Public Datasets

End Use Load Profiles for the U.S. Building Stock

This dataset describes the timeseries energy consumption of the U.S. commercial building stock at the end-use level. For more details about data access platforms, structure and contents, visit our external documentation website.

The ComStock GitHub repository contains the source code used to build and execute ComStock models, including upgrade scenarios. In addition, the sampling of building characteristics used for the initial ComStock (V1.0) release is provided. The ComStock model is under active calibration and development, which is publicly visible on this repository.

Visit the FAQ to find answers to frequently asked questions about the dataset and data viewers.

Releases

  • Weather year links to the weather files used for the release.

  • Visit the Data Viewer links to access the Data Viewer where you can view the data in customizable time scales and aggregations.

  • The Metadata files on the Open Energy Initiative (OEDI) Data Lake provide individual model characteristics with annual results.

  • The Supplemental Data and Dictionaries link will take you to folders on OEDI that contain pre-aggregated timeseries .csv files for different geographies, weather data in .csv format, geographic information, OpenStudio building energy models, and a data dictionary and enumerations dictionary defining all data fields and parameter options.

Publication date Release # Building stock represented Upgrades applied Weather year Data Viewer Links (beta) - Annual and Timeseries Energy  Data Table with Characteristics and Annual Energy Use (metadata)    Supplemental Data and Dictionaries
March 2024 2024_1 U.S. commercial sector circa 2018
  • Variable Speed HP RTU, Electric Backup
  • Variable Speed HP RTU, Electric Backup, Energy Recovery
  • Variable Speed HP RTU, Original Heating Fuel Backup
  • VRF with DOAS
  • VRF with 25pct Upsizing Allowance
  • DOAS HP Minisplits
  • HP Boiler, Electric Backup
  • HP Boiler, Gas Backup
  • Air Side Economizers for AHUs
  • Demand Control Ventilation
  • Energy Recovery for AHUs
  • Advanced RTU Controls
  • Unoccupied AHU Control
  • Hydronic Water-to-Water Geothermal Heat Pump
  • Packaged Water-to-Air Geothermal Heat Pump
  • Console Water-to-Air Geothermal Heat Pump
  • Comprehensive Geothermal Heat Pump Package, Hydronic GHP, Packaged GHP, or Console GHP
  • Demand Flexibility, Thermostat Control, Load Shed 20. Demand Flexibility, Thermostat Control, Load Shift
  • LED Lighting
  • Electric Kitchen Equipment
  • Wall Insulation
  • Roof Insulation
  • Secondary Windows
  • Window Film
  • New Windows
  • Package 1, Wall & Roof Insulation + New Windows
  • Package 2, LED Lighting + Variable Speed HP RTU or HP Boilers
  • Package 4, Package 1 + Package 2
  • Package 5, Variable Speed HP RTU or HP Boilers + Economizer + DCV + Energy Recovery
amy2018
  • by_state
  • by_puma_northeast
  • by_puma_midwest
  • by_puma_south
  • by_puma_west
  • metadata suppl_data_dict
    September 2023 2023_2 U.S. commercial sector circa 2018
    • HP RTU, Electric Backup
    • HP RTU, Original Heating Fuel Backup
    • VRF with DOAS
    • DOAS HP Minisplits
    • HP Boiler, Electric Backup;
    • HP Boiler, Gas Backup
    • Demand Control Ventilation
    • Energy Recovery
    • LED Lighting
    • Wall Insulation
    • Roof Insulation
    • Secondary Windows
    • Window Film
    • New Windows
    • Package 1, Wall & Roof Insulation + New Windows
    • Package 2, LED Lighting + HP RTU or HP Boilers
    • Package 3, Package 1 + Package 2
    amy2018
  • by_state
  • metadata metadata
    March 2023 2023_1 U.S. commercial sector circa 2018
    • HP-RTU
    • DOAS HP Minisplits
    • Heat Pump Boiler
    • LED Lighting
    • Exterior Wall Insulation
    • Roof Insulation
    • Secondary Windows
    • Window Film
    • New Windows
    amy2018
  • by_state
  • metadata suppl_data_dict
    October 2021 2021_1 U.S. commercial sector circa 2018 None amy2018 metadata suppl_data_dict
    October 2021 2021_1 U.S. commercial sector circa 2018 None tmy3 metadata suppl_data_dict

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