AlphaBuilding - Synthetic Dataset

This is a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with 1395 annual simulations using the U.S. DOE detailed medium-sized reference office building, and 30 years' historical weather data in three typical climates including Miami, San Francisco, and Chicago. Three energy efficiency levels of the building and systems are considered. Assumptions regarding occupant movements, occupants' diverse temperature preferences, lighting, and MELs are adopted to reflect realistic building operations. A semantic building metadata schema - BRICK, is used to store the building metadata. The dataset is saved in a 1.2 TB of compressed HDF5 file. This dataset can be used in various applications, including building energy and load shape benchmarking, energy model calibration, evaluation of occupant and weather variability and their influences on building performance, algorithm development and testing for thermal and energy load prediction, model predictive control, policy development for reinforcement learning based building controls.

Data e Risorse

Campo Valore
DOI 10.25984/1784722
accessLevel public
bureauCode {019:20}
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dataQuality true
identifier https://data.openei.org/submissions/2977
issued 2020-12-21T07:00:00Z
landingPage https://data.openei.org/submissions/2977
license https://creativecommons.org/licenses/by/4.0/
modified 2021-05-26T17:55:06Z
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programCode {019:002,019:000}
projectNumber 34488
projectTitle Secure Algorithm Testbed for Energy Data Fusion
publisher Tianzhen Hong
resource-type Dataset
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Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • alphabuilding
  • amerigeo
  • amerigeoss
  • building
  • ckan
  • efficiency
  • energy
  • energy-consumption
  • environmental
  • geo
  • geoss
  • hvac
  • lighting
  • mel
  • miscellaneous-electric-loads
  • national
  • north-america
  • occupancy
  • simulation
  • synthetic
  • synthetic-data
  • united-states
isopen True
license_id cc-by
license_title Creative Commons Attribution
license_url http://www.opendefinition.org/licenses/cc-by
maintainer Han Li
maintainer_email hanli@lbl.gov
metadata_created 2025-11-21T12:09:47.024790
metadata_modified 2025-11-21T12:09:47.024794
notes This is a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with 1395 annual simulations using the U.S. DOE detailed medium-sized reference office building, and 30 years' historical weather data in three typical climates including Miami, San Francisco, and Chicago. Three energy efficiency levels of the building and systems are considered. Assumptions regarding occupant movements, occupants' diverse temperature preferences, lighting, and MELs are adopted to reflect realistic building operations. A semantic building metadata schema - BRICK, is used to store the building metadata. The dataset is saved in a 1.2 TB of compressed HDF5 file. This dataset can be used in various applications, including building energy and load shape benchmarking, energy model calibration, evaluation of occupant and weather variability and their influences on building performance, algorithm development and testing for thermal and energy load prediction, model predictive control, policy development for reinforcement learning based building controls.
num_resources 5
num_tags 22
title AlphaBuilding - Synthetic Dataset