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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
0 Stars
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1 Resources
0 Stars
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LBNL Fault Detection and Diagnostics Datasets
These datasets can be used to evaluate and benchmark the performance accuracy of Fault Detection and Diagnostics (FDD) algorithms or tools. It contains operational data from simulation, laboratory experiments, and field measurements from real buildings for seven HVAC systems/equip...
Granderson, J. et al Lawrence Berkeley National Laboratory
Aug 01, 2022
5 Resources
0 Stars
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5 Resources
0 Stars
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Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR)
The objective of the DISCOVR consortia is to develop an integrated algae strain screening platform for the discovery of high-productivity and resilient strains of algae that can be cultivated outdoors year-round via crop rotation. The data includes annual weather data, algae culti...
Knoshaug, E. National Renewable Energy Laboratory (NREL)
Sep 01, 2016
12 Resources
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12 Resources
0 Stars
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Siler, D. et al United States Geological Survey
Oct 01, 2021
6 Resources
0 Stars
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6 Resources
0 Stars
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NREL Global Offshore Wind GIS Data
GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ).
Wind resource based on NOAA Blended Sea Winds and monthly wind speed at 30km resolution from 1987-2005, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average >= 10 months o...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
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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GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
Buster, G. et al Upflow
Jun 30, 2021
11 Resources
0 Stars
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11 Resources
0 Stars
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Form EIA-861, "Annual Electric Power Industry Report."
This is an electric utility data file that includes such information as peak
load, generation, electric purchases, sales, revenues, customer counts
and demand-side management programs, green pricing and net metering
programs, and distributed generation capacity. The data sou...
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
Final Report Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy on the Cornell Campus
The purpose of this document is to describe the contents contained within Geothermal Data Repository (GDR) node of the National Geothermal Data System (NGDS) that serves as the final report for the project "Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy...
Tester, J. et al Cornell University
Oct 27, 2019
6 Resources
0 Stars
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6 Resources
0 Stars
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EGS Collab: Modeling and Simulation Working Group Teleconference Series (1-98)
This submission contains the presentation slides and recordings from the first 98 EGS Collab Modeling and Simulation Working Group teleconferences. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field activities and resul...
White, M. et al Pacific Northwest National Laboratory
Feb 04, 2020
100 Resources
0 Stars
Publicly accessible
100 Resources
0 Stars
Publicly accessible
Appalachian Basin Temperature-Depth Maps and Structured Data in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy
This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West Virginia. This analysis provides an update to the temperature-at-depth maps provided in the...
Smith, J. Cornell University
Oct 29, 2019
6 Resources
0 Stars
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6 Resources
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Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy
This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs.
Jordan, T. et al Cornell University
Oct 27, 2019
27 Resources
0 Stars
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27 Resources
0 Stars
Publicly accessible
Research Report of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin
This is a final report summarizing a one-year (2014-15) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and...
Jordan, T. et al Cornell University
Sep 30, 2015
22 Resources
0 Stars
Publicly accessible
22 Resources
0 Stars
Publicly accessible