Implementation and testing of a fault detection software tool for improving control system performance in a large commercial building
This paper describes a model-based, feedforward control scheme that can detect faults in the controlled process and improve control performance over traditional PID control. The tool uses static simulation models of the system under control to generate feed-forward control action, which acts as a reference of correct operation. Faults that occur in the system cause discrepancies between the feedforward models and the controlled process. The scheme facilitates detection of faults by monitoring the level of these discrepancies. We present results from the first phase of tests on a dual-duct air-handling unit installed in a large office building in San Francisco. We demonstrate the ability of the tool to detect a number of preexisting faults in the system and discuss practical issues related to implementation.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- Environmental Energy Technologies Division
- DOE Contract Number:
- DE-AC02-05CH11231
- OSTI ID:
- 1010618
- Report Number(s):
- LBNL-45863; TRN: US201108%%499
- Resource Relation:
- Conference: ACEEE 2000 Summer Study on Energy American Council for an Energy Efficient Economy, Asilomar Conference Center, Pacific Grove, CA, August 20-25, 2000
- Country of Publication:
- United States
- Language:
- English
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