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3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA

In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydr...

Siler, D. and Pepin, J. United States Geological Survey

Oct 01, 2021
4 Resources
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Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

The files included in this submission contain all data pertinent to the methods and results of this task's output, which is a cohesive multi-state map of all known potential geothermal reservoirs in our region, ranked by their potential favorability. Favorability is quantified usi...

Jordan, T. and Camp, E. Cornell University

Oct 22, 2015
9 Resources
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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
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Commercial Reference Building: Hospital

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Hospital" for each of the 16 climate zones ...

Deru, M. et al National Renewable Energy Laboratory

Nov 25, 2014
8 Resources
0 Stars
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Commercial Reference Building: Outpatient Health Care

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Outpatient Health Care" for each of the 16 ...

Deru, M. et al National Renewable Energy Laboratory

Nov 25, 2014
8 Resources
0 Stars
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Commercial Reference Building: Quick Service Restaurant

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Quick Service Restaurant" for each of the 1...

Deru, M. et al National Renewable Energy Laboratory

Nov 25, 2014
8 Resources
0 Stars
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Commercial Reference Building: Large Hotel

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Large Hotel" for each of the 16 climate zon...

Deru, M. et al National Renewable Energy Laboratory

Nov 25, 2014
8 Resources
0 Stars
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Commercial Reference Building: Large Office

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Large Office" for each of the 16 climate zo...

Deru, M. et al National Renewable Energy Laboratory

Nov 25, 2014
8 Resources
0 Stars
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Commercial Reference Building: Stand-alone Retail

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Stand-alone Retail" for each of the 16 clim...

Deru, M. et al National Renewable Energy Laboratory

Nov 25, 2014
8 Resources
0 Stars
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Commercial Reference Building: Full Service Restaurant

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Full Service Restaurant" for each of the 16...

Deru, M. et al National Renewable Energy Laboratory

Nov 25, 2014
8 Resources
0 Stars
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Commercial Reference Building: Medium Office

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Medium Office" for each of the 16 climate z...

Deru, M. et al National Renewable Energy Laboratory

Nov 25, 2014
8 Resources
0 Stars
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Commercial Reference Building: Small Hotel

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Small Hotel" for each of the 16 climate zon...

Deru, M. et al National Renewable Energy Laboratory

Nov 25, 2014
8 Resources
0 Stars
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Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)

This data set contains the full-resolution and state-level data described in the linked technical report (https://www.nrel.gov/docs/fy18osti/71492.pdf). It can be accessed with the NREL-dsgrid-legacy-efs-api, available on GitHub at https://github.com/dsgrid/dsgrid-legacy-efs-api a...

Hale, E. et al National Renewable Energy Laboratory

Jul 08, 2018
6 Resources
0 Stars
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Tidal Resource Data from Sequim Bay Inlet, WA, August 2020

Data from a Nortek Signature1000 deployed on a lander for 14 days in Aug 2020 in the entrance to Sequim Bay, WA. Raw data were processed using the DOLfYN python package and standardized using the ME Data Pipeline python package, tsdat version 0.2.12. Processed data were partitione...

McVey, J. and Cavagnaro, R. Pacific Northwest National Laboratory

Aug 13, 2020
17 Resources
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Brady's Geothermal Field March 2016 Vibroseis SEG-Y Files and UTM Locations

PoroTomo March 2016 Updated vibroseis source locations with UTM locations. Supersedes gdr.openei.org/submissions/824. Updated vibroseis source location data for Stages 1-4, PoroTomo March 2016. This revision includes source point locations in UTM format (meters) for all four Stage...

Feigl, K. University of Wisconsin

Mar 31, 2016
10 Resources
0 Stars
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Improvements in 2016 to Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

*These files add to and replace same-named files found within Submission 559 (hover over file display names to see actual file names in bottom-left corner of screen)* The files included in this submission contain all data pertinent to the methods and results of a cohesive multi-st...

Camp, E. Cornell University

Aug 18, 2016
16 Resources
0 Stars
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Version 2 Tidal Energy Resource Characterization, Velocity and Turbulence Measurements, Cook Inlet, AK, 2021

Version 2 of MHKDR submission #475, which also contains the metadata for these measurements. Files here are stored in netCDF4 format, which can be read in Python using the "netcdf4" or "xarray" packages or in MATLAB using the "ncread()" function. Changes are as follows: MWM1 (mi...

Kilcher, L. and McVey, J. Pacific Northwest National Laboratory

Jul 01, 2021
9 Resources
0 Stars
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Appalachian Basin Play Fairway Analysis: Thermal Quality Analysis in Low-Temperature Geothermal Play Fairway Analysis (GPFA-AB)

This collection of files are part of a larger dataset uploaded in support of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB). Phase 1 of the GPFA-AB project identified potential Geothermal Play Fairways within the Appalachian basin of Pennsylva...

E., T. Cornell University

Nov 15, 2015
50 Resources
0 Stars
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DEEPEN 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. Part of the DEEPEN project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical...

Taverna, N. et al National Renewable Energy Laboratory

Jun 30, 2023
27 Resources
0 Stars
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Unified Field Study 5 (UFS-5)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the fifth Unified Field Study (UFS-5), performed Decemb...

Wolfrum, E. et al National Renewable Energy Laboratory

Sep 27, 2016
24 Resources
0 Stars
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Unified Field Study 3 (UFS-3)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the third Unified Field Study (UFS-3), performed June t...

Wolfrum, E. et al National Renewable Energy Laboratory

Sep 29, 2016
24 Resources
0 Stars
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Unified Field Study 4 (UFS-4)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the fourth Unified Field Study (UFS-4), performed Septe...

Wolfrum, E. et al National Renewable Energy Laboratory

Sep 27, 2016
24 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
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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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DASH Slow Strain Rates from Brady Hot Springs Geothermal Field during PoroTomo Deployment Period

This submission contains slow strain rates summed to radians over 30 second intervals [rad/s] derived from horizontal distributed acoustic sensing measurements (DASH) of Brady geothermal field during PoroTomo deployment (2016-Mar-14 to 2016-Mar-26). There is one file correspondin...

Reinisch, E. et al University of Wisconsin

Jun 27, 2018
20 Resources
0 Stars
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