Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms

Published by Lawrence Berkeley National Laboratory | Department of Energy | Metadata Last Checked: January 23, 2026 | Last Modified: 2021-10-15T15:07:50Z

This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NREL, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop units simulated with PNNL's large office building model.

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Complete Metadata

bureauCode	[ "019:20" ]
dataQuality	true
DOI	10.25984/1824861
identifier	https://data.openei.org/submissions/910
issued	2019-02-26T07:00:00Z
landingPage	https://data.openei.org/submissions/910
programCode	[ "019:000", "019:002" ]
projectNumber	FY17 AOP 3.2.6.1
projectTitle	Automated Fault Detection and Diagnostics Data Curation and Benchmarking
spatial	{"type":"Polygon","coordinates":[[[-125.4514,24.5873],[-66.5318,24.5873],[-66.5318,49.2637],[-125.4514,49.2637],[-125.4514,24.5873]]]}

Location