A labeled dataset for building HVAC systems operating in faulted and fault-free states

Granderson, Jessica; Lin, Guanjing; Chen, Yimin; Casillas, Armando; Wen, Jin; Chen, Zhelun; Im, Piljae; Huang, Sen; Ling, Jiazhen

doi:10.1038/s41597-023-02197-w

Title: A labeled dataset for building HVAC systems operating in faulted and fault-free states

Journal Article · 31 May 2023 · Scientific Data

DOI: https://doi.org/10.1038/s41597-023-02197-w · OSTI ID:1975982

Granderson, Jessica; Lin, Guanjing;

; Casillas, Armando; Wen, Jin; Chen, Zhelun; Im, Piljae; Huang, Sen; Ling, Jiazhen

Abstract Open data is fueling innovation across many fields. In the domain of building science, datasets that can be used to inform the development of operational applications - for example new control algorithms and performance analysis methods - are extremely difficult to come by. This article summarizes the development and content of the largest known public dataset of building system operations in faulted and fault free states. It covers the most common HVAC systems and configurations in commercial buildings, across a range of climates, fault types, and fault severities. The time series points that are contained in the dataset include measurements that are commonly encountered in existing buildings as well as some that are less typical. Simulation tools, experimental test facilities, and in-situ field operation were used to generate the data. To inform more data-hungry algorithms, most of the simulated data cover a year of operation for each fault-severity combination. The data set is a significant expansion of that first published by the lead authors in 2020.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

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

Grant/Contract Number:: AC02-05CH11231; AC05-00OR22725; AC36-08GO28308

OSTI ID:: 1975982

Report Number(s):: NREL/JA-5500-86627; 342; PII: 2197

Journal Information:: Scientific Data, Journal Name: Scientific Data Journal Issue: 1 Vol. 10; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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