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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, S. and Heath, G. National Renewable Energy Laboratory

Aug 23, 2021
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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, C. and Ruth, M. National Renewable Energy Laboratory

Jul 25, 2025
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2017 Annual Technology Baseline (ATB): Cost and Performance Data for Electricity Generation Technologies

Each year since 2015, NREL has presented Annual Technology Baseline (ATB) in a spreadsheet that contains detailed cost and performance data (both current and projected) for renewable and conventional technologies. The spreadsheet includes a workbook for each technology. This sprea...

Hand, M. et al National Renewable Energy Laboratory

Aug 21, 2017
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National Occupational Estimates 2023

This dataset provides occupational staffing patterns and proportional estimates across sub-sectors tracked by the US Energy Employment Report (USEER), including Advanced Natural Gas, Bioenergy, CHP, Coal, Geothermal, Land-Based Wind, Low-Impact Hydro, Natural Gas, Nuclear, Oil, Of...

Wegner Guilfoyle, K. National Laboratory of the Rockies (NLR)

Apr 13, 2026
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Electric Technology Adoption and Energy Consumption

Scenario data from the Electrification Futures Study Scenarios of Electric Technology Adoption and Power Consumption for the United States report. Annual projections from 2017 to 2050 of electric technology adoption and energy consumption for five scenarios reference electrificati...

Mai, T. et al National Renewable Energy Laboratory

Jul 05, 2018
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Electrification Futures Study Flexible Load Profiles

This data set includes hourly profiles for flexible load developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand that is assumed to be flexible (i.e., can be shifted throughout a day) for various scenarios of flexibil...

Jadun, P. et al National Renewable Energy Laboratory

Feb 04, 2020
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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
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Electrification Futures Study Load Profiles

This data set includes hourly load profiles developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand for various scenarios of electrification (Reference, Medium, High) and technology advancement (Slow, Moderate, Rapid)...

Mai, T. et al National Renewable Energy Laboratory

Jan 14, 2020
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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 ...

McMillan, C. National Renewable Energy Laboratory

Jul 19, 2016
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United States County-Level Industrial Energy Use

Estimated industrial manufacturing agriculture construction and mining energy estimated by North American Industrial Classification System NAICS code county and fuel type for 2014. Additional disaggregation by end use e.g. machine drive process heating facility lighting is provide...

McMillan, C. and Narwade, V. National Renewable Energy Laboratory

Sep 27, 2018
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Topology-Based Machine-Learning for Modeling Power-System Responses to Contingencies

This is the companion dataset to the presentation NREL/PR-6A20-77485, which was presented at the 2020 Joint Statistical Meeting on August 3, 2020. Developed for the machine-learning predictive modeling of power-system responses to disruptions, it contains results of power-system c...

Bush, B. National Renewable Energy Laboratory

Aug 01, 2020
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United State Utility-Scale Solar PV Representative Profiles 1998-2023

This data packet contains hourly generation profiles (representative profiles) for utility-scale PV across the contiguous United States. Hourly representative generation profiles are available for each reV supply curve site (~60,000 sites) which represents about 11.5 KM x 11.5 KM ...

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

Jun 14, 2025
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United States Land-based Wind Representative Profiles 2007-2013 & 2015-2023

This data packet contains hourly generation profiles (representative profiles) for land-based wind across the contiguous United States. Hourly representative generation profiles are available for each reV supply curve site (~53,000 sites) which represents about 11.5 KM x 11.5 KM s...

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

Jun 16, 2025
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Linearized Distribution Optimal Power Flow for OEDI SI

This research is to meant to demonstrate the OEDI SI use case for distributed optimal power flow (DOPF). The goal was to formulate the optimal power flow problem in the distribution system for active and reactive power setpoints of PV systems using topology information and voltage...

Sadnan, R. et al Pacific Northwest National Laboratory

Oct 03, 2023
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NLR HPC Facility Power Usage Effectiveness (PUE) Data

Timeseries of Energy Systems Integration Facility (ESIF) Data Center Power Usage Effectiveness (PUE) Data provided in Parquet and compressed CSV formatsPower Metrics Timeseries Fields:ts: Timestampcooling_kw: Cooling (kilowatts) Captures the power used by fans and pipe...

Clark, S. and Strelka, J. National Laboratory of the Rockies

Jan 29, 2026
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NLR HPC Eagle GPU Node Metrics

Ganglia node metrics and iLO (Integrated Lights Out) power data captured from six representative Eagle GPU nodesThe Eagle HPC operated at NLR from 2019 through 2024. Eagle was a 2,000-node, 8-petaflop system. This dataset is a representative sample of metrics for 6 of the GPU node...

Clark, S. National Laboratory of the Rockies

Jan 29, 2026
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Utility-Scale Solar, 2021 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", 2021 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...

Bolinger, M. et al Lawrence Berkeley National Lab

Sep 30, 2021
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NLR HPC Eagle Node Power Data

Power time series captured from all Eagle nodes using iLO (Integrated Lights Out)The Eagle HPC operated at NLR from 2019 through 2024. Eagle was a 2,000-node, 8-petaflop system. This dataset is a comprehensive time series of instantaneous snapshots of power usage at 1 minute inter...

Clark, S. National Laboratory of the Rockies

Jan 29, 2026
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Dataset of Generative AI Workload Power Profiles

This dataset provides a collection of high-resolution (5/10 Hz or every 0.2/0.1 seconds) power consumption profiles for generative artificial intelligence (GenAI) workloads executed on NLR's High Performance Computing (HPC) platform Kestrel. The dataset also includes examples of r...

Vercellino, R. et al National Laboratory of the Rockies

Mar 31, 2026
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Residential Loads May 2, 2016

Power measurements for various residential appliances in the System Performance Lab (SPL) in the Energy System Integration Facility (ESIF). This data set was collected as part of a project evaluating a new type of power meter that can reduce the cost of submetering many circuits i...

Sparn, B. National Renewable Energy Laboratory

Jun 14, 2016
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Peregrine HPC Energy Research

Complete power and performance metric data for 10,000 jobs randomly selected from two years of the Peregrine system’s operation (all jobs prior to October, 2015). Complete power and performance metric data for jobs run on the Peregrine system in April, 2015. Related Publica...

Phillips, C. National Renewable Energy Laboratory

Apr 10, 2024
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U.S. Voluntary Green Power Market Data 2019

This data book provides certain data behind figures and tables found in the NREL presentation, Status and Trends in the U.S. Voluntary Green Power Market (2019 Data). These data reflect estimates based on the best available data.

Heeter, J. and O'Shaughnessy, E. National Renewable Energy Laboratory

Sep 22, 2020
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U.S. Voluntary Green Power Market Data 2018

This data book provides certain data behind figures and tables found in the NREL presentation Status and Trends in the U.S. Voluntary Green Power Market 2018 Data. These data reflect estimates based on the best available data.

Heeter, J. and O'Shaughnessy, E. National Renewable Energy Laboratory

Oct 03, 2019
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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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Wind for Schools Wind Turbine Data

This dataset is a series of wind turbine data collected for the Wind for Schools project. The U.S. Department of Energy funded the Wind for Schools project, which helped develop a future wind energy workforce by encouraging students at higher education institutions to join Wind Ap...

Summerville, B. et al National Renewable Energy Laboratory (NREL)

Jan 01, 2012
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