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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Borggaard, J. Burns, J.A. Surana, A. Zietsman, L. |
| Copyright Year | 2009 |
| Description | Author affiliation: Interdisciplinary Center for Applied Mathematics, Virginia Tech, Blacksburg, USA (Borggaard, J.; Burns, J.A.; Surana, A.) || United Technologies Research Center, Hartford, CT, USA (Zietsman, L.) |
| Abstract | Commercial buildings are responsible for a significant fraction of the energy consumption and greenhouse gas emissions in the U.S. and worldwide. Consequently, the design, optimization and control of energy efficient buildings can have a tremendous impact on energy cost and greenhouse gas emission. Buildings are complex, multi-scale in time and space, multi-physics and highly uncertain dynamic systems with wide varieties of disturbances. Recent results have shown that by considering the whole building as an integrated system and applying modern estimation and control techniques to this system, one can achieve greater efficiencies than obtained by optimizing individual building components such as lighting and HVAC. We consider estimation and control for a distributed parameter model of a multi-room building. In particular, we show that distributed parameter control theory, coupled with high performance computing, can provide insight and computational algorithms for the optimal placement of sensors and actuators to maximize observability and controllability. Numerical examples are provided to illustrate the approach. We also discuss the problems of design and optimization (for energy and CO2 reduction) and control (both local and supervisory) of whole buildings and demonstrate how sensitivities can be used to address these problems. |
| Starting Page | 837 |
| Ending Page | 841 |
| File Size | 715149 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424445233 |
| ISSN | 07431619 |
| DOI | 10.1109/ACC.2009.5160552 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Energy efficiency Buildings Global warming Design optimization High performance computing Energy consumption Cost function Lighting control Control systems Distributed control |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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