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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
1 Resources
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Form EIA-906, EIA-920, and EIA-923 Databases

The EIA-906, EIA-920, EIA-923 and predecessor forms provide monthly and annual data on generation and fuel consumption at the power plant and prime mover level. A subset of plants, steam-electric plants 10 MW and above, also provides boiler level and ge...

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

Nov 25, 2014
5 Resources
0 Stars
In curation

Renewable Energy Potential Model: Geothermal Supply Curves

The Renewable Energy Potential (reV) model is a geospatial platform for estimating technical potential and developing renewable energy supply curves, initially developed for wind and solar technologies. The model evaluates deployment constraints, considering land use, environmenta...

Trainor-Guitton, W. et al National Renewable Energy Laboratory

Aug 21, 2023
3 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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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
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GeoVision Barriers Taskforce

This submission includes papers, presentations, and data developed during the multi-year GeoVision Barriers Taskforce effort. Developers have identified many non-technical barriers to geothermal power development, including land access, permitting, and market barriers. Included i...

Young, K. and Levine, A. National Renewable Energy Laboratory

Sep 30, 2015
5 Resources
0 Stars
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Energy Appliance Data 2009-2010

Datasets for residential appliances energy usage/efficiency. The Federal Trade Commission (FTC) collects manufacturer data about the energy use and efficiency of appliances. All of the data was submitted by manufacturers under the FTC's Appliance Labeling Rule (see "FTC Appliance ...

Trade Commission, F. National Renewable Energy Laboratory

Jul 29, 2014
19 Resources
0 Stars
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Commercial and Residential Hourly Load Profiles for all TMY3 Locations in the United States

Note: This dataset has been superseded by the dataset found at "End-Use Load Profiles for the U.S. Building Stock" (submission 4520; linked in the submission resources), which is a comprehensive and validated representation of hourly load profiles in the U.S. commercial and reside...

Ong, S. and Clark, N. National Renewable Energy Laboratory

Nov 25, 2014
22 Resources
1 Stars
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MMH

U.S. Patent # 8535493 B2 has some not obvious but remarkable features. The "MMH” is a generator that depends on the numbers (ratio) of included anodes versus cathodes and can produce between 50% to 90% (and more) pure hydrogen gas. To achieve such remarkable performance we are p...

Kasprzak, A. National Renewable Energy Laboratory

Apr 28, 2017
3 Resources
0 Stars
In curation

Randomized Hourly Load Data for use with Taxonomy Distribution Feeders

This dataset was developed by NREL's distributed energy systems integration group as part of a study on high penetrations of distributed solar PV [1]. It consists of hourly load data in CSV format for use with the PNNL taxonomy of distribution feeders [2]. These feeders were deve...

Hoke, A. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
1 Stars
In curation

Air Pollutant Emissions Inventory of Large-Scale Production of Selected Biofuels Feedstocks in 2022 supporting data

Data provided are numeric results used to plot the maps/figures presented in the paper “Air Pollutant Emissions Inventory of Large-Scale Production of Selected Biofuels Feedstocks in 2022” ([DOI: 10.1002/bbb.1620](http://onlinelibrary.wiley.com/doi/10.1002/bbb.1620/full)). ...

Zhang, Y. National Renewable Energy Laboratory

Oct 05, 2015
13 Resources
0 Stars
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Alternative CAES Technology Using Depleted Unconventional Gas Wells and Subsurface Thermal Energy Storage (GeoCAES)

This project assessed the technical viability of a process called GeoCAES. The process stores electrical energy by injecting natural gas into shale gas formations using a compressor, storing it, and producing it through an expander to generate electricity. This data submission inc...

Johnston, H. and Young, D. National Renewable Energy Laboratory

May 23, 2019
8 Resources
0 Stars
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AASG Wells Data for the EGS Test Site Planning and Analysis Task

AASG Wells Data for the EGS Test Site Planning and Analysis Task Temperature measurement data obtained from boreholes for the Association of American State Geologists (AASG) geothermal data project. Typically bottomhole temperatures are recorded from log headers, and this informat...

