IDENTIFICATION OF BUILDING MODEL PARAMETERS AND LOADS USING ON-SITE DATA LOGS
Thomas L. McKinley, Andrew G. Alleyne
To minimize energy consumption, one must understand a building’s thermal characteristics, usage patterns, and local environment. This information is frequently not known a priori. Although this presents a significant barrier, a system identification procedure combining building simulation and on-site measurements enables the unknowns to be estimated. This paper presents two novel processes for determining time-invariant model parameters and time-varying loads. The computational effort, accuracy, and repeatability are quantified using model generated “on site” data logs for a three story office building. The resulting self-calibrating models are extremely valuable for controls and diagnostic purposes in intelligent building systems.
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