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 unique registryID, based on the U.S. Environmental Protection Agency (EPA) Facility Registry Service, and includes its coordinates and other geographic identifiers. Energy-using units are characterized by design capacity, as well as their estimated energy use, greenhouse gas emissions, and physical throughput using 2017 data from the EPA's National Emissions Inventory and Greenhouse Gas Reporting Program.
An overview of the derivation methods is provided in a separate technical report which will be linked after publication. The Python code used to compile the dataset is available in a GitHub repository. An updated 2020 version is under development.
Citation Formats
TY - DATA
AB - 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 unique registryID, based on the U.S. Environmental Protection Agency (EPA) Facility Registry Service, and includes its coordinates and other geographic identifiers. Energy-using units are characterized by design capacity, as well as their estimated energy use, greenhouse gas emissions, and physical throughput using 2017 data from the EPA's National Emissions Inventory and Greenhouse Gas Reporting Program.
An overview of the derivation methods is provided in a separate technical report which will be linked after publication. The Python code used to compile the dataset is available in a GitHub repository. An updated 2020 version is under development.
AU - McMillan, Colin
A2 - Schoeneberger, Carrie
A3 - Supekar, Sarang
A4 - Thierry, David
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.25984/2437657
KW - energy
KW - industry
KW - greenhouse gas emissions
KW - combustion units
KW - boilers
KW - furnaces
KW - ovens
KW - process heat
KW - FIED
KW - data
KW - dataset
KW - energy analysis
KW - industrial energy
KW - unit-level
KW - facility
KW - capacity
KW - energy use
KW - greenhouse gas
KW - throughput
KW - energy estimate
KW - code
KW - processed data
KW - Python
LA - English
DA - 2024/07/01
PY - 2024
PB - National Renewable Energy Laboratory (NREL)
T1 - The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017
UR - https://doi.org/10.25984/2437657
ER -
McMillan, Colin, et al. The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017. National Renewable Energy Laboratory (NREL), 1 July, 2024, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/2437657.
McMillan, C., Schoeneberger, C., Supekar, S., & Thierry, D. (2024). The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017. [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory (NREL). https://doi.org/10.25984/2437657
McMillan, Colin, Carrie Schoeneberger, Sarang Supekar, and David Thierry. The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017. National Renewable Energy Laboratory (NREL), July, 1, 2024. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/2437657
@misc{OEDI_Dataset_6158,
title = {The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017},
author = {McMillan, Colin and Schoeneberger, Carrie and Supekar, Sarang and Thierry, David},
abstractNote = {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 unique registryID, based on the U.S. Environmental Protection Agency (EPA) Facility Registry Service, and includes its coordinates and other geographic identifiers. Energy-using units are characterized by design capacity, as well as their estimated energy use, greenhouse gas emissions, and physical throughput using 2017 data from the EPA's National Emissions Inventory and Greenhouse Gas Reporting Program.
An overview of the derivation methods is provided in a separate technical report which will be linked after publication. The Python code used to compile the dataset is available in a GitHub repository. An updated 2020 version is under development. },
url = {https://data.openei.org/submissions/6158},
year = {2024},
howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory (NREL), https://doi.org/10.25984/2437657},
note = {Accessed: 2025-05-11},
doi = {10.25984/2437657}
}
https://dx.doi.org/10.25984/2437657
Details
Data from Jul 1, 2024
Last updated Sep 9, 2024
Submitted Aug 17, 2024
Organization
National Renewable Energy Laboratory (NREL)
Contact
Colin McMillan
202.488.2251
Authors
Research Areas
Keywords
energy, industry, greenhouse gas emissions, combustion units, boilers, furnaces, ovens, process heat, FIED, data, dataset, energy analysis, industrial energy, unit-level, facility, capacity, energy use, greenhouse gas, throughput, energy estimate, code, processed data, PythonDOE Project Details
Project Name Foundational Industrial Data Development - Industrial Data Platform
Project Number 28759
