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.
Resources
4 resources available
-
FIED GitHub Repository
HTML -
FIED NREL Publication
PDF -
FIED Data Fields.yml
YML -
FIED 2017 Unit- and Facility-level Industrial Energy Data.csv
CSV
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Colin McMillan",
"@type": "vcard:Contact",
"hasEmail": "mailto:colin.mcmillan@nlr.gov"
}
|
| dataQuality |
true
|
| description | 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. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "FIED GitHub Repository",
"format": "HTML",
"accessURL": "https://github.com/NREL/foundational-industry-energy-data/",
"mediaType": "text/html",
"description": "Repository for Python code used to compile the FIED."
},
{
"@type": "dcat:Distribution",
"title": "FIED NREL Publication",
"format": "pdf",
"accessURL": "https://www.nrel.gov/docs/fy24osti/90442.pdf",
"mediaType": "application/pdf",
"description": "Publication including an introduction and detailing the FIED project and methods."
},
{
"@type": "dcat:Distribution",
"title": "FIED Data Fields.yml",
"format": "yml",
"mediaType": "application/octet-stream",
"description": "List and description of all data fields contained in the FIED.",
"downloadURL": "https://data.openei.org/files/6158/FIED_datafields.yml"
},
{
"@type": "dcat:Distribution",
"title": "FIED 2017 Unit- and Facility-level Industrial Energy Data.csv",
"format": "csv",
"mediaType": "text/csv",
"description": "Unit-level characterization by industrial facility. Includes identification of unit type, design capacity, and fuel. Estimates of energy use, greenhouse gas emissions, and throughput are derived by unit. See the technical report and GitHub repository for more information on methods and data. ",
"downloadURL": "https://data.openei.org/files/6158/foundational_industry_data_2017.csv"
}
]
|
| DOI | 10.25984/2437657 |
| identifier | https://data.openei.org/submissions/6158 |
| issued | 2024-07-01T06:00:00Z |
| keyword |
[
"FIED",
"Python",
"boilers",
"capacity",
"code",
"combustion units",
"data",
"dataset",
"energy",
"energy analysis",
"energy estimate",
"energy use",
"facility",
"furnaces",
"greenhouse gas",
"greenhouse gas emissions",
"industrial energy",
"industry",
"ovens",
"process heat",
"processed data",
"throughput",
"unit-level"
]
|
| landingPage | https://data.openei.org/submissions/6158 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2024-09-09T21:42:50Z |
| programCode |
[
"019:000"
]
|
| projectNumber |
"28759"
|
| projectTitle | Foundational Industrial Data Development - Industrial Data Platform |
| publisher |
{
"name": "National Renewable Energy Laboratory (NREL)",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-125.4514,24.5873],[-66.5318,24.5873],[-66.5318,49.2637],[-125.4514,49.2637],[-125.4514,24.5873]]]}"
|
| title | The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017 |
