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2022 Annual Technology Baseline (ATB) Cost and Performance Data for Transportation Technologies
The 2022 Transportation Annual Technology Baseline (ATB) provides detailed cost and performance data, estimates, and assumptions for vehicle and fuel technologies in the United States. It includes current and projected estimates: time-series through 2050 for light, medium, and hea...
Vimmerstedt, L. et al National Renewable Energy Laboratory (NREL)
Nov 17, 2023
4 Resources
0 Stars
Curated
4 Resources
0 Stars
Curated
Fracture Sustainability Test, Pre and Post-Test Photomicrographs
The primary objective of this research is to understand how different rock types, mineral and fluid compositions, and fracture surface textures determine the longevity of fracture apertures, so that selection of reservoir rock can be economically optimized to reduce future refract...
Dobson, P. et al Lawrence Berkeley National Laboratory
Sep 26, 2016
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
Maui LiDAR
Light Detection and Ranging (LiDAR) data for the Maui study area in South Maui, collected by Watershed Sciences, Inc. (WS) on October 29th, 2011 and from November 7th, 2011 to November 10th, 2011.
Akerley, J. Ormat Nevada Inc
Nov 10, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
Utah FORGE: Well 78B-32 Core Sample Petrographic Analysis Data
This dataset contains an overview of the petrographic, X-ray Diffraction and scanning electron microscopy analyses of core samples from Utah FORGE Well 78B-32 and related data as described in the .zip folder's Description below.
Jones, C. Energy and Geoscience Institute at the University of Utah
Feb 21, 2023
1 Resources
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Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible