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Long-run Marginal Emission Rates for Electricity Workbooks for 2022 Cambium Data

These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. A LRMER is an estimate of the rate of emissions that would be either induced or avoided by a change in electric demand, taking into account how the change could ...

Gagnon, . et al Grid Planning and Analysis Center

Jan 15, 2023
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Long-run Marginal Emission Rates for Electricity Workbooks for 2021 Cambium Data

These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. The LRMER is an estimate of the rate of emissions that would be either induced or avoided by a long-term (i.e., more than several years) change in electrical dem...

Gagnon, . et al Grid Planning and Analysis Center

Jan 05, 2022
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Long-run Marginal Emission Rates for Electricity Workbooks for 2023 Cambium Data

These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States' electric sector. A LRMER is an estimate of the rate of emissions that would be either induced or avoided by a change in electric demand, taking into account how ...

GagnonGrid Planning and Analysis Center

Feb 15, 2024
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Long-run Marginal CO2 Emission Rates Workbooks for 2020 Standard Scenarios Cambium Data

This dataset has been superseded by a new set of workbooks that can be found here: https://data.nrel.gov/submissions/183 These workbooks contain modeled estimates of long-run marginal CO2 emission rates (LRMER) for the contiguous United States. The LRMER is an estimate of the r...

Gagnon, . et al Energy Systems Integration

Aug 12, 2021
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Planning for the evolution of the electric grid with a long-run marginal emission rate data and code

Data and code generated for the paper "Planning for the evolution of the electric grid with a long-run marginal emission rate", Pieter Gagnon and Wesley Cole, 2022.

Gagnon and ColeNational Renewable Energy Laboratory (NREL)

Feb 02, 2022
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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
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European Union (EU) GHG and CO2 Emissions 2010 (1990 2007)

[European Commission Website]: http://ec.europa.eu/about_en.htm These datasets include GHG and CO2 emissions statistics for the European Union (EU). The statistics are available from the [European Commission Website][]. Data includes: summary GHG and CO2 emissions for the entire ...

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

Jul 29, 2014
6 Resources
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Annual Carbon Dioxide Emissions (2005 2009)

Total annual carbon dioxide emissions by country, 2005 to 2009 (million metric tons). Compiled by Energy Information Administration (EIA).

National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
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In curation

Utah FORGE: Slide-Hold-Slide Experiments on Gneiss at Increased Temperature

Included are data from triaxial, single-inclined-fracture friction experiments. The experiments were performed with slide-hold-slide protocol on Utah FORGE gneiss at increased temperature. With a ~10 MPa normal stress, temperatures vary between experiments from room temperature u...

Eijsink, A. and Elsworth, D. Penn State University

Jul 25, 2023
24 Resources
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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
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Greenhouse Gas emissions from California Geothermal Power Plants

The information given in this file represents greenhouse gas (GHG) emissions and corresponding emission rates for California flash and dry steam geothermal power plants. This stage of the life cycle is the fuel use component of the fuel cycle and arises during plant operation. Des...

Sullivan, J. Argonne National Laboratory

Mar 14, 2014
1 Resources
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TP84227_FS83049_OPData

The data set represents the data used for the analysis of operational carbon emissions for a carbon case study of a typical production builder's home in two common climate zones, Climate Zone 2 (Warm) and CZ 5 (Cold). A data set for embodied carbon emissions analysis for the sam...

RapportBuilding Technologies and Science Center

Jan 17, 2023
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TP84227_FS83049_ECData

The data set represents the data used for the analysis of embodied carbon emissions for a carbon case study of a typical production builder's home in two common climate zones, Climate Zone 2 (Warm) and CZ 5 (Cold). A data set for operational carbon emissions analysis for the same...

RapportBuilding Technologies and Science Center

Jan 17, 2023
1 Resources
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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 HeathEnergy Systems Integration

Aug 23, 2021
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Industrial Facility Combustion Energy Use

Facility-level industrial combustion energy use is calculated from greenhouse gas emissions data reported by large emitters (>25,000 metric tons CO2e per year) under the U.S. EPA's Greenhouse Gas Reporting Program (GHGRP, https://www.epa.gov/ghgreporting). The calculation applies ...

McMillanNational Renewable Energy Laboratory

Jul 19, 2016
2 Resources
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Industrial Process Heat Demand Characterization

This data set is an expansion of the facility-level process heat survey conducted by McMillan et al. 2015 https//doi.org/10.2172/1334495. Using the same methodology annual facility combustion energy use was calculated from emissions data reported to U.S. Environmental Protection A...

McMillan and RuthNational Renewable Energy Laboratory

Jul 05, 2018
1 Resources
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U.S. Distribution and Production of Oil and Gas Wells

Distribution tables of oil and gas wells by production rate for all wells, including marginal wells, are available from the EIA for most states for the years 1919 to 2009. Graphs displaying historical behavior of well production rate are also available. The quality and comple...

Hill, G. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017

The Foundational Industry Energy Dataset (FIED) addresses several of the areas of growing disconnect between the demands of industrial energy analysis and the state of industrial energy data by providing unit-level characterization by facility. Each facility is identified by a uni...

McMillan, C. et al National Renewable Energy Laboratory (NREL)

Jul 01, 2024
4 Resources
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Hourly Energy Emission Factors for Electricity Generation in the United States

Monthly average hourly CO2, NOx, and SO2 emission factors for each U.S. eGRID subregion. This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the [eGRID](https://www.epa.gov/egrid) subregions in the continenta...

Studer, D. National Renewable Energy Laboratory

Nov 25, 2014
25 Resources
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SplitSmart: An Open Dataset for Enabling Research in Energy-Efficient Ductless-Split Air Conditioner

SplitSmart provides a context-rich open dataset to facilitate research in energy efficient ductless-split cooling systems. The objective is to enable research advancements to make the ductless-split cooling systems (aka air conditioners) energy efficient and reduce the associated ...

Kaushik, K. and Naik, V. BITS Pilani Goa

Sep 21, 2023
13 Resources
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GeoVision: Harnessing the Heat Beneath Our Feet Analysis Inputs and Results

This submission includes input and results data from analysis done as part of the Geothermal Technology Office's Geothermal Vision Study (GeoVision). The submission includes data for both analysis of the electricity sector and the heating and cooling sector. For the electricity se...

Geothermal Technologies Office, U. National Renewable Energy Laboratory

Sep 30, 2019
16 Resources
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Grid Service Values of Generic Marginal Building Flexibility in Modeled 2030 U.S. Power Systems

The datasets include the capacity, energy, and ancillary service values of a marginal kilowatt-hour (kWh) of generic, daily, shiftable building flexibility as a presumed market entrant in the 2030 U.S. power systems. The results should be interpreted along with the caveats listed ...

Zhou, . et al Strategic Energy Analysis Center

Jan 12, 2021
36 Resources
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National Climate Database (NCDB)

The National Climate Database (NCDB) is a high resolution, bias-corrected climate dataset consisting of the three most widely used variables of solar radiation global horizontal (GHI), direct normal (DNI), and diffuse horizontal irradiance (DHI) as well as other meteorological dat...

Yang, J. et al National Renewable Energy Laboratory (NREL)

Sep 30, 2024
5 Resources
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2020 Annual Technology Baseline (ATB) Cost and Performance Data for Transportation Technologies

The 2020 Transportation Annual Technology Baseline (ATB) provides detailed cost and performance data, estimates, and assumptions for vehicle and fuel technologies in the United States. The Transportation ATB includes current and projected estimates through 2050 for light-duty vehi...

Jadun, . et al National Renewable Energy Laboratory

Aug 22, 2020
5 Resources
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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...

Marone, C. et al Pennsylvania State University

May 14, 2021
3 Resources
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