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Buildings Sector Scenarios (BSS)
The Buildings Sector Scenarios (BSS) dataset establishes and simulates a plausible range of scenarios for U.S. buildings sector development between now and 2050 with a high degree of geographic and temporal resolution. The BSS framework integrates the capabilities of existing modeling tools to pair detailed snapshots of the buildings sector today with representation of the key drivers of change in building and technology stocks over time. The high granularity and extensive scope of BSS data position this modeling resource as a starting point for diverse stakeholder analyses, ranging from the use of regional or national estimates of annual demand to evaluate program impacts to the use of county-level hourly electricity data to inform grid planning efforts and supply-side scenario modeling exercises.
For more information on the data structure and contents please see the "README" and "Supporting Information" resources below.
Versioning:
- v1.0.0 Created 10/31/2025
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Jared Langevin",
"@type": "vcard:Contact",
"hasEmail": "mailto:jared.langevin@lbl.gov"
}
|
| dataQuality |
true
|
| description | The Buildings Sector Scenarios (BSS) dataset establishes and simulates a plausible range of scenarios for U.S. buildings sector development between now and 2050 with a high degree of geographic and temporal resolution. The BSS framework integrates the capabilities of existing modeling tools to pair detailed snapshots of the buildings sector today with representation of the key drivers of change in building and technology stocks over time. The high granularity and extensive scope of BSS data position this modeling resource as a starting point for diverse stakeholder analyses, ranging from the use of regional or national estimates of annual demand to evaluate program impacts to the use of county-level hourly electricity data to inform grid planning efforts and supply-side scenario modeling exercises. For more information on the data structure and contents please see the "README" and "Supporting Information" resources below. Versioning: - v1.0.0 Created 10/31/2025 |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Annual-State and Hourly-County Projections - Postprocessed",
"format": "HTML",
"accessURL": "https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=buildings-sector-scenarios%2F",
"mediaType": "text/html",
"description": "Hourly-county disaggregation multipliers and projections (every 2 years, 2026-2050) of annual, state-level and hourly, county-level demand, post-calibration of electricity data to EIA 861M. Data in AWS S3."
},
{
"@type": "dcat:Distribution",
"title": "OEDI Data Registry on AWS",
"format": "HTML",
"accessURL": "https://registry.opendata.aws/oedi-data-lake/",
"mediaType": "text/html",
"description": "AWS public dataset program registry page for data released under the Department of Energy's (DOE) Open Energy Data Initiative (OEDI). The registry page contains information about dataset documentation, access, and contact, for each of the OEDI Data Lake datasets."
},
{
"@type": "dcat:Distribution",
"title": "Demand Flexibility Technical Potential.zip",
"format": "zip",
"mediaType": "application/zip",
"description": "Demand flexibility technical potential estimates and costs for the projection years 2030, 2040, and 2050 by scenario (from DR-Path)",
"downloadURL": "https://data.openei.org/files/8558/df_potential.zip"
},
{
"@type": "dcat:Distribution",
"title": "README.md",
"format": "md",
"mediaType": "application/octet-stream",
"description": "Guidance on how to interpret and use the dataset.",
"downloadURL": "https://data.openei.org/files/8558/README%20%281%29.md"
},
{
"@type": "dcat:Distribution",
"title": "Measure and Scenario Inputs.zip",
"format": "zip",
"mediaType": "application/zip",
"description": "Measure definitions, scenario summary, and adoption driver input files. ",
"downloadURL": "https://data.openei.org/files/8558/inputs%20%281%29.zip"
},
{
"@type": "dcat:Distribution",
"title": "Supporting Information.pptx",
"format": "pptx",
"mediaType": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
"description": "Reference slides with information to support interpretation of the dataset.",
"downloadURL": "https://data.openei.org/files/8558/bss_ref_slides.pptx"
},
{
"@type": "dcat:Distribution",
"title": "Annual-State Projections - Raw Scout Results.zip",
"format": "zip",
"mediaType": "application/zip",
"description": "Uncalibrated annual state-level stock, energy, and energy cost projections (every 2 years, 2024-2050) by scenario (from Scout)",
"downloadURL": "https://data.openei.org/files/8558/outputs_raw_annual.zip"
}
]
|
| identifier | https://data.openei.org/submissions/8558 |
| issued | 2025-10-31T06:00:00Z |
| keyword |
[
"2050",
"BSS",
"United States",
"annual energy demand",
"building",
"building stock",
"buildings",
"data",
"dataset",
"demand-side solutions",
"development",
"energy",
"hourly electric loads",
"key driver",
"model",
"power demand",
"processed data",
"raw data",
"scenario",
"scenario modeling",
"sector",
"technology stock"
]
|
| landingPage | https://data.openei.org/submissions/8558 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2025-11-24T21:00:02Z |
| programCode |
[
"019:000",
"019:002"
]
|
| projectNumber | FY25 AOP 3.5.5.71 |
| projectTitle | Buildings Standard Scenarios |
| publisher |
{
"name": "Lawrence Berkeley National Laboratory (LBNL)",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-180,-83],[180,-83],[180,83],[-180,83],[-180,-83]]]}"
|
| title | Buildings Sector Scenarios (BSS) |
