The data set is a significant expansion of that first published by the lead authors in 2020.įault detection and diagnostics (FDD) is a well-established field of study in building science and building technology applications. To inform more data-hungry algorithms, most of the simulated data cover a year of operation for each fault-severity combination. Simulation tools, experimental test facilities, and in-situ field operation were used to generate the data. 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. It covers the most common HVAC systems and configurations in commercial buildings, across a range of climates, fault types, and fault severities. This article summarizes the development and content of the largest known public dataset of building system operations in faulted and fault free states. 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. Open data is fueling innovation across many fields.
