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Utah FORGE: Well 16A(78)-32 Core Analysis Results
This dataset features petrographic, X-Ray Diffraction (XRD), and Scanning Electron Microscopy Analyses of core samples from well 16A(78)-32, which serves as the injection well for the Utah FORGE Enhanced Geothermal System (EGS) project. In addition to an overview of the analysis,...
Jones, C. et al Energy and Geoscience Institute at the University of Utah
Sep 22, 2023
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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
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TEAMER: Numerical Modeling of WECs to Support OES Task 10
This submission contains the files for reproducing the waves only and sphere test article simulations for the experimental setup (three different wave conditions) associated with the Teamer Request for Technical Support 9 (RFTS 9) fluid dynamics simulations to support the Ocean En...
Meuris, B. et al Sandia National Laboratories
Sep 23, 2024
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Utah FORGE: Well 16A(78)-32 Core-Flooding Experiment Results
This dataset contains core-flood experimental results from the Utah FORGE project, generated through laboratory tests at Lawrence Livermore National Laboratory. The experiments were conducted at temperatures of 100C and 200C using core samples from the 16A(78)-32 well. The primary...
Smith, M. et al Lawrence Livermore National Laboratory
Apr 04, 2024
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Impact of uncoordinated plug-in electric vehicle charging on residential power demand supplementary data
This data set is provided in support of a forthcoming paper: "Impact of uncoordinated plug-in electric vehicle charging on residential power demand," [1].
These files include electricity demand profiles for 200 households randomly selected among the ones available in the 2009 R...
MuratoriNational Renewable Energy Laboratory
Jun 13, 2017
3 Resources
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Buildings Performance Database
The Buildings Performance Database (BPD) unlocks the power of building energy performance data. The platform enables users to perform statistical analysis on an anonymous dataset of tens of thousands of commercial and residential buildings from across the country. Users can compar...
Contact, B. and (EERE), O. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
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In curation
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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
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Adsorption Heat Pump Coatings Investigation
In this study, a theoretical investigation was made to predict the performances of zeolite Y and SAPO-34 coatings for an adsorption cooling system operated by waste heat, under various conditions. A mathematical model developed and tested previously for coatings of A and X type ze...
Tatlier, M. Istanbul Technical University
May 22, 2020
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Sodar Colorado City, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .txt files from the Colorado City, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind r...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 14, 2011
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Sodar St. James, MN Processed Data
**Overview**
This dataset was produced from the raw sodar .wtb files from the St. James, MN site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind reso...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 27, 2011
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Radar ESRL Wind Profiler with RASS, Wasco Airport Raw Data
**Overview**
**Winds**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Oct 28, 2015
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Radar ARL Wind Profilerwith RASS, Boardman Raw Data
**Overview**
**Winds**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Oct 28, 2015
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Radar ESRL Wind Profiler with RASS, Condon Raw Data
**Overview**
**Winds**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Oct 28, 2015
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Radar ESRL Wind Profiler with RASS, Troutdale Raw Data
**Overview**
**Winds**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Dec 01, 2015
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Surface Meteorological Station HilFlowS LLNL 52m tall tower EOP Processed Data
**Overview**
The WindCube v2 was co-located with Site 300’s 52-m-tall meteorological tower so that measurements below 40 m could also be observed. The meteorological tower has three measurement levels: 10 m, 23 m, and 52 m. Wind speed was measured with a cup anemometer; wind di...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
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Simulated wind speed and initial conditions over the WFIP2 region: Cold-front (D01)
**Overview**
The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...
Liu, Y. Wind Energy Technologies Office (WETO)
Aug 19, 2016
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Simulated wind speed and initial conditions over the WFIP2 region: Cold-front (D02)
**Overview**
The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...
Liu, Y. Wind Energy Technologies Office (WETO)
Aug 19, 2016
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Simulated wind speed and initial conditions over the WFIP2 region: Sea-breeze (D01)
**Overview**
The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...
Liu, Y. Wind Energy Technologies Office (WETO)
Aug 15, 2016
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Simulated wind speed and initial conditions over the WFIP2 region: Sea-breeze (D02)
**Overview**
The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...
Liu, Y. Wind Energy Technologies Office (WETO)
Aug 15, 2016
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Ridgelines: Department of Interior Definition
This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base."...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
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California Quality-controlled Reanalysis and Observational Data for Buoy (120), Humboldt / Derived Data
**Overview**
This collection provides spatiotemporally paired reanalysis and satellite data to supplement the lidar buoy observations during the California deployments. Point time series of observed and reanalysis data are provided, using inverse distance weighting to geolocate ...
Sheridan, L. Wind Energy Technologies Office (WETO)
Sep 30, 2020
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Chaffee County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Dolores County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Garfield County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Routt County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
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