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Measure Guideline: Deep Energy Enclosure Retrofit for Interior Insulation of Masonry Walls and Flat Roofs

Measure Guideline: Deep Energy Enclosure Retrofit for Zero Energy Ready House Flat Roofs BSC TO5 Task 7.4 Deep Energy Enclosure Retrofit (DEER) for Interior Insulation of Masonry Walls Lawrence, MA 01840 This Measure Guideline describes a deep energy enclosure retrofit solution ...

Musunuru, S. et al Building Science Corporation

Apr 27, 2016
5 Resources
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NREL RSF Weather Data 2011

Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers computers that communicate with the building's various control systems to...

Sheppy, M. et al National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
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Comparative Performance of Four Prototype Mechanical Building Cooling Systems in a Desert Climate

Data and result of approximately fifteen months of monitoring of four houses located in the desert climate of Borrego Springs, California. Four houses were constructed using identical floor plans but differing wall materials, and different cooling systems that were designed to red...

Springer, D. et al Davis Energy

Jul 20, 2016
9 Resources
0 Stars
Curated

Brady's Geothermal Field DAS Vibroseis Data

The submitted data correspond to the monitored vibrations caused by a vibroseis seismically exciting the ground in the vertical direction and captured by the DAS horizontal and vertical arrays during the PoroTomo Experiment. The data also include a file with the acceleration recor...

Feigl, K. University of Wisconsin

Mar 25, 2016
11 Resources
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NWEI Azura June 2018 Data

Data files for the NWEI Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI. See general documentation describing sp...

Lettenmaier, T. Northwest Energy Innovations

Jul 31, 2018
8 Resources
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S-Layer Nanosheet Binding of Zn and Gd

This data characterizes binding of Zn2+ and Gd3+ to engineered nanosheets at 40C and in a brine solution. The engineered nanosheets are composed of surface-layer (S-layer) proteins which form 2 D crystalline sheets and display Zn2+ or Gd3+-binding domains on these sheets. Their ab...

Ajo-Franklin, C. et al Lawrence Berkeley National Laboratory

Apr 15, 2016
2 Resources
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Analyzed Boise Data for Oscillatory Hydraulic Tomography

Data here has been "pre-processed" and "analyzed" from the raw data submitted to the GDR previously (raw data files found at http://gdr.openei.org/submissions/479. doi:10.15121/1176944 after 30 September 2017). First, we submit .mat files which are the "pre-processed" data (must h...

Lim, D. University of Wisconsin

Jul 01, 2015
8 Resources
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Comfort in High-Performance Homes in a Hot-Humid Climate

TO5 2.3.2: Large-Scale Temperature Study Although space-conditioning systems are required to meet standards such as those in the Air Conditioning Contractors of America (ACCA) Manual RS (Rutkowski 1997) and the ASHRAE Standard 55 (ASHRAE 2013) comfort criteria, little is known ab...

Poerschke, A. and Beach, R. Ibacos Innovation

Apr 27, 2016
3 Resources
0 Stars
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3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA

In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydr...

Siler, D. and Pepin, J. United States Geological Survey

Oct 01, 2021
4 Resources
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GeoVision Barriers Taskforce

This submission includes papers, presentations, and data developed during the multi-year GeoVision Barriers Taskforce effort. Developers have identified many non-technical barriers to geothermal power development, including land access, permitting, and market barriers. Included i...

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

Sep 30, 2015
5 Resources
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...

Siler, D. et al United States Geological Survey

Oct 01, 2021
6 Resources
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Chlorite Dissolution Rates From 25 to 275 degrees and pH 3 to 10

We have calculated a chlorite dissolution rate equation at far from equilibrium conditions by combining new data (20 experiments at high temperature) with previously published data Smith et al. 2013 and Lowson et al. 2007. All rate data (from the 127 experiments) are tabulated in...

Lawrence Livermore National Laboratory

Sep 27, 2013
2 Resources
0 Stars
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Reference Model 3 Cost Breakdown (RM3: Wave Point Absorber)

Contains the Reference Model 3 (RM3) spreadsheets with the cost breakdown structure (CBS) for the levelized cost of energy (LCOE) calculations for a single RM3 device and multiple unit arrays. These spreadsheets are contained within an XLSX file and a spreadsheet editor such as Mi...

