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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
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
Open Water Rate Specification
This repository documents the Open Water Rate Specification (OWRS), a machine-readable format for specifying and sharing water rate information. OWRS is designed for analysts, economists, and software developers interested in analyzing water rates. OWRS attempts to fully encode a ...
Data Collaborative, C. California Data Collaborative
Mar 01, 2016
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Utility Rate Database (URDB)
The Utility Rate Database (URDB) provides rate structure information for over 3,700 U.S. utilities. Rates are checked and updated annually by the National Renewable Energy Laboratory (NREL). Each record indicates the date of the last update.
The URDB allows you to search for your...
Zimny-Schmitt, D. and Huggins, J. National Renewable Energy Laboratory (NREL)
Jun 01, 2010
5 Resources
0 Stars
In curation
5 Resources
0 Stars
In curation
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (Feb 2011)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2013)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Jul 13, 2015
5 Resources
1 Stars
Publicly accessible
5 Resources
1 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2019)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. National Renewable Energy Laboratory (NREL)
Dec 01, 2020
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2014)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Dec 01, 2015
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2016)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 13, 2017
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2018)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Oct 25, 2019
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2017)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Oct 24, 2018
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2020)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. National Renewable Energy Laboratory (NREL)
Dec 01, 2021
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2021)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. National Renewable Energy Laboratory (NREL)
Nov 21, 2022
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2015)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Oct 19, 2016
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2022)
This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rate...
Huggins, J. National Renewable Energy Laboratory (NREL)
Apr 05, 2024
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2023)
This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rate...
Huggins, J. National Renewable Energy Laboratory (NREL)
Nov 06, 2024
4 Resources
0 Stars
Publicly accessible
4 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
Linearized Distribution Optimal Power Flow for OEDI SI
This research is to meant to demonstrate the OEDI SI use case for distributed optimal power flow (DOPF). The goal was to formulate the optimal power flow problem in the distribution system for active and reactive power setpoints of PV systems using topology information and voltage...
Sadnan, R. et al Pacific Northwest National Laboratory
Oct 03, 2023
2 Resources
0 Stars
Publicly accessible
2 Resources
0 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
Two-Phase Flow of Ferrofluids in Porous Media: Plateau-Rayleigh-like Instability and Suppression of Fingering
Includes six mp4 and one PDF files. The mp4 files show the percolation of ferrofluid in porous media under a magnetic field. The names of the authors are available in the PDF file. The data are from an experimental study performed at the Michigan Technological University. The expe...
Askari, R. and Khurana, M. Michigan Tech
Feb 27, 2021
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
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
Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets
This dataset contains turbine and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric conditions. The power outputs were computed using the Gaussian wake model in NREL's FLOw Redirection and Induction in ...
Ramos, D. et al National Renewable Energy Laboratory
Feb 12, 2021
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Air Leakage and Air Transfer Between Garage and Living Space
This research project focused on evaluation of air transfer between the garage and living space in a single-family detached home constructed by a production homebuilder in compliance with the 2009 International Residential Code and the 2009 International Energy Conservation Code. ...
Rudd, A. and Kerrigan, P. Advanced Building Systems
Apr 27, 2016
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
The Urban Energy-Water Nexus: Utility-Level Water Flows and Embedded Energy
There are limited open source data available for determining water production/treatment and required energy for cities across the United States. This database represents the culmination of a two-year effort to obtain data from cities across the United States via open records reque...
Chini, C. and Stillwell, A. University of Illinois at Urbana-Champaign
Feb 20, 2018
114 Resources
0 Stars
Publicly accessible
114 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