Empirical and theoretical optimum start algorithms

Abstract

Optimum start algorithms are evaluated using a dynamic simulation model. The performance of empirical algorithms, based on an assumed preheat curve, is compared with theoretical algorithms which rely on a building model. These algorithms are tested for variations in plant sizing ratio and building thermal mass. The parameters used in the empirical algorithms are approximately related to the plant sizing and thermal mass and it is suggested they could be used as concise building monitoring indices. An improved first-order theoretical algorithm is introduced and it is shown how its parameters may be extracted from the building thermal time series. Its performance is comparable with a reliable log (time) empirical algorithm which monitors external as well as internal temperature.

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