The DOE and Berkeley lab have partnered across the national laboratory complex and with the research community to curate, validate, and publish the world’s largest set of labeled time-series data representing commercial HVAC systems operating in faulted and fault-free states.
To learn more about fault detection, view our publications.
In today’s world, data is a commodity – the “open data” movement has gained traction as a powerful lever to drive innovation democratizing access to information enhances value across industries.
Buildings are becoming increasingly data rich environments but, in contrast to other domains such as image processing or government operations, open datasets representing commercial building operations are nearly non-existent. Even more rare is ground-truth verified data for building system and equipment operations.
Software-based analytics represent one of the fastest growing markets in commercial building technologies, and as data science comes to buildings, the industry has seen an explosion of interest in the development of advanced analytics and controls.
In particular, FDD (fault detection and diagnostics) technology enables average savings of 9% with 2-year paybacks, by using building operational data to identify system or equipment level faults, and isolate their causes.
This resource is being used by industry, research, and academia to:
