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Radar ANL Wind Profiler with RASS, Goldendale 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)
Mar 13, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ANL Wind Profiler with RASS, Yakima 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)
Mar 14, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ANL Wind Profiler, Walla Walla 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)
Mar 13, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Phased Retrofits in Existing Homes in Florida Phase I: Shallow and Deep Retrofits
The U.S. Department of Energy's Building America research team Building America Partnership for Improved Residential Construction is collaborating with Florida Power & Light (FPL) to conduct a phased residential energy-efficiency retrofit program. This research seeks to establish ...
Beal, D. et al University of Central Florida Florida Solar Energy Center
Apr 27, 2016
10 Resources
0 Stars
Publicly accessible
10 Resources
0 Stars
Publicly accessible
Thermal Drawdown-Induced Flow Channeling in a Single Fracture in EGS
The evolution of flow pattern along a single fracture and its effects on heat production is a fundamental problem in the assessments of engineered geothermal systems (EGS). The channelized flow pattern associated with ubiquitous heterogeneity in fracture aperture distribution caus...
Guo, B. et al Lawrence Livermore National Laboratory
Nov 15, 2015
1 Resources
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1 Resources
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Utah FORGE: GIS Well Temperature Data
This is a GIS point feature shapefile representing wells, and their temperatures, that are located in the general Utah FORGE area near Milford, Utah. There are also fields that represent interpolated temperature values at depths of 200 m, 1000 m, 2000 m, 3000 m, and 4000 m. in deg...
Gwynn, M. et al Energy and Geoscience Institute at the University of Utah
Feb 28, 2018
1 Resources
0 Stars
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1 Resources
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Gulf of Mexico Outer Continental Shelf Mapping Data
The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) published geographic data of offshore activities in the Gulf of Mexico Outer Continental Shelf (OCS) area. The data were built from the Technical Information Management Sys...
Hallett, K. and (BOEMRE), U. National Renewable Energy Laboratory
May 30, 2007
14 Resources
0 Stars
In curation
14 Resources
0 Stars
In curation
RANS Simulation RRF of Single Lab-Scaled DOE RM1 MHK Turbine
Attached are the .cas and .dat files for the Reynolds Averaged Navier-Stokes (RANS) simulation of a single lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CFD-package.
The lab-scaled DOE RM1 is a re-design geometry, based of the full scale DOE RM1 design, producing same p...
Javaherchi, T. et al University of Washington
Apr 15, 2014
3 Resources
0 Stars
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3 Resources
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DEEPEN: Newberry Volcano MT and Gravity Data 2022 and 2023 Acquisition and Processing
As part of DEEPEN (DE-risking Exploration of geothermal Plays in magmatic ENvironments), a 3D play fairway analysis (PFA) was conducted at Newberry Volcano in Central Oregon for multiple play types (conventional hydrothermal, superhot EGS, and supercritical). For use in this PFA, ...
Shultz, A. et al Enthalpion Energy
Jun 30, 2023
8 Resources
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Publicly accessible
8 Resources
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Publicly accessible
Appendices for Geothermal Exploration Artificial Intelligence Report
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
0 Stars
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12 Resources
0 Stars
Publicly accessible
Microwave Radiometer CU Radiometrics MWR, Condon Raw Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
Microwave Radiometer CU Radiometrics MWR, Condon Reviewed Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
Microwave Radiometer ESRL Radiometrics MWR, Troutdale Raw Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Microwave Radiometer ESRL Radiometrics MWR, Troutdale Reviewed Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Microwave Radiometer ESRL Radiometrics MWR, Wasco Airport Raw Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Microwave Radiometer ESRL Radiometrics MWR, Wasco Airport Reviewed Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Microwave Radiometer UND Radiometrics MWR, Rufus Raw Data
**Overview**
These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km.
**Data Details**
All output files are named automatically using the following format:
yyyy-mm-dd_hh-mm-ss_xxx.csv,
where yyyy...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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WISE-CASING: Seismic Experiment at Richmond Field Station, CA
This experiment is testing the tube waves reflected from the bottom of the well. We put six single-channel geophones on the surface and a 24-channel downhole hydrophone into the well. The well is about 30 meters deep. Just a steel casing in the sand formation, no cement.
Wu, Y. et al Lawrence Berkeley National Laboratory
Apr 25, 2018
32 Resources
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32 Resources
0 Stars
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Utah FORGE: Development of Multi-Stage Fracturing System and Wellbore Tractor to Enable Zonal Isolation During Stimulation and EGS Operations in Horizontal Wellbores
This paper discusses the progress on a project funded by the DOE Utah FORGE (Frontier Observatory for Research in Geothermal Energy) for the development of a subsurface heat exchanger for Enhanced Geothermal Systems (EGS) using unique casing sleeves cemented in place and are used ...
Fleckenstein, W. et al Colorado School of Mines
Oct 05, 2022
1 Resources
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1 Resources
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Microhole drilling technology utilizing a golden section search algorithm
A fundamental issue in microhole drilling is that delivering high weight-on-bit (WOB), high torque rotational horsepower to a conventional drill bit does not scale down to the hole sizes necessary to realize the envisioned cost savings An optimization algorithm called a golden sec...
Su, J. et al Sandia National Laboratories
Jun 23, 2021
7 Resources
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7 Resources
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Radar 449MHz Astoria, OR (AST) 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...
Gottas, D. Wind Energy Technologies Office (WETO)
Sep 02, 2015
1 Resources
0 Stars
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1 Resources
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Radar 449MHz Forks, WA (FKS) 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...
Gottas, D. Wind Energy Technologies Office (WETO)
Jul 22, 2015
1 Resources
0 Stars
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1 Resources
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wfip2.model/realtime.hrrr_esrl.graphics.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Dec 14, 2015
1 Resources
0 Stars
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1 Resources
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wfip2.model/realtime.hrrr_esrl.icbc.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Dec 01, 2015
1 Resources
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1 Resources
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wfip2.model/realtime.hrrr_wfip2.graphics.02
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Dec 16, 2015
1 Resources
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1 Resources
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Publicly accessible