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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 and NarwadeNational Renewable Energy Laboratory

Sep 27, 2018
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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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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
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AlphaBuilding Synthetic Buildings Operation Dataset

This is a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with...

Li, H. et al Lawrence Berkeley National Laboratory

Dec 21, 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 ...

McMillanNational Renewable Energy Laboratory

Jul 19, 2016
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City and County Energy Profiles

The City and County Energy Profiles lookup table provides modeled electricity and natural gas consumption and expenditures, on-road vehicle fuel consumption, vehicle miles traveled, and associated emissions for each U.S. city and county. Please note this data is modeled and more p...

Day, M. National Renewable Energy Laboratory

Dec 20, 2019
5 Resources
1 Stars
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Direct-Drive Electrical Generator and PTO System for Flap-type Wave Energy Converters

Project and generator specifications and initial prototype test data for flap-type wave energy converters (WEC)

Englebretson, S. ABB Inc.

Mar 20, 2015
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Electrification Futures Study Technology Data

This data supplements the "Electrification Futures Study: End-Use Electric Technology Cost and Performance Projections through 2050" report. The data included here consist of the cost and performance estimates for electric end-use technologies developed for the three sensitivity c...

Jadun, . et al National Renewable Energy Laboratory

Dec 20, 2017
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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
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West Flank Coso FORGE: Seismic Reflection

PDFs of seismic reflection profiles 101,110, 111 local to the West Flank FORGE site. 45 line kilometers of seismic reflection data are processed data collected in 2001 through the use of vibroseis trucks. The initial analysis and interpretation of these data was performed by Unru...

Blankenship, D. Sandia National Laboratories

May 16, 2016
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SMART-DS Synthetic Electrical Network Data OpenDSS Models for SFO, GSO, and AUS

The SMART-DS datasets (Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios) are realistic large-scale U.S. electrical distribution models for testing advanced grid algorithms and technology analysis. This document provides a user guide for the data...

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

Dec 18, 2020
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U.S. Wind and Solar PV Supply Curves with Future Land-use Change

This dataset provides future supply curves representing the total resource potential for land-based wind and solar photovoltaic (PV) deployment in the conterminous United States after accounting for the impact of land-use and land-cover change (LULC). We use LULC projections from ...

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

Jan 10, 2024
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OPFLearnData: Dataset for Learning AC Optimal Power Flow

The datasets are resulting from OPFLearn.jl, a Julia package for creating AC OPF datasets. The package was developed to provide researchers with a standardized way to efficiently create AC OPF datasets that are representative of more of the AC OPF feasible load space compared to t...

Joswig-Jones, . et al Power Systems Engineering

Oct 26, 2021
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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
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National Transmission Planning Study Long-Term Modeling Results

The National Transmission Planning Study (NTP Study) analyzed the transformation needed to ensure the U.S. transmission system continues to reliably meet electricity demand as the power sector evolves. The study linked several long and short-term power systems models to test numer...

Brown, P. and Mai, T. National Renewable Energy Laboratory (NREL)

Sep 10, 2023
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Microwave Radiometer CU Radiometrics MWR, Condon Raw Data

**Overview** These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km. **Data Details** All output files are named automatically using the following format: yyyy-mm-dd_hh-mm-ss_xxx.csv, where yyyy...