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Metered Data Analysis and Knowledge Based Methods that Reduce HVAC Operation and Maintenance Problems
Abstract
Recent reports have highlighted a lower than
expected level of understanding by some consulting
engineers and building operators concerning how to
systematically track operation and maintenance
problems and provide consistent advice for improving
complex systems of the type found in large
commercial buildings. Rarely is mention made of
permanently installing a system capable of
continuously diagnosing problems after the original
analysis is complete (MacDonald and Wasserman, in
preparation).
One system, originally developed at a state
university, student recreation center (Rec Center).
reduces operation and maintenance problems by
analyzing metered consumption data with an expert
system. Several papers and reports have been written
that describe this particular system, called the
Building Energy Analysis Consultant (BEACON) system,
how it was developed, its application to four
complexes, and it possible future directions
(Haberl and Claridge 1987; Haberl et al. 1988).
This paper presents additional information
concerning the BEACON system, including examples of
O&M impacts, a review of the regression analysis
employed in the original BEACON system, a
description of the knowledge acquisition process,
and reports on recent developments to modify and
streamline the statistical analysis. Experiences
with delivering the prototype software to building
administrators and ideas on future directions are
also presented.
Citation
Haberl, J. S.; Smith, L.; Kreider, J. F. (1988). Metered Data Analysis and Knowledge Based Methods that Reduce HVAC Operation and Maintenance Problems. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from https : / /hdl .handle .net /1969 .1 /6514.