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Life Cycle Emissions Factors for Electricity Generation Technologies

This dataset consists of a table containing the distribution of literature estimates of greenhouse gas emissions for the following electricity generation and storage technologies: biopower, coal, concentrating solar power, geothermal, hydrogen storage, hydropower, lithium-ion batt...

Nicholson and HeathNational Renewable Energy Laboratory

Aug 23, 2021
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Microbial Taxa Distribution Data From 16S rRNA Analysis Of Desalination Operations At Carlsbad, CA And Tampa Bay, FL

This data set list the distribution of microbial taxa from three sets of sampling campaigns from unit operations in two large desalination facilities in the US conducted between March and May 2021. The desalination plants include the Claude "Bud" Lewis Carlsbad Desalination Plant ...

Kumar, M. et al University of Texas

Sep 24, 2021
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PNNL Laser Disdrometer #1 pre-campaign / Raw Data

**Overview** The Parsivel2 Laser Disdrometers provide accurate measurements of precipitation, hail and snow. They also provide droplet size distributions.

Krishnamurthy, R. Wind Energy Technologies Office (WETO)

Dec 21, 2021
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PNNL Parsivel2 Laser Disdrometer #2 pre-campaign / Raw Data

**Overview** The Parsivel2 Laser Disdrometers provide accurate measurements of precipitation, hail and snow. They also provide droplet size distributions.

Krishnamurthy, R. Wind Energy Technologies Office (WETO)

Dec 26, 2021
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Magnetotelluric Data Collected in 2016 over the San Emidio Geothermal Field in Nevada

This data set includes the magnetotelluric (MT) data collected from October 21 to November 9, 2016 over the San Emidio geothermal field in Nevada by Quantec Geoscience USA Inc. on behalf of US Geothermal Inc. as part of a project entitled "A Novel Approach to Map Permeability Usi...

Folsom, M. et al Ormat Technologies, Inc.

Nov 09, 2016
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Modeled Hourly Tidal Current Velocities, Directions, and Heights from May 1 September 1, 2005 at Two Points Near East Forelands and Tyonek in Cook Inlet, Alaska

This dataset includes modeled tidal current velocities, direction and depth at two locations in East and North Forelands (60.716, 151.434 and 61.024, 151.157) near Nikiski and Tyonek, respectively, in Cook Inlet, Alaska. Data from two grid cells were provided by the Pacific Northw...

Bond, B. et al University of Alaska Fairbanks

Oct 05, 2022
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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
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Error-Level-Controlled Synthetic Forecasts for Renewable Generation

Renewable energy resources, including solar and wind energy, play a significant role in sustainable energy systems. However, the inherent uncertainty and intermittency of renewable generation pose challenges to the safe and efficient operation of power systems. Recognizing the imp...

Zhang, X. et al National Renewable Energy Laboratory (NREL)

Jun 01, 2021
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NREL Power Technologies Energy Data Book (2006) : U.S. Electricity Generation

The National Renewable Energy Laboratory (NREL) publishes a wide selection of data and statistics on energy power technologies from a variety of sources (e.g. EIA, Oak Ridge National Laboratory, Sandia National Laboratory, EPRI and AWEA). In 2006, NREL published the 4th edition, p...

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

Nov 25, 2014
2 Resources
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Drilling Monitoring Program: Computer Program on Heat Transfer Temperature Distribution Hydraulic Calculations for Abrasive Jet Drilling

A program was created to evaluate the downhole conditions occurring in a FLASH ASJ drilling system. the program is meant to aid the operator of a coiled tubing rig in maintaining optimum drilling conditions.

Ozbayoglu, E. Impact Technologies LLC

Jan 01, 2011
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BUTTER Empirical Deep Learning Dataset

The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...

Tripp, C. et al National Renewable Energy Laboratory

May 20, 2022
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Thermostatic Radiator Valve Evaluation and Demonstration

A large stock of multifamily buildings in the Northeast and Midwest uses hot water or steam for space heating. Typically, residents do not pay for heat directly (i.e., heating fuel serves a central plant and use is not submetered). Losses from these systems are typically high, and...

Dentz, J. and Ansanelli, E. The Levy Partnership, Inc Systems Building Research Alliance

Apr 27, 2016
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Measured Performance of a Varied Airflow Small-Diameter Duct System

In this study, researchers with the U.S. Department of Energy's Building America team IBACOS built on research previously done in two new-construction unoccupied test houses-one in Pittsburgh, Pennsylvania (Poerschke and Stecher 2014) and one in Fresno, California (Stecher and Poe...

