Curated Modeled Fault Data Set

The curated fault model simulation data set consists of tagged and fully-described time series representing simulated faults for the AFDD test building (ORNLs Flexible Research Platform (FRP)), including baseline performance, faulty performance, and corresponding energy impact. A total of 26 fault models are considered for 99 simulation scenarios with various fault intensity levels.

Additional Contacts: Principal investigator: Matt Leach Matt.Leach@nrel.gov Simulation performer: Janghyun Kim Janghyun.Kim@nrel.gov

Data and Resources

Field Value
DOI 10.25984/1862681
accessLevel public
bureauCode {019:20}
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dataQuality true
identifier https://data.openei.org/submissions/908
issued 2019-06-24T06:00:00Z
landingPage https://data.openei.org/submissions/908
license https://creativecommons.org/licenses/by/4.0/
modified 2022-04-12T19:26:47Z
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programCode {019:002}
projectNumber FY16 AOP 3.2.6.18
projectTitle An Open, Cloud-Based Platform for Whole-Building Fault Detection and Diagnostics
publisher National Renewable Energy Laboratory
resource-type Dataset
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Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • afdd
  • amerigeo
  • amerigeoss
  • building
  • building-energy
  • building-energy-efficiency
  • buildings
  • ckan
  • commercial
  • energy-efficiency
  • energyplus
  • fault
  • geo
  • geoss
  • model
  • national
  • north-america
  • simulation
  • united-states
isopen True
license_id cc-by
license_title Creative Commons Attribution
license_url http://www.opendefinition.org/licenses/cc-by
maintainer Janghyun Kim
maintainer_email Janghyun.Kim@nrel.gov
metadata_created 2025-11-21T16:31:12.918428
metadata_modified 2025-11-21T16:31:12.918432
notes The curated fault model simulation data set consists of tagged and fully-described time series representing simulated faults for the AFDD test building (ORNLs Flexible Research Platform (FRP)), including baseline performance, faulty performance, and corresponding energy impact. A total of 26 fault models are considered for 99 simulation scenarios with various fault intensity levels. Additional Contacts: Principal investigator: Matt Leach Matt.Leach@nrel.gov Simulation performer: Janghyun Kim Janghyun.Kim@nrel.gov
num_resources 7
num_tags 19
title Curated Modeled Fault Data Set