Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms

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.

Data e Risorse

Campo Valore
DOI 10.25984/1824861
accessLevel public
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identifier https://data.openei.org/submissions/910
issued 2019-02-26T07:00:00Z
landingPage https://data.openei.org/submissions/910
license https://creativecommons.org/licenses/by/4.0/
modified 2021-10-15T15:07:50Z
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programCode {019:002,019:000}
projectNumber FY17 AOP 3.2.6.1
projectTitle Automated Fault Detection and Diagnostics Data Curation and Benchmarking
publisher Lawrence Berkeley National Laboratory
resource-type Dataset
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Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • ahu
  • air-conditioning
  • air-handling-unit
  • amerigeo
  • amerigeoss
  • building
  • building-energy
  • building-performance
  • ckan
  • commercial-buildings
  • cooling
  • energy
  • energyplus
  • fault-detection-and-diagnostics
  • geo
  • geoss
  • heating
  • hvac
  • model
  • national
  • north-america
  • raw-data
  • rooftop-units
  • simulation
  • united-states
  • vav
isopen True
license_id cc-by
license_title Creative Commons Attribution
license_url http://www.opendefinition.org/licenses/cc-by
maintainer Guanjing Lin
maintainer_email GJLin@lbl.gov
metadata_created 2025-11-22T19:09:14.127957
metadata_modified 2025-11-22T19:09:14.127961
notes 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.
num_resources 2
num_tags 26
title Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms