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Geothermal Life Cycle Calculator

This calculator is a handy tool for interested parties to estimate two key life cycle metrics, fossil energy consumption (Etot) and greenhouse gas emission (ghgtot) ratios, for geothermal electric power production. It is based solely on data developed by Argonne National Laborator...

Sullivan, J. Argonne National Laboratory

Mar 11, 2014
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Utah FORGE: Site Earthquake Animation

This is a .kml earthquake animation covering the period of 1991 2011 for the Utah Milford FORGE site. It displays seismic events using different sized bubbles according to magnitude. It covers the general Utah FORGE area (large shaded rectangle) with the final site displayed as a ...

Moore, J. Energy and Geoscience Institute at the University of Utah

Mar 13, 2016
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Transported Geothermal Energy Technoeconomic Screening Tool Calculation Engine

This calculation engine estimates technoeconomic feasibility for transported geothermal energy projects. The TGE screening tool (geotool.exe) takes input from input file (input.txt), and list results into output file (output.txt). Both the input and ouput files are in the same f...

Liu, X. Oak Ridge National Laboratory

Sep 21, 2016
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Tularosa Basin Play Fairway Analysis: Raw MT Data for the McGregor Range, Fort Bliss, New Mexico

This is a zipped file containing raw magnetotelluric (MT) data collected as part of the Phase 2 Tularosa Basin geothermal play fairway analysis project in New Mexico. The data for each MT station are in standard .edi text files which are accompanied by graphic files illustrating d...

Nash, G. Energy and Geoscience Institute at the University of Utah

Jan 01, 2017
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Utah FORGE: Observation Well Data

This archive contains temperature data for Roosevelt Hot Springs observation wells OH-1, OH-4, OH-5 and OH-7. There are also mud logs for OH-4. These are old datasets obtained from Rocky Mountain Power for use in the Utah FORGE project. Temperature data were collected in the 1970s...

Nash, G. Energy and Geoscience Institute at the University of Utah

Feb 22, 2018
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Utah FORGE: Milford Deep Test Well 58-32 (MU-ESW1) Pressure and Temperature Logs

This archive consists of a pdf graphic log and a LAS text file representing the results of the pressure and temperature logs measured on Nov. 8th, 2018 from the Utah FORGE deep test well 58-32 (MU-ESW1). The logs were taken by DI Drill Survey Services.

Moore, J. Energy and Geoscience Institute at the University of Utah

Nov 08, 2018
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ALFA Discrete Element Method (DEM) Simulations using PFC3D

Contains input scripts, background information, reduced data, and results associated with the discrete element method (DEM) simulations of interface shear tests, plate anchor pullout tests, and torpedo anchor installation and pullout tests, using the software PFC3D (v4.0).

Evans, M. Northwest National Marine Renewable Energy Center

Jan 05, 2016
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M3 Wave DMP/APEX WEC 1:10 Scale Preliminary Tank Test Plan

This is a preliminary test plan for testing of the Delos-Reyes Morrow Pressure Device (DMP), commercialized by M3 Wave LLC as "APEX," at Hinsdale Wave Research Laboratory at Oregon State University. Additional logistical details and instrumentation specifics will be added as engi...

Delos-Reyes, M. and Morrow, M. M3 Wave

Feb 23, 2017
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M3 Wave DMP/APEX WEC Projected LCOE

Projected LCOE model for the Delos-Reyes Morrow Pressure Device (DMP), commercialized by M3 Wave LLC as "APEX," based on information gained during project performance.

Morrow, M. and Delos-Reyes, M. M3 Wave

Aug 01, 2018
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Utah FORGE: Well 16A(78)-32: Summary of Drilling Activities

This is a 74 page detailed summary of the drilling activities of Utah FORGE 16A(78)-32, a highly deviated well completed on February 2nd, 2021, as part of the Utah FORGE project. This well was deviated at 65 degrees from vertical after reaching 6000 feet in depth had a total measu...

Winkler, D. et al Energy and Geoscience Institute at the University of Utah

Mar 20, 2021
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Community Solar Project Database

This database represents a list of community solar projects identified through various sources as of Spring 2018. The list has been reviewed but errors may exist and the list may not be comprehensive. Errors in the souces e.g. press releases may be duplicated in the list. Blank sp...

O'Shaughnessy, . et al National Renewable Energy Laboratory

Jul 27, 2018
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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
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Utility Outage Information

Data about power company service areas and their announcements about outages are critical for the effective coordination of resources after disasters, and also for building community and neighborhood resilience. As part of the 2015 White House Mapathon, the Department of Energy's...

