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

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Journal Article

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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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