Manufacturing Thermal Energy Use in 2014
The first data set estimates thermal energy use (i.e., fuels combusted for process heating, boilers, and combined heat and power/cogeneration) by end use, temperature, county, and facility employment size class for all U.S. manufacturing industries in 2014. The estimation methodology builds off of prior estimates of industrial energy use (https://dx.doi.org/10.7799/1481899, https://dx.doi.org/10.7799/1461488). The second data set estimates hourly heat load (as a fraction of annual energy used for heat) using hourly observations of industrial boiler and combined heat and power/cogeneration heat load from EPA's Air Markets Program Data (https://ampd.epa.gov/ampd/), weekly operating hours in 2014 from Census Quarterly Survey of Plant Capacity Utilization (https://www.census.gov/programs-surveys/qpc/data.html), and annual production hours reported by assessments conducted by Industrial Assessment Centers (https://iac.university/). ERRATA: Representative heat load shapes were revised based on an updated estimation methodology. Hourly heat load relative to peak load is estimated by NAICS code, employment size class, month, day of week (Monday == 0) for a range of average weekly operating hours for boilers and process heating. The high and low operating hours values represent the 95% confidence interval of average weekly operating hours.
Citation Formats
TY - DATA
AB - The first data set estimates thermal energy use (i.e., fuels combusted for process heating, boilers, and combined heat and power/cogeneration) by end use, temperature, county, and facility employment size class for all U.S. manufacturing industries in 2014. The estimation methodology builds off of prior estimates of industrial energy use (https://dx.doi.org/10.7799/1481899, https://dx.doi.org/10.7799/1461488). The second data set estimates hourly heat load (as a fraction of annual energy used for heat) using hourly observations of industrial boiler and combined heat and power/cogeneration heat load from EPA's Air Markets Program Data (https://ampd.epa.gov/ampd/), weekly operating hours in 2014 from Census Quarterly Survey of Plant Capacity Utilization (https://www.census.gov/programs-surveys/qpc/data.html), and annual production hours reported by assessments conducted by Industrial Assessment Centers (https://iac.university/). ERRATA: Representative heat load shapes were revised based on an updated estimation methodology. Hourly heat load relative to peak load is estimated by NAICS code, employment size class, month, day of week (Monday == 0) for a range of average weekly operating hours for boilers and process heating. The high and low operating hours values represent the 95% confidence interval of average weekly operating hours.
AU - McMillan
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - manufacturing
KW - boilers
KW - process heat
KW - temperature
KW - thermal energy
KW - CHP
KW - cogeneration
LA - English
DA - 2019/09/27
PY - 2019
PB - National Renewable Energy Laboratory
T1 - Manufacturing Thermal Energy Use in 2014
UR - https://data.openei.org/submissions/8192
ER -
McMillan. Manufacturing Thermal Energy Use in 2014. National Renewable Energy Laboratory, 27 September, 2019, NREL. https://data.nrel.gov/submissions/118.
McMillan. (2019). Manufacturing Thermal Energy Use in 2014. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/118
McMillan. Manufacturing Thermal Energy Use in 2014. National Renewable Energy Laboratory, September, 27, 2019. Distributed by NREL. https://data.nrel.gov/submissions/118
@misc{OEDI_Dataset_8192,
title = {Manufacturing Thermal Energy Use in 2014},
author = {McMillan},
abstractNote = {The first data set estimates thermal energy use (i.e., fuels combusted for process heating, boilers, and combined heat and power/cogeneration) by end use, temperature, county, and facility employment size class for all U.S. manufacturing industries in 2014. The estimation methodology builds off of prior estimates of industrial energy use (https://dx.doi.org/10.7799/1481899, https://dx.doi.org/10.7799/1461488). The second data set estimates hourly heat load (as a fraction of annual energy used for heat) using hourly observations of industrial boiler and combined heat and power/cogeneration heat load from EPA's Air Markets Program Data (https://ampd.epa.gov/ampd/), weekly operating hours in 2014 from Census Quarterly Survey of Plant Capacity Utilization (https://www.census.gov/programs-surveys/qpc/data.html), and annual production hours reported by assessments conducted by Industrial Assessment Centers (https://iac.university/). ERRATA: Representative heat load shapes were revised based on an updated estimation methodology. Hourly heat load relative to peak load is estimated by NAICS code, employment size class, month, day of week (Monday == 0) for a range of average weekly operating hours for boilers and process heating. The high and low operating hours values represent the 95% confidence interval of average weekly operating hours.},
url = {https://data.nrel.gov/submissions/118},
year = {2019},
howpublished = {NREL, National Renewable Energy Laboratory, https://data.nrel.gov/submissions/118},
note = {Accessed: 2025-04-25}
}
Details
Data from Sep 27, 2019
Last updated Jan 21, 2025
Submitted Sep 27, 2019
Organization
National Renewable Energy Laboratory
Contact
Colin McMillan
Authors
Original Source
https://data.nrel.gov/submissions/118Research Areas
Keywords
manufacturing, boilers, process heat, temperature, thermal energy, CHP, cogenerationDOE Project Details
Project Name Solar for Industrial Process heat
Project Number EE0034454