Industrial Energy End Use in the U.S
Facility-Level Combustion Energy Data
By US Open Data Portal, data.gov [source]
About this dataset
This dataset contains in-depth facility-level information on industrial combustion energy use in the United States. It provides an essential resource for understanding consumption patterns across different sectors and industries, as reported by large emitters (>25,000 metric tons CO2e per year) under the U.S. EPA's Greenhouse Gas Reporting Program (GHGRP). Our records have been calculated using EPA default emissions factors and contain data on fuel type, location (latitude, longitude), combustion unit type and energy end use classified by manufacturing NAICS code. Additionally, our dataset reveals valuable insight into the thermal spectrum of low-temperature energy use from a 2010 Energy Information Administration Manufacturing Energy Consumption Survey (MECS). This information is critical to assessing industrial trends of energy consumption in manufacturing sectors and can serve as an informative baseline for efficient or renewable alternative plans of operation at these facilities. With this dataset you're just a few clicks away from analyzing research questions related to consumption levels across industries, waste issues associated with unconstrained fossil fuel burning practices and their environmental impacts
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How to use the dataset
This dataset provides detailed information on industrial combustion energy end use in the United States. Knowing how certain industries use fuel can be valuable for those interested in reducing energy consumption and its associated environmental impacts.
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To make the most out of this dataset, users should first become familiar with what's included by looking at the columns and their respective definitions. After becoming familiar with the data, users should start to explore areas of interest such as Fuel Type, Report Year, Primary NAICS Code, Emissions Indicators etc. The more granular and specific details you can focus on will help build a stronger analysis from which to draw conclusions from your data set.
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Next steps could include filtering your data set down by region or end user type (such as direct related processes or indirect support activities). Segmenting your data set further can allow you to identify trends between fuel type used in different regions or compare emissions indicators between different processes within manufacturing industries etc. By taking a closer look through this lens you may be able to find valuable insights that can help inform better decision making when it comes to reducing energy consumption throughout industry in both public and private sectors alike.
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if exploring specific trends within industry is not something that’s of particular interest to you but rather understanding general patterns among large emitters across regions then it may be beneficial for your analysis to group like-data together and take averages over larger samples which better represent total production across an area or multiple states (timeline varies depending on needs). This approach could open up new possibilities for exploring correlations between economic productivity metrics compared against industrial energy use over periods of time which could lead towards more formal investigations about where efforts are being made towards improved resource efficiency standards among certain industries/areas of production compared against other more inefficient sectors/regionsetc — all from what's already present here!
By leveraging the information provided within this dataset users have access to many opportunities for finding all sorts of interesting yet practical insights which can have important impacts far beyond understanding just another singular statistic alone; so happy digging!
Research Ideas
- Analyzing the trends in combustion energy uses by region across different industries.
- Predicting the potential of transitioning to clean and renewable sources of energy considering the current end-uses and their magnitude based on this data.
- Creating an interactive web map application to visualize multiple industrial sites, including their energy sources and emissions data from this dataset combined with other sources (EPA’s GHGRP, MECS survey, etc)
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: industrialcombenergy-2014-csv-1.csv
| Column name |
Description |
| FACILITY_NAME |
Name of the facility. (String) |
| FUEL_TYPE |
Type of fuel used. (String) |
| FUEL_TYPE_BLEND |
Percentage of fuel blend. (Float) |
| FUEL_TYPE_OTHER |
Other fuel type. (String) |
| OTHER_OR_BLEND_FUEL_TYPE |
Indicates if the fuel type is a blend or other. (String) |
| REPORTING_YEAR |
Year of the report. (Integer) |
| UNIT_NAME |
Name of the combustion unit. (String) |
| UNIT_TYPE |
Type of combustion unit. (String) |
| COUNTY |
County of the facility. (String) |
| COUNTY_FIPS |
County FIPS code. (Integer) |
| LATITUDE |
Latitude of the facility. (Float) |
| LONGITUDE |
Longitude of the facility. (Float) |
| STATE |
State of the facility. (String) |
| ZIP |
Zip code of the facility. (Integer) |
| PRIMARY_NAICS_CODE |
Primary NAICS code of the facility. (Integer) |
| PRIMARY_NAICS_TITLE |
Primary NAICS title of the facility. (String) |
| COGENERATION_UNIT_EMISS_IND |
Indicates if the unit is a co-generation unit. (String) |
| CENSUS_PLACE_NAME |
Name of the census place. (String) |
| MECS_Region |
Region of the facility. (String) |
| MMBtu_TOTAL |
Total MMBtu of energy consumed. (Float) |
| GWht_TOTAL |
Total GWht of energy consumed. (Float) |
| GROUPING |
Combustion energy end use category. (String) |
File: manufacturingcombenergyenduse-gwh-2014-csv-2.csv
| Column name |
Description |
| PRIMARY_NAICS_CODE |
Primary NAICS code of the facility. (Integer) |
| PRIMARY_NAICS_TITLE |
Primary NAICS title of the facility. (String) |
| GWht_TOTAL |
Total GWht of energy consumed. (Float) |
| Indirect Uses-Boiler Fuel |
Amount of energy used for indirect boiler fuel. (Float) |
| Conventional Boiler Use |
Amount of energy used for conventional boiler use. (Float) |
| CHP and/or Cogeneration Process |
Amount of energy used for CHP and/or cogeneration process. (Float) |
| Direct Uses-Total Process |
Total amount of energy used for direct process uses. (Float) |
| Process Heating |
Amount of energy used for process heating. (Float) |
| Process Cooling and Refrigeration |
Amount of energy used for process cooling and refrigeration. (Float) |
| Machine Drive |
Amount of energy used for machine drive. (Float) |
| Electro-Chemical Processes |
Amount of energy used for electro-chemical processes. (Float) |
| Other Process Use |
Amount of energy used for other process uses. (Float) |
| Direct Uses-Total Nonprocess |
Total amount of energy used for direct nonprocess uses. (Float) |
| Facility HVAC (g) |
Amount of energy used for facility HVAC. (Float) |
| Facility Lighting |
Amount of energy used for facility lighting. (Float) |
| Other Facility Support |
Amount of energy used for other facility support. (Float) |
| Onsite Transportation |
Amount of energy used for onsite transportation. (Float) |
| Conventional Electricity Generation |
Amount of energy used for conventional electricity generation. (Float) |
| Other Nonprocess Use |
Amount of energy used for other nonprocess uses. (Float) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit US Open Data Portal, data.gov.