A synthetic building operation dataset

Li, Han; Wang, Zhe; Hong, Tianzhen

doi:10.1038/s41597-021-00989-6

Title: A synthetic building operation dataset

Journal Article · 09 August 2021 · Scientific Data

DOI: https://doi.org/10.1038/s41597-021-00989-6 · OSTI ID:1812557

; Wang, Zhe;

Abstract This paper presents 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.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1812557

Journal Information:: Scientific Data, Journal Name: Scientific Data Journal Issue: 1 Vol. 8; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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