Abstract
This paper describes a method for estimation of continuous-time models for the heat dynamics of buildings based on discrete-time building performance data. The parameters in the continuous-time model are estimated by the maximum likelihood method where a Kalman filter is used in calculating the likelihood function. The modeling procedure is illustrated by using measurements from an experiment where the heat input from electrical heaters is controlled by a pseudorandom binary signal. For the considered building a rather simple model containing two time constants is found adequate. Owing to the continuous-time formulation the parameters of the model are directly physically interpretable. The performance of the model for both forecasting and simulation is illustrated.
Original language | English |
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Journal | Energy and Buildings |
Volume | 22 |
Issue number | 1 |
Pages (from-to) | 67-79 |
ISSN | 0378-7788 |
DOIs | |
Publication status | Published - 1995 |