain modeled projections of the future. Although we strive to capture relevant p...
Gagnon, P. et al National Renewable Energy Laboratory (NREL)
Dec 30, 2024
7 Resources
0 Stars
Publicly accessible

Combined Heat and Power Installation Database

The Combined Heat & Power (CHP) Installation Database contains information about all the known CHP installations across the country. This data is compiled through a variety of sources and is the only known data set of its kind. DOE, in partnership with the Oak Ridge National Labor...
Hampson, A. and Laboratory, O. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation

Lidar CU WindCube V1 Profiler, Troutdale Reviewed Data

**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR 22 dB are included in these 2-min averaged files.
Lundquist, J. Wind Energy Technologies Office (WETO)
Nov 19, 2015
1 Resources
0 Stars
Publicly accessible

Lidar CU WindCube V1 Profiler, Wasco Airport Reviewed Data

**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR 22 dB are included in these 2-min averaged files.
Lundquist, J. Wind Energy Technologies Office (WETO)
Feb 22, 2016
1 Resources
0 Stars
Publicly accessible

Lidar CU WindCube V2 Profiler, Gordons Ridge Reviewed Data

**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR 22 dB are included in these 2-min averaged files.
Lundquist, J. Wind Energy Technologies Office (WETO)
Nov 15, 2015
1 Resources
0 Stars
Publicly accessible
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