Data from hydronic heating systems in 216 commercial buildings

This dataset contains timeseries data from hydronic heating (or heating hot water (HHW))) systems in 216 buildings across 49 US organizations. The dataset comprises over 100 million measurements taken by building automation systems from 2014-2023. A typical building’s dataset contains measured supply and return water temperature, flow rate, output heating power (or heating load), system state and outdoor temperature spanning 2.2 years (15-minute interval), though the types, span, and interval of data vary based on what was available for each building. Pump and boiler data are available for smaller subsets of buildings. The dataset also includes a broad range of metadata characteristics related to both the building and the HHW system, such as floor area, year of construction, building type, climate zone, heating system type, and heating design day temperature. Further heating system metadata such as equipment design capacity, nominal efficiency, and minimum turndown are available for a smaller subset of buildings. This dataset also includes a timeseries visualization for each building in the dataset. Last, the dataset also includes the R code and markdown used to analyse and visualize the data in the associated journal paper. The README.txt file contains a detailed description of each of the files included and its contents.

Methods
See linked open access journal publication for detail regarding how this dataset was collected and processed.