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Content Provider | IEEE Xplore Digital Library |
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Author | Goyal, S. Barooah, P. |
Copyright Year | 2011 |
Description | Author affiliation: Dept. of Mech. & Aerosp. Eng., Univ. of Florida, Gainesville, FL, USA (Goyal, S.; Barooah, P.) |
Abstract | We propose a method for model-reduction of a class of non-linear models that are relevant to modeling thermal dynamics of multi-zone buildings. These models can have large state-space dimension even for a moderate number of zones. Reduced order models of building thermal dynamics can be useful to model-based control for improving energy efficiency, especially to computationally intensive ones such as Model Predictive Control (MPC). Although there are a number of well-developed techniques for model reduction of LTI systems, the same cannot be said about non-linear systems. The method we propose exploits the linear portion of the model to compute a transformation (by using balanced realization) and a specific sparsity pattern of the non-linear portion to obtain the reduced order model. Simulations are presented with a four zone building model, which show that the prediction of the zone temperatures and humidity ratios by the reduced model is quite close to that from the full-scale model, even when substantial reduction of model order is specified. |
Sponsorship | Control Syst. Soc. |
Starting Page | 2077 |
Ending Page | 2082 |
File Size | 226420 |
Page Count | 6 |
File Format | |
ISBN | 9781457700804 |
ISSN | 07431619 |
e-ISBN | 9781457700811 |
DOI | 10.1109/ACC.2011.5991461 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-06-29 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | American Automatic Control Council(AACC) |
Subject Keyword | Buildings Atmospheric modeling Computational modeling Humidity Predictive models Reduced order systems Mathematical model |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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