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P2-5. Pattern
Based Fault Detection
and Diagnostics > Background
Architecture Energy Corporation developed
the ENFORMAŽ diagnostic system, the first
software tool that supports the user in commissioning
and diagnosing a broad range of problems
in building heating, ventilation, and air
conditioning (HVAC) systems. This tool supports
the user in designing and configuring short-term
metering systems to monitor the performance
of a range of building systems, including
economizers, variable-air volume air handlers,
chiller plants, and cooling towers. It also
supports manual import of data from other
sources, such as control systems. Once the
data are collected, the tool supports the
user with a variety of flexible quality assurance,
aggregation, manipulation, and plotting tools
for data. It contains a library of over 150
plots of good and bad performance for these
systems that can be used for side-by-side
comparisons with the short-term data collected.
This helps the user draw conclusions about
whether the systems are operating correctly,
and, if not, what the problem might be.
The diagnostic capabilities embodied by ENFORMA
are of particular
use to engineers and others
with expertise to
interpret the plots and
draw conclusions
about them. While commissioning
agents and energy
consultants have such expertise,
typical building
operators do not. These
users require more
substantive conclusions
about what is wrong
and what to fix. This
project will automate
the comparisons involved
and present this
information to the user
in the form of simple
conclusions recognizable
at a glance.
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