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Air Pollutant Emissions Inventory of Large-Scale Production of Selected Biofuels Feedstocks in 2022 supporting data
Data provided are numeric results used to plot the maps/figures presented in the paper “Air Pollutant Emissions Inventory of Large-Scale Production of Selected Biofuels Feedstocks in 2022” ([DOI: 10.1002/bbb.1620](http://onlinelibrary.wiley.com/doi/10.1002/bbb.1620/full)).
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Zhang, Y. National Renewable Energy Laboratory
Oct 05, 2015
13 Resources
0 Stars
In curation
13 Resources
0 Stars
In curation
SubTER Final Magnetotelluric (MT) Data: Mineral Mountains, Utah
Subsurface Science, Technology and Engineering Research, and Development (SubTER) Crosscut is a collaboration across the Department of Energy offices involved in research activities in energy production/extraction, subsurface storage, and environmental remediation. This submission...
Wannamaker, P. Energy and Geoscience Institute at the University of Utah
Oct 13, 2021
2 Resources
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Publicly accessible
2 Resources
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Publicly accessible
Utah FORGE: Heat Flow Contours and Well Data
This submission contains a shapefile of heat flow contour lines around the FORGE site located in Milford, Utah. The model was interpolated from data points in the Milford_wells shapefile. This heat flow model was interpolated from 66 data points using the kriging method in Geostat...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 09, 2016
2 Resources
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Publicly accessible
2 Resources
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Commercial Building Profiles
This dataset includes simulation results from a national-scale study of the commercial buildings sector. Electric load profiles contain the hour-by-hour demand for electricity for each building. Summary tables describe individual buildings and their overall annual energy ...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
0 Resources
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Utah FORGE Project 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements
The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. FORGE project 3-2535 is planning on using a casing source ...
Alumbaugh, D. et al Lawrence Berkeley National Laboratory
Dec 01, 2022
5 Resources
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Publicly accessible
5 Resources
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Ocean Thermal Energy Conversion (OTEC) Plant Spacing Estimates
This shapefile represents estimated plant spacing distances.
The estimates shown here were obtained considering the availability of cold water at a particular location based on two criteria, the deep-water velocities from HYCOM and a layer-depth constraint estimated from the gl...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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In curation
2 Resources
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In curation
Ocean Thermal Energy Conversion (OTEC) Sea Surface Temperature (Annual Average)
This shapefile represents annual average sea surface temperature recordings.
The sea surface temperature is the temperature of the warm water source used by an OTEC plant. This is defined to be near the sea surface at a depth of 20 m, the approximate depth of a warm water intak...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Ocean Thermal Energy Conversion (OTEC) Sea Surface Temperature (Summer Average)
This shapefile represents seasonal summer average sea surface temperature recordings.
The sea surface temperature is the temperature of the warm water source used by an OTEC plant. This is defined to be near the sea surface at a depth of 20 m, the approximate depth of a warm wa...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Ocean Thermal Energy Conversion (OTEC) Sea Surface Temperature (Winter Average)
This shapefile represents seasonal winter average sea surface temperature recordings.
The sea surface temperature is the temperature of the warm water source used by an OTEC plant. This is defined to be near the sea surface at a depth of 20 m, the approximate depth of a warm wa...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
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1 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
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3 Resources
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ARPA-E Grid Optimization (GO) Competition Challenge 3
Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public.
The Grid Optimizat...
Elbert, S. et al Pacific Northwest National Laboratory
May 02, 2024
39 Resources
1 Stars
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39 Resources
1 Stars
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification.
In this study, a machine-learning-assiste...
Jin, W. et al Idaho National Laboratory
Apr 15, 2022
4 Resources
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4 Resources
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Deep Sedimentary Basin EGS Development
Stratigraphic reservoirs with high permeability and temperature at economically accessible depths are attractive for power generation because of their large areal extent (> 100 km2) compared to the fault controlled hydrothermal reservoirs (< 10 km2) found throughout much of the we...
