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.