A distributed predictive control approach to building temperature regulation

We study the problem of temperature regulation in a network of building thermal zones. The control objective is to keep zone temperatures within a comfort range while consuming the least energy by using predictive knowledge of weather and occupancy. First, we present a simplified two-mass nonlinear...

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Bibliographic Details
Published inProceedings of the 2011 American Control Conference pp. 2089 - 2094
Main Authors Yudong Ma, Anderson, Garrett, Borrelli, Francesco
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
Atmospheric modeling
Computational modeling
Cooling
Load modeling
Optimization
Temperature measurement
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ISBN1457700808
9781457700804
ISSN0743-1619
DOI10.1109/ACC.2011.5991549

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Summary:We study the problem of temperature regulation in a network of building thermal zones. The control objective is to keep zone temperatures within a comfort range while consuming the least energy by using predictive knowledge of weather and occupancy. First, we present a simplified two-mass nonlinear system for modeling thermal zone dynamics. Model identification and validation based on historical measured data are presented. Second, a distributed model-based predictive control (DMPC) is designed for optimal heating and cooling. The DMPC is implemented by using sequential quadratic program and dual decomposition. Simulation results show good performance and computational tractability of the resulting scheme.
ISBN:1457700808
9781457700804
ISSN:0743-1619
DOI:10.1109/ACC.2011.5991549