Allis, R. and Moore, J. University of Utah
Jan 24, 2013
1 Resources
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1 Resources
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Ocean Thermal Energy Conversion (OTEC) Net Power (Annual Average)
This shapefile represents annual average net power estimates.
The OTEC Plant model predicts the net power production at a specific location, given three inputs: surface temperature (°C), depth (m), and difference between warm surface water temperature and cold deep sea water t...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Dynamic Earth Energy Storage: Terawatt-Year, Grid-Scale Energy Storage using Planet Earth as a Thermal Battery (GeoTES): Seedling Project Final Report
Grid-scale energy storage has been identified as a needed technology to support the continued build-out of intermittent renewable energy resources. As of April 2017, the U.S. had approximately 24.2 GW of energy storage on line, compared to 1,081 GW of installed generation capacity...
McLing, T. et al Idaho National Laboratory
May 31, 2019
11 Resources
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11 Resources
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Evaluation of the U.S. Department of Energy Challenge Home Program Certification of Production Builders Chicago, IL and Devens, MA
TO4 Task 3.1 K Hovnanian Chicago, IL
DOE Challenge Home Program Certified
Home Constructed and Verified
Specifications
DOE Challenge Home
Building envelope
Ceiling R-49 blown fiberglass, Grade I
Walls 2x4 framing @ 16 o.c. with R-13 fiberglass batts, Grade I
and 1"" R-5 extrude...
Loomis, H. and Kerrigan, P. Building Science Corporation
Apr 27, 2016
6 Resources
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6 Resources
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NREL GIS Data: Alaska Low Resolution Photovoltaic Solar Resource
_Abstract:_ Monthly and annual average solar resource potential for Alaska.
_Purpose:_ Provide information on the solar resource potential for Alaska. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, o...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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NREL GIS Data: Continental United States Photovoltaic Low Resolution
_Abstract:_ Monthly and annual average solar resource potential for the lower 48 states of the United States of America.
_Purpose:_ Provide information on the solar resource potential for the United States of America lower 48 states. The insolation values represent the averag...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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NREL GIS Data: Hawaii Low Resolution Photovoltaic Solar Resource
_Abstract:_ Monthly and annual average solar resource potential for Hawaii.
_Purpose:_ Provide information on the solar resource potential for Hawaii. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, o...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Hawaii Play Fairway Analysis Results
Probability grid of Hawaii Play Fairway Analysis results. This analysis was aimed at assessing the geothermal resource potential throughout Hawaii.
Lautze, N. University of Hawaii
Jan 01, 2015
3 Resources
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3 Resources
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Summary Fracturing of Coso Samples with StimuFrac
Lab-scale stimulation was performed on Coso samples obtained from a single core (1623 feet TVD, reservoir Coso CGC 18-27) using StimuFrac and control fluid in the absence of stimuli-responsive polymer.
Fernandez, C. Pacific Northwest National Laboratory
Sep 06, 2016
1 Resources
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1 Resources
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Petroleum Systems of the San Joaquin Basin Province: Geochemical Characteristics of Oil Types
The Crude Oil Analysis (COA) database contains the digital data compilation of 9,076 crude oil analyses from samples collected from 1920 through 1983 from the United States and around the world. The data is described in Chapter 9 of the USGS paper, *Petroleum Systems of the San Jo...
Hallett, K. and USGS, . National Renewable Energy Laboratory
Dec 04, 2007
2 Resources
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2 Resources
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Performance and Costs of Ductless Heat Pumps in Marine-Climate High-Performance Homes Habitat for Humanity The Woods
The Washington State University (WSU) Energy Program's Building America (BA) team conducted a case study of a high-performance affordable housing community: The Woods (Figure 1). This BA effort is part of a larger-scale study of 30 homes funded from 2013-2016 by Tacoma Public Util...
Lubliner, M. et al Washington State University
Apr 27, 2016
8 Resources
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8 Resources
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Brady's Field GPS RINEX Files 12-20-2014
CSV files with links to individual GPS RINEX files.
Kreemer, C. University of Nevada
Dec 20, 2014
4 Resources
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4 Resources
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