Augustine, C. National Renewable Energy Laboratory

Oct 09, 2013
1 Resources
0 Stars
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Evaluation of the Performance of Houses With and Without Supplemental Dehumidification in a Hot-Humid Climate

Understanding indoor humidity conditions in low energy homes in hot-humid climates is critical to promoting long term occupant comfort, indoor air quality and building durability. The results of this study were expected to inform the residential building community on whether suppl...

Kerrigan, P. and Norton, P. National Renewable Energy Laboratory

Apr 27, 2016
7 Resources
0 Stars
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Admiralty Inlet Advanced Turbulence Measurements: May 2015

This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in May of 2015. The measurements were made using Inertial Motion Unit (IMU) equipped ADVs mounted on a 'StableMoor' (Manufacturer: DeepWater Buoyancy) buoy and a Tidal Turbulence Mooring (TTM). Thes...

Kilcher, L. National Renewable Energy Laboratory

May 18, 2015
18 Resources
0 Stars
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Crude Oil Analysis (COA) database

The Crude Oil Analysis (COA) database contains the digital data compilation of 9,076 crude oil analyses from samples collected from 1920 through 1983 from the United States and around the world and analyzed by the United States Bureau of Mines (National Institute for Petroleum and...

Lillis, P. and DOE, N. National Renewable Energy Laboratory

May 29, 2019
2 Resources
0 Stars
In curation

Summary World Oil Data (from World on the Edge)

This dataset presents summary information related to world oil. It is part of a supporting dataset for the book World On the Edge: How to Prevent Environmental and Economic Collapse by Lester R. Brown, available from the [Earth Policy Institute](http://www.earth-policy.org/ "Earth...

Hallett, K. and Institute, E. National Renewable Energy Laboratory

Jan 11, 2011
2 Resources
0 Stars
In curation

Admiralty Inlet Advanced Turbulence Measurements: June 2014

This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in June of 2014. The measurements were made using Inertial Motion Unit (IMU) equipped ADVs mounted on Tidal Turbulence Mooring's (TTMs). The TTM positions the ADV head above the seafloor to make mid...

Kilcher, L. National Renewable Energy Laboratory

Jun 30, 2014
26 Resources
0 Stars
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Demand-Side Grid (dsgrid) TEMPO Light-Duty Vehicle Charging Profiles v2022

Simulated hourly electric vehicle charging profiles for light-duty household passenger vehicles in the contiguous United States, 2018-2050. Profiles are differentiated by scenario, county, household and vehicle types, and charging type. Data was produced in 2022 using the Transpor...

Yip, A. et al National Renewable Energy Laboratory

Aug 29, 2023
8 Resources
0 Stars
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Solar Home System Jharkhand India

Script in MATLAB and data sets in .csv for over 6 months of minute-by-minute resolution of household level energy consumption based off of three solar home systems with lights and a fan installed in Jharkhand, India. The files herein include original spreadsheets with the raw dat...

Mehra, V. National Renewable Energy Laboratory

Aug 09, 2016
1 Resources
0 Stars
In curation

Tidal Energy Resource Characterization, Bottom Lander Measurements, Cook Inlet, AK, 2021

These datasets are from tidal resource characterization measurements collected on the Terrasond High Energy Oceanographic Mooring (THEOM) from 1 July 2021 to 30 August 2021 (60 days) in Cook Inlet, Alaska. The lander was deployed at 60.7207031 N, 151.4294998 W in ~50 m of water. ...

Kilcher, L. and McVey, J. National Renewable Energy Laboratory

Jul 01, 2021
25 Resources
0 Stars
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WaterTAP3 Model Results for NAWI's Baseline Analyses

This dataset contains the results for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) baseline studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities for Water Treatm...

Miara, A. et al National Renewable Energy Laboratory

Feb 01, 2022
10 Resources
0 Stars
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Powder River Basin (WY, MT) Coal and Coalbed Methane: Evaluating and Revising 100 Years of Studies

The USGS published a USGS Professional Paper in 2010 entitled *After a century: Revised paleogene coal stratigraphy, correlation, and deposition, Powder River Basin, Wyoming and Montana*, (available: http://pubs.usgs.gov/pp/1777/). Information about the coal resources in this Powd...

Hallett, K. and USGS, . National Renewable Energy Laboratory

Sep 28, 2010
2 Resources
0 Stars
In curation

DEEPEN Global Standardized Categorical Exploration Datasets for Magmatic Plays

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be develop...