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 s..., See linked open access journal publication for detail regarding how this dataset was collected and processed., , # Data from hydronic heating systems in 216 commercial buildings

[https://doi.org/10.5061/dryad.t4b8gtj8n](https://doi.org/10.5061/dryad.t4b8gtj8n)

## Description of the data and file structure

Please note that the open-access journal paper associated with this dataset contains further information regarding this dataset, including software code used to analyze the data, visualize it, and create the manuscript file submitted to the journal. The journal paper analyzes a total of 259 buildings. The public dataset stored on Dryad contains the data from 216 buildings which is a subset of the 259 buildings that includes all the buildings which the donors allowed the timeseries data to be shared. The supplementary material associated with the journal paper includes the metadata and high level summary statistics for the full 259 building dataset, but not the underlying timeseries data.

### metadata.csv

This is a csv (comma separated value) format file. This anonymized public dataset contai...