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OU (A. Ghassemi) Reservoir Geomechanics & Seismicity Research Group
Data on Injection-Induced Shear Slip and Permeability Increase in Granite Fractures. In the plots, we present the results of novel injection-induced shear tests on cylindrical granite samples each containing a single tensile or saw-cut fracture. Flow rate and permeability are sho...
Ghassemi, A. University of Oklahoma
Aug 14, 2018
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
Exploring Assessment and Remediation of Residential Duct System Performance, Southeast Energy Use
The project took place in the Southeast from October 2024 through July 2026 and much of the data evaluated come from the Tennessee Valley Authority service territory. The goal of this work was to addresses the problem that, when ducts are leaky, undersized, poorly insulated, or ot...
Gigley, G. Southeast Energy Efficiency Alliance
Jun 12, 2026
1 Resources
0 Stars
In progress
1 Resources
0 Stars
In progress
Mass Customization of Prefabricated Panel Blocks for Deep Wall Insulation Retrofits
The project this data comes from looks to make building wall retrofits less expensive and easier to install by using exterior insulating panels. This is done to make buildings more energy efficient without expensive wall retrofits or reconstruction. The "Measurement and Verificati...
Sharon, A. et al Fraunhofer Center for Manufacturing Innovation CMI
Dec 14, 2021
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Moisture Risk in Unvented Attics Due to Air Leakage Paths Minneapolis Minnesota
IBACOS completed an initial analysis of moisture damage potential in an unvented attic insulated with closed-cell spray polyurethane foam. To complete this analysis, the research team collected field data, used computational fluid dynamics to quantify the airflow rates through ind...
Rapport, A. et al Ibacos Innovation
Apr 27, 2016
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
BUTTER Empirical Deep Learning Dataset
The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
4 Resources
0 Stars
Publicly accessible
4 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
4 Resources
1 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
4 Resources
0 Stars
Publicly accessible
Advancing Replicable Solutions for High-Performance Homes in the Southeast JMC Patrick Square
The work presented in this report advances the goals of the U.S. Department of Energy Building America program by improving the energy peformance of affordable and market-rate housing. Southface Energy Institute (Southface), part of the U.S. Department of Energy Building America r...
Sweet, M. et al Southface
Apr 27, 2016
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
National Transmission Planning Study Long-Term Modeling Results
The National Transmission Planning Study (NTP Study) analyzed the transformation needed to ensure the U.S. transmission system continues to reliably meet electricity demand as the power sector evolves. The study linked several long and short-term power systems models to test numer...
Brown, P. and Mai, T. National Renewable Energy Laboratory (NREL)
Sep 10, 2023
14 Resources
0 Stars
Publicly accessible
14 Resources
0 Stars
Publicly accessible
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
2 Stars
Publicly accessible
6 Resources
2 Stars
Publicly accessible
Energy Appliance Data 2009-2010
Datasets for residential appliances energy usage/efficiency. The Federal Trade Commission (FTC) collects manufacturer data about the energy use and efficiency of appliances. All of the data was submitted by manufacturers under the FTC's Appliance Labeling Rule (see "FTC Appliance ...
Trade Commission, F. National Renewable Energy Laboratory
Jul 29, 2014
19 Resources
0 Stars
Publicly accessible
19 Resources
0 Stars
Publicly accessible
WaterTAP3 Model Input Data for NAWI's Eight Source Water Baseline Analyses
This folder contains the input data for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) source water baselines studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities ...
Miara, A. et al National Renewable Energy Laboratory
Feb 01, 2022
16 Resources
0 Stars
Publicly accessible
16 Resources
0 Stars
Publicly accessible
2023 National Offshore Wind data set (NOW-23)
The 2023 National Offshore Wind data set (NOW-23) is the latest wind resource data set for offshore regions in the United States, which supersedes, for its offshore component, the Wind Integration National Dataset (WIND) Toolkit, which was published about a decade ago and is curre...
Bodini, N. et al National Renewable Energy Laboratory
Jan 01, 2020
23 Resources
2 Stars
Publicly accessible
23 Resources
2 Stars
Publicly accessible
ARPA-E Grid Optimization (GO) Competition Challenge 2
The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap ratios, phase shifting transformers, switchable shunts, price-responsive demand, ramp rate constrained generators and l...
Elbert, S. et al Pacific Northwest National Laboratory
Sep 20, 2024
29 Resources
0 Stars
Publicly accessible
29 Resources
0 Stars
Publicly accessible