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Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms

Metadata Updated: April 26, 2022

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.

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons Attribution

Downloads & Resources


Metadata Created Date October 14, 2021
Metadata Updated Date April 26, 2022

Metadata Source

Harvested from OpenEI data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date October 14, 2021
Metadata Updated Date April 26, 2022
Publisher Lawrence Berkeley National Laboratory
Doi 10.25984/1824861
Data First Published 2019-02-26T07:00:00Z
Data Last Modified 2021-10-15T15:07:50Z
Public Access Level public
Bureau Code 019:20
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Data Quality True
Harvest Object Id 46e48710-e2a4-49d2-ad63-a2b89e0d70ea
Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
Harvest Source Title OpenEI data.json
Homepage URL
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Program Code 019:002, 019:000
Projectnumber FY17 AOP
Projecttitle Automated Fault Detection and Diagnostics Data Curation and Benchmarking
Source Datajson Identifier True
Source Hash 23d5d63025286d1853a3ff5e91dfcb6328b6f143
Source Schema Version 1.1
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