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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
0 Stars
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4 Resources
0 Stars
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Community Geothermal: Planning and Design of a Heating and Cooling System in Framingham, Massachusetts
These reports, plans, and drawings review the achievements of Home Energy Efficiency Team (HEET) and its partners to plan and design a network of interconnected ground-source heat pump systems, or geothermal network, in an area encompassing multiple environmental justice (EJ) neig...
Varela Gutierrez, I. et al Home Energy Efficiency Team (HEET)
Sep 01, 2024
6 Resources
0 Stars
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6 Resources
0 Stars
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Cornell Ithaca Campus heat use data for a model year
Hourly steam use data for all significant buildings from the fiscal year (FY) 2017 (1 July 2016 30 June 2017) are provided. The total annual campus heating load in FY 2017 was about 0.81 trillion Btu (283,000 MWth-hrs).
The data are presented as a spreadsheet, detailing on an ho...
Beyers, S. and Gustafson, J. Cornell University
Nov 13, 2019
2 Resources
0 Stars
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2 Resources
0 Stars
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Data Files for “The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure"
This data set includes modeling results from “The 2030 National Charging Network: Estimating U.S. Light-Duty Demand for Electric Vehicle Charging Infrastructure” including region-specific [i.e., national, state, and core-based statistical area (CBSA)—cities/towns] electric v...
Wood and BorlaugNational Renewable Energy Laboratory
Apr 26, 2023
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
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INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...
Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)
May 04, 2021
8 Resources
0 Stars
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8 Resources
0 Stars
Publicly accessible
Foam Fracturing Study for Stimulation Development of Enhanced Geothermal Systems
This is a final technical report for the project: Foam Fracturing Study for Stimulation Development of Enhanced Geothermal Systems (EGS). The goal is to demonstrate the feasibility of foam fracturing in EGS applications. The project, led by Oak Ridge National Laboratory (ORNL), wa...
Wang, H. et al Oak Ridge National Laboratory
May 17, 2022
3 Resources
0 Stars
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3 Resources
0 Stars
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Utah FORGE: Well 16A(78)-32 Drilling Data
This dataset includes survey data, drilling data, daily reports, summaries of daily operations, and rig photos from the drilling of Utah FORGE well 16A(78)-32, which is a highly deviated deep well. It was completed 60 days ahead of schedule.
Rig move in began 10/22/2020 and dril...
McLennan, J. et al Energy and Geoscience Institute at the University of Utah
Jan 08, 2021
15 Resources
0 Stars
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15 Resources
0 Stars
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Wave Energy Prize 1/20th Testing SEWEC Attenuator
Data from the 1/20th scale testing data completed on the Wave Energy Prize for the SEWEC team, including the 1/20th scale test plan, raw test data, video, photos, and data analysis results.
The top level objective of the 1/20th scale device testing is to obtain the necessary meas...
Scharmen, W. Ricardo Detroit Technical Center
Oct 07, 2016
33 Resources
0 Stars
Publicly accessible
33 Resources
0 Stars
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Aquantis 2.5 MW Ocean Current Generation Device Design Details
Items in this submission provide the detailed design of the Aquantis Ocean Current Turbine and accompanying analysis documents, including preliminary designs, verification of design reports, CAD drawings of the hydrostatic drivetrain, a test plan and an operating conditions simula...
Banko, R. et al Dehlsen Associates, LLC
Jun 03, 2015
22 Resources
0 Stars
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22 Resources
0 Stars
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
0 Stars
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6 Resources
0 Stars
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