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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
0 Stars
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12 Resources
0 Stars
Publicly accessible
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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Dynamically Downscaled Hourly Future Weather Data with 12-km Resolution Covering Most of North America
This is an hourly future weather dataset for energy modeling applications. The dataset is primarily based on the output of a regional climate model (RCM), i.e., the Weather Research and Forecasting (WRF) model version 3.3.1. The WRF simulations are driven by the output of a genera...
Zeng, Z. et al Argonne National Laboratory
Oct 03, 2023
8 Resources
0 Stars
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8 Resources
0 Stars
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Utah FORGE: Groundwater Data
This submission includes two modeled drawdown scenarios with new supply well locations, a total dissolved solids (TDS) concentration grid (raster dataset representing the spatial distribution of TDS), and an excel spreadsheet containing well data.
Moore, J. Energy and Geoscience Institute at the University of Utah
Jul 20, 2016
5 Resources
0 Stars
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5 Resources
0 Stars
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Geothermal Electricity Technology Evaluation Model (GETEM) Individual Case Files and Summary Spreadsheet (GETEM version Spring 2013)
This group of files includes 10 GETEM individual scenario files and 1 summary spreadsheet. Each spreadsheet contains final data (following the revisions made between summer of 2011 and spring of 2013).
Entingh, D. et al Idaho National Laboratory
Mar 07, 2013
11 Resources
0 Stars
Publicly accessible
11 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
Publicly accessible
11 Resources
0 Stars
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United States Offshore Wind Supply Curves 2024
This data packet contains supply curves, hourly generation profiles, and composite siting exclusion TIFFs for offshore wind (OSW) in the waters of the EEZ off the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), level...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
15 Resources
0 Stars
Publicly accessible
15 Resources
0 Stars
Publicly accessible
Average and Marginal Capacity Credits of Renewable Energy and Battery Storage in the United States Power System
This dataset contains capacity credit values of solar PV, onshore and offshore wind, and 4-hour and 8-hour battery storage at the ReEDS' BA region resolution. The dataset is an output of the 2023 Standard Scenarios, generated using the Regional Energy Deployment System (ReEDS) model.
Pham. . et al Accelerated Deployment and Decision Support Center
Oct 14, 2024
106 Resources
0 Stars
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106 Resources
0 Stars
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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