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Hierarchical and Programmable One-Pot Oligosaccharide Synthesis
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A synthetic building operation dataset.

Han Li1, Zhe Wang2, Tianzhen Hong3

  • 1Lawrence Berkeley National Laboratory, Building Technology and Urban Systems Division, Berkeley, 94720, United States. hanli@lbl.gov.

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|August 11, 2021
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Summary

This study introduces a comprehensive synthetic building operation dataset for HVAC and lighting systems, crucial for energy research and model development. The dataset aids in benchmarking, calibration, and advancing building energy prediction and control strategies.

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Area of Science:

  • Building Science
  • Energy Systems
  • Data Science

Background:

  • Accurate building operation data is essential for energy efficiency research.
  • Existing datasets may lack detail or realism in simulating diverse operational conditions.
  • Synthetic data generation offers a scalable solution to data scarcity.

Purpose of the Study:

  • To present a large-scale, high-resolution synthetic building operation dataset.
  • To provide data for benchmarking, calibration, and algorithm development in building energy analysis.
  • To enable realistic simulations considering occupant behavior and environmental factors.

Main Methods:

  • 1395 annual simulations of a U.S. DOE reference office building.
  • Inclusion of HVAC, lighting, and miscellaneous electric loads (MELs) data at 10-minute intervals.
  • Utilized 30 years of historical weather data across three climates and incorporated realistic occupant behavior assumptions.

Main Results:

  • A 1.2 TB HDF5 dataset containing detailed building operation parameters.
  • Data covers energy consumption, environmental conditions, and system operations.
  • Dataset includes metadata structured using the BRICK schema for interoperability.

Conclusions:

  • The synthetic dataset offers a valuable resource for advancing building energy research.
  • It supports applications such as energy model calibration, load prediction, and control strategy development.
  • The dataset facilitates the evaluation of occupant and weather impacts on building performance.