Poerschke, A. Ibacos Innovation

Apr 27, 2016
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McGee Mountain Transmission Interconnection Feasibility Study

This 2010 study by ZGlobal, Inc. examines possible transmission interconnect opportunities, issues, customers,etc., for the McGee Mountain geothermal system. McGee Mountain is located in T45N, R27E in Humboldt County, northern Nevada. PDF Format, 833 kb file size. Geothermal Techn...

Zehner, R. Geothermal Technical Partners, Inc.

Jun 01, 2010
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Simplified Space Conditioning in Low-Load Homes

TO3 2.1.6: Simplified Space Conditioning IBACOS anticipates that houses achieving 50% whole-house source energy savings with respect to the Building America 2010 Benchmark (Hendron and Engebrecht 2010a) will be considered "low load." Low load is defined by IBACOS as a house with ...

Poerschke, A. and Stecher, D. Ibacos Innovation

Apr 27, 2016
2 Resources
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Deep Direct-Use Feasibility Study Energy Demand Characterization and Surface Plant Modeling for West Virginia University

This dataset provides information gathered to determine end use load and assessment of existing district heating systems (DHS). It also provides Aspen simulation files used to model hybrid natural gas geothermal district heating and cooling (GDHC) system along with Exchange Design...

Garapati, N. West Virginia University

Jan 09, 2020
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Ground Source Heat Pump Parameter Survey

The purpose of this report is to investigate the effects of various parameters in a horizontal loop geothermal heat pump system. The obtained values include the temperature distribution over the entire system as well as the exiting temperature and bulk heat rate of the fluid. The ...

Gray, E. Wright State University

Jul 31, 2013
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City and County Commercial Building Inventories

The Commercial Building Inventories provide modeled data on commercial building type, vintage, and area for each U.S. city and county. Please note this data is modeled and more precise data may be available through county assessors or other sources. Commercial building stock data ...

Day, M. et al National Renewable Energy Laboratory

Apr 01, 2020
9 Resources
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Evaluation of the U.S. Department of Energy Challenge Home Program Certification of Production Builders Chicago, IL and Devens, MA

TO4 Task 3.1 K Hovnanian Chicago, IL DOE Challenge Home Program Certified Home Constructed and Verified Specifications DOE Challenge Home Building envelope Ceiling R-49 blown fiberglass, Grade I Walls 2x4 framing @ 16 o.c. with R-13 fiberglass batts, Grade I and 1"" R-5 extrude...

Loomis, H. and Kerrigan, P. Building Science Corporation

Apr 27, 2016
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NREL Power Technologies Energy Data Book (2006) : U.S. Electricity Capability

The National Renewable Energy Laboratory (NREL) publishes a wide selection of data and statistics on energy power technologies from a variety of sources (e.g. Energy Information Administration, Oak Ridge National Laboratory, Sandia National Laboratory, and EPRI). In 2006, NREL pub...

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

Nov 25, 2014
2 Resources
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Numerical Modeling for Hydraulic Fracture Prediction

Numerical modeling on fused silica cylindrical materials for predicting overpressures required to fracture an homogeneous pure (surrogate) material with known mechanical properties similar to igneous rock materials and later compare these values to experimental overpressures obtai...

Gupta, V. Pacific Northwest National Laboratory

Apr 26, 2016
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BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset

The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...

Tripp, C. et al National Renewable Energy Laboratory

Dec 30, 2022
9 Resources
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Solar Energy: Bans or Moratoriums (2022)

This dataset identifies counties and municipalities that had a solar energy ban or moratorium as of April 2022. A TIF data file and a PNG map of the data are provided, showing areas where solar energy bans or moratoriums exist across the contiguous United States. For further deta...

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

Jan 01, 2024
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Global Energy & Mining Data, World Bank (1970 2007)

Alternative and Nuclear Energy: Percentage of Total Energy Use Combustible Renewables and Waste: Metric Tons of Oil Equivalent Combustible Renewable and Waste: Percentage of Total Energy Electric Power Consumption Electric Power Transmission and Distribution Losses Electric Power ...

Brodt-Giles, D. and Bank, W. National Renewable Energy Laboratory

Oct 12, 2013
4 Resources
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Sample IEEE123 Bus system for OEDI SI

Time series load and PV data from an IEEE123 bus system. An example electrical system, named the OEDI SI feeder, is used to test the workflow in a co-simulation. The system used is the IEEE123 test system, which is a well studied test system (see link below to IEEE PES Test Feeder...

Elgindy, T. and Balasubramaniam, K. National Renewable Energy Laboratory

Sep 01, 2022
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