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Development of Fault Models for Hybrid Fault Detection and Diagnostics Algorithm
(2015)
  • Howard Cheung
  • James E. Braun
Abstract
This report describes models of building faults that were created for OpenStudio to support the ongoing development of fault detection and diagnostic (FDD) algorithms at the National Renewable Energy Laboratory. Building faults are operating abnormalities that degrade building performance, which include using more energy than normal operation or failing to maintain building temperatures according to the thermostat set points. Models of building faults in OpenStudio can be used to estimate fault impacts on building performance and to develop and evaluate FDD algorithms.

Keywords
  • Building Fault,
  • Building Simulation,
  • EnergyPlus
Disciplines
Publication Date
2015
Citation Information
Howard Cheung and James E. Braun. "Development of Fault Models for Hybrid Fault Detection and Diagnostics Algorithm" (2015)
Available at: http://works.bepress.com/howard_cheung/20/