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P2-5. Pattern Recognition-Based
FDD > Conclusions
Conclusions:
The diagnostic approach is suitable for periodic
or continuous monitoring. The rule-based algorithms could be implemented in existing building control
systems or component controllers, or used for processing at a central service
center.
Diagnostic rules are now available from this project for automating FDD
for a much broader set of HVAC equipment and systems than previously. These could be used to create a software tool suite that would provide
automated continuous monitoring and diagnostics for most building systems,
helping to alleviate the many undetected problems that persist in commercial
buildings.
Commercialization
potential:
Architectural Energy Corporation is exploring
adding these diagnostics,
as well as others
from its ENFORMA
HVAC Analyzer software,
into a web-based
diagnostic service. The
web-based service
will be available for licensing
by third-party application
service providers
or as a service directly
from AEC.
Recommendations:
Additional research on the effect of sensor
calibration and sensor placement is needed
to understand the impact of these factors
on false alarms and missed faults.
Additional research is needed to develop
a method to detect
short-term anomalous chiller
behavior.
Benefits to California:
Based on new data regarding the characteristics
of California building stock and statewide
energy use, the projected benefits of this
project are updated as follows:
Updated Baseline:
The original baseline conditions and projected
outcome were based on national estimates
because there was no reliable data for California
as a whole. During the course of the Program,
the Commission has established a data set
for California from which the original estimates
can be improved. See Appendix I.
The original estimate was based on applying diagnostic methods to all types
of HVAC equipment and components. The diagnostics selected during work
on Project 2.5 apply only to central plant equipment components including
chillers, boilers, condenser water pumps, chilled water pumps, and cooling
tower pumps and fans. The statewide electric energy consumption of these
components was estimated to be 6,030 GWh and 3,592 MW peak demand in Year
2000.
Updated Outcomes:
Large buildings with central plants are typically
controlled with building
automation systems.
These systems have
supervisory computers
that can host diagnostic
methods documented
in Project 2.5. Central
systems are installed
in larger facilities,
such as large office
buildings. Applying
the diagnostic methods
to 50% of the large
office, college, and
hospital buildings
in California within the
next 10 years, should
result in savings of
at least 123 GWh/yr.
There are other building
types that have central
plants, and the methods
are likely to be
applied to those facilities
as well.
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