Journal article
A labeled dataset for building HVAC systems operating in faulted and fault-free states
Scientific data, v 10(1), pp 342-342
01 Jun 2023
PMID: 37264019
Featured in Collection : UN Sustainable Development Goals @ Drexel
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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Details
- Title
- A labeled dataset for building HVAC systems operating in faulted and fault-free states
- Creators
- Jessica Granderson - Lawrence Berkeley National LaboratoryGuanjing Lin - Lawrence Berkeley National LaboratoryYimin Chen - Lawrence Berkeley National LaboratoryArmando Casillas - Lawrence Berkeley National LaboratoryJin Wen - Drexel UniversityZhelun Chen - Drexel UniversityPiljae Im - Oak Ridge National LaboratorySen Huang - Oak Ridge National LaboratoryJiazhen Ling - National Renewable Energy Laboratory
- Publication Details
- Scientific data, v 10(1), pp 342-342
- Publisher
- NATURE PORTFOLIO
- Number of pages
- 13
- Grant note
- DE-AC02-05CH11231 / Assistant Secretary for Energy Efficiency and Renewable Energy, Building Technologies Office, of the U.S. Department of Energy; United States Department of Energy (DOE) Building Technologies Office
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:001004235800004
- Scopus ID
- 2-s2.0-85160905152
- Other Identifier
- 991021960637804721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Construction & Building Technology