Neary, V. et al Sandia National Laboratories

Sep 30, 2014
2 Resources
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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...

Marone, C. et al Pennsylvania State University

May 14, 2021
3 Resources
0 Stars
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StingRAY WEC Risk Register

Risk Registers for major subsystems of the StingRAY WEC completed in compliance with the DOE Risk Management Framework developed by NREL.

Rhinefrank, K. Columbia Power Technologies, Inc.

Feb 24, 2017
18 Resources
0 Stars
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Evaluation of the Performance of Houses With and Without Supplemental Dehumidification in a Hot-Humid Climate

Understanding indoor humidity conditions in low energy homes in hot-humid climates is critical to promoting long term occupant comfort, indoor air quality and building durability. The results of this study were expected to inform the residential building community on whether suppl...

Kerrigan, P. and Norton, P. National Renewable Energy Laboratory

Apr 27, 2016
7 Resources
0 Stars
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Maine Geological Survey Borehole Temperature Profiles

This dataset includes temperature profiles from 30 boreholes throughout Maine that were selected for their depth, location, and lithologies encountered. Depths range from about 300 feet to 2,200 feet. Most of the boreholes selected for measurement were completed in granite becau...

Marvinney, R. Arizona State Geological Survey

Nov 06, 2013
2 Resources
0 Stars
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Brady Geothermal Field InSAR Raw Data

List of TerraSAR-X/TanDEM-X images acquired between 2015-01-01 and 2015-03-31, and archived at https://winsar.unavco.org. See file "BHS InSAR Data with URLs.csv" for individual links. NOTE: The user must create an account in order to access the data (See "Instructions for Creatin...

Ali, T. University of Wisconsin

Mar 31, 2015
2 Resources
0 Stars
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Lab-Scale Stimulation Results on Surrogate Fused Silica Samples

Lab-scale stimulation work on non-porous fused silica (similar mechanical properties to igneous rock) was performed using pure water, pure CO2 and water/CO2 mixtures to compare back to back fracturing performance of these fluids with PNNL's StimuFrac.

Fernandez, C. Pacific Northwest National Laboratory

Jul 06, 2016
1 Resources
0 Stars
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Bias Corrected NOAA HRRR Wind Resource Data for Grid Integration Applications

Many weather years of high-quality wind data are widely accepted in the grid integration community to be important for studying wind energy technical potential, energy system operations, and grid resilience. NREL makes high-quality wind and solar resource data available. NREL's G...

Buster, G. et al The National Renewable Energy Lab (NREL)

Oct 15, 2024
6 Resources
0 Stars
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Measured Performance of a Varied Airflow Small-Diameter Duct System

In this study, researchers with the U.S. Department of Energy's Building America team IBACOS built on research previously done in two new-construction unoccupied test houses-one in Pittsburgh, Pennsylvania (Poerschke and Stecher 2014) and one in Fresno, California (Stecher and Poe...

Poerschke, A. Ibacos Innovation

Apr 27, 2016
5 Resources
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Brady's Geothermal Field Nodal Seismometer Data

This submission includes links to raw data, field notes, metadata, and p-wave arrival auto-picks from processed data (not provided) from the nodal seismometer array deployed at the PoroTomo Natural Laboratory in Brady's Hot Springs, Nevada during the March 2016 testing. The data i...

Parker, L. University of Wisconsin

Mar 30, 2016
7 Resources
0 Stars
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Wind Integration National Dataset (WIND) Toolkit

Wind resource data for North America was produced using the Weather Research and Forecasting Model (WRF). The WRF model was initialized with the European Centre for Medium Range Weather Forecasts Interim Reanalysis (ERA-Interm) data set with an initial grid spacing of 54 km. Thre...

Maclaurin, G. et al National Renewable Energy Laboratory

Sep 26, 2014
6 Resources
1 Stars
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BOBr Processed Breaking Wave Data, Agate Beach, OR

This data was recorded by the BOBr (Buoy to Observe Breaking) off the coast of Newport, OR at Agate Beach in the surf zone. The data was recorded by a 9dof inertial measurement unit and consists of a timestamp, quaternion orientation, acceleration vector, rotation vector, and mag...

C, A. Oregon State University

Oct 31, 2013
17 Resources
0 Stars
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GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...

Buster, G. et al Upflow

Jun 30, 2021
11 Resources
0 Stars
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