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© 2002,
Architectural Energy Corporation.
All Rights Reserved.
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 Funded
by California Energy Commission's Public Interest Energy
Research (PIER) Program
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P2-2. Equipment Scheduling and Cycling > Approach
Objectives:
The overall goal
was to develop and demonstrate
fully automated diagnostic
methods for HVAC
equipment using the
NILM technology, with
emphasis on equipment
scheduling and cycling
faults and component
faults that could be
revealed via analysis
of electrical startup
transients. Three
objectives were targeted.
- Detect loads automatically from step changes
and distinguish
among electrical loads at
the motor control
center level.
- Developing algorithms for fully automated
detection of equipment operation (on/off
events) for constant power/constant speed
loads and for variable speed/variable power
loads.
- Investigate fault
detection methods, identify
which faults can
be detected with
the NILM,
and automate detection
of those faults.
Approach:
Algorithm development was based on laboratory
and field testing. Results from the NILM
were compared to conventional submetering
that was installed.
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