AlphaBuilding - Synthetic Buildings Operation Dataset

Description

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.

Resources

Name Format Description Link
21 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. https://registry.opendata.aws/oedi-data-lake/
21 Link to Data in OEDI S3 Data Viewer https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=building_synthetic_dataset%2F
21 The page contains a brief introduction and Jupyter notebook to show data extraction and visualizations. https://lbnl-eta.github.io/AlphaBuilding-SyntheticDataset/
21 AlphaBuilding-SyntheticDataset GitHub repository, which includes source code to reproduce the AlphaBuilding dataset, a Python script with an example of extracting the raw CSV outputs and saving them in a structured way, and a notebook that explores the synthetic building operation dataset generated from simulations. https://github.com/LBNL-ETA/AlphaBuilding-SyntheticDataset
37 This notebook explores the synthetic building operation dataset generated from simulations with U.S. DOE reference detailed medium-sized office building. We demonstrate the basic data extraction and visualization, as well as example use cases of the data. https://github.com/LBNL-ETA/AlphaBuilding-SyntheticDataset/blob/master/A%20Synthetic%20Operation%20Dataset.ipynb

Tags

  • hvac
  • efficiency
  • synthetic-data
  • occupancy
  • alphabuilding
  • environmental
  • energy-consumption
  • mel
  • lighting
  • building
  • simulation
  • synthetic
  • energy
  • miscellaneous-electric-loads

Topics

Categories