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2018 Industrial Energy Data Book

The Industrial Energy Data Book (IEDB) aggregates and synthesizes information on the trends in industrial energy use, energy prices, economic activity, and water use. The IEDB also estimates county-level industrial energy use and combustion energy use of…
NREL
energy
Industrial Energy Data Book
industry
agriculture
mining
construction
manufacturing
county
Submitted 11/14/2019 - 07:47 by Colin McMillan

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…
NREL
energy
data
industry
heat
thermal
combustion
manufacturing
end use
greenhouse gas
low-temperature energy
United States
Submitted 07/19/2016 - 10:54 by Colin McMillan

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…
NREL
energy
data
industry
manufacturing
thermal
heat
greenhouse gas emissions
carbon dioxide
solar industrial process heat
geothermal energy
nuclear power
industrial heat
reducing emissions
carbon footprint
USA
Submitted 07/05/2018 - 09:36 by Colin McMillan

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…
NREL
energy
data
industry
manufacturing
mining
agriculture
construction
North America
Submitted 09/27/2018 - 20:58 by Colin McMillan

Battery inverter experimental data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 30 kW off-the-shelf grid following battery inverter in the experiments. We…
battery inverter
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
Submitted 01/06/2023 - 11:53 by Kumaraguru Prabakar

PV inverter experimental data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used…
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
PV inverter
Submitted 01/06/2023 - 11:53 by Kumaraguru Prabakar

Split phase inverter data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 8.35 kW off-the-shelf grid following split phase PV inverter in the…
split phase inverter
PV inverter
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
data base for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
Submitted 03/22/2023 - 12:11 by Kumaraguru Prabakar

PV inverter experimental dataset version 2 with 100 percent power

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used…
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
PV inverter
Submitted 05/05/2023 - 11:22 by Kumaraguru Prabakar

Rotating Shadowband Radiometer (RSR) Data for La Ola Lanai, Hawaii

The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high…
midc
solar
irradiance
meterological
data
measurement
instrumentation
solar calendar
wind rose
display
weather
outdoor
global
direct
diffuse
temperature
humidity
wind
pressure
precipitation
silicon
rotating
shadowband
pyranometer
radiometer
rsr
rsp
solar energy
renewable energy
RE
La Ola Lanai
Hawaii
Submitted 12/17/2014 - 22:00 by Afshin Andreas

Solar Radiation Monitoring Station (SoRMS): Humboldt State University, Arcata, California (Data)

A partnership with HSU and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global horizontal, direct normal,…
midc
solar
irradiance
meterological
data
measurement
instrumentation
solar calendar
display
weather
outdoor
global
direct
diffuse
thermopile
pyranometer
radiometer
solar energy
renewable energy
RE
Humboldt State University
California
Arcata
solar power
Submitted 12/17/2014 - 22:00 by Andreas, A.