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.
4 Resources
Name Size Type Resource Description
Manufacturing_Heat_Loadshapes.tar.gz 9.18 MB Archive Parquet file partitioned by North American Industrial Classification (NAICS) code, compressed in a tar file.
Manufacturing_Energy_by_Temperature_and_Enduse.tar.gz.gz 7.45 MB Archive Parquet file partitioned by FIPS state code.
Process_heat_load_shapes.gzip 6.96 MB Document ERRATUM: Representative hourly heat load shapes for process heat use, relative to peak load, by NAICS code, employment size class, month, and day of week.
Boiler_load_shapes.gzip 6.77 MB Document ERRATUM: Representative hourly heat load shapes for boiler use, relative to peak load, by NAICS code, employment size class, month, and day of week
Author Information
Colin McMillan, National Renewable Energy Laboratory, ORCID iD: 0000-0001-5346-478X
Cite This Dataset
McMillan, Colin (2019): Manufacturing Thermal Energy Use in 2014. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/118
About This Dataset
118
10.7799/1570008
Public
09/27/2019
DOE Project
Solar for Industrial Process heat
Funding Organization
Department of Energy (DOE)
Sponsoring Organization
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
Research Areas
Energy Analysis
Solar Power
Digital Object Identifier
10.7799/1570008