Weers, J. and Laboratory, N. National Renewable Energy Laboratory

Aug 28, 2015
4 Resources
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In curation

Wave Energy Prize 1/50th Testing M3 Wave Submerged Mid-Column Pressure Differential WEC

This submission of data includes all the 1/50th scale testing data completed on the Wave Energy Prize for the M3 Wave team, and includes: 1/50th test data (raw & processed) 1/50th test data video and pictures 1/50th Test plans and testing documents SSTF_Submission (summarized ...

Scharmen, W. Ricardo Detroit Technical Center

Jan 08, 2016
10 Resources
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Utility-Scale Solar, 2022 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)

Berkeley Labs "Utility-Scale Solar", 2022 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developm...

Seel, J. et al Lawrence Berkeley National Lab

Sep 20, 2022
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Rooftop Photovoltaic Technical Potential in the United States

This data submission contains a workbook with data, and three sets of shapefiles that correspond to that data. Contact: Meghan Mooney, Meghan.Mooney@nrel.gov The workbook contains data that underlies the 2016 technical report Rooftop Solar Photovoltaic Technical Potential in ...

Gagnon, . et al National Renewable Energy Laboratory

Nov 05, 2019
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DEPRECATED Sharing the Sun Community Solar Project Data (June 2022)

This data set is no longer current – The most current data and all historical data sets can be found at https://data.nrel.gov/submissions/244 This database represents a list of community solar projects identified through various sources as of June 2022. The list has been rev...

Chan, . et al National Renewable Energy Laboratory

Nov 30, 2022
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Alaskas Rural Power Systems Upgrade Program Project Locations

This data contains locations of the projects maintained by the Rural Power Systems Upgrade Program. Over 350 locations are included in the dataset, including those projects in remote villages and communities throughout the state of Alaska. The location data provides a means by whi...

Hallett, K. and (AEDI), A. National Renewable Energy Laboratory

Dec 30, 2009
2 Resources
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In curation

Utah FORGE: Geologic, Topographic, and Other Related Maps and GIS Data from the Earth Model

This submission contains a number of maps and shapefiles related to the Utah FORGE site. Examples include geologic maps (several variations) and GIS data for the Utah FORGE site outline. All data are georeferenced to UTM, zone 12N, NAD 83, NAVD 88.

Podgorney, R. et al Idaho National Laboratory

Dec 07, 2018
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Utah FORGE: 3D Gravity Data

These resources describe the 3D geophysical inversion modeling of gravity data at the FORGE site near Milford, Utah. FORGE is the Frontier Observatory for Research in Geothermal Energy and the site in Utah has been selected by the U.S. Dept. of Energy for a 5-year R&D program to t...

Hardwick, C. and Witter, J. Energy and Geoscience Institute at the University of Utah

Jun 24, 2019
2 Resources
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2019 Geothermal Market Report Fact Sheet

The 2020 U.S. Geothermal Power Production and District Heating Market Report is being developed by the National Renewable Energy Laboratory and Geothermal Rising, previously Geothermal Resources Council (GRC), with support from the Geothermal Technologies Office of the U.S. Depart...

Robins, J. et al National Renewable Energy Laboratory

Oct 01, 2020
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Lancaster County Career and Technology Center (LCCTC) Green Homes

With the support of the U.S. Department of Energy (DOE) Building America Program, Home Innovation Research Labs partnered with Lancaster County Career and Technology Center (LCCTC) to build a third new construction test house (NCTH) in Apprentice Green, a community next to the sch...

Kochkin, V. et al Home Innovation Research Labs National Association of Home Builders

Apr 27, 2016
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National Marine Renewable Energy Center Upgrades LUPA

The data provided is part of a power take off damping optimization study. The power take off damping coefficient was swept from 0 to approximately 7000 N/m/s during a single regular wave test with a real time control of the motor/generator. The generated power from the LUPA (Lab U...

Robertson, B. et al Oregon State University

Oct 12, 2022
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CalWave WEC Open Water Demonstration Public Final Test Report

The objective of this project is to advance the Technology Readiness Level of the x1 Wave Energy Converter (WEC) developed by CalWave Power Technologies Inc. through advanced numerical simulations, dynamic hardware tests, and ultimately a scaled open water demonstration deployment...

Boerner, T. et al CalWave Power Technologies Inc.

Nov 30, 2022
2 Resources
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Ridgelines: Department of Interior Definition

This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base."...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
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