Occupant-location-catered control of IOT-enabled building HVAC systems

Catered control strategies for building HVAC systems, which react to the changing location of an occupant of the building, are studied. A structured Markov Jump-Linear System (MJLS) model is developed which captures the diffusive heat-exchange process in the building, stochastic occupant movement, a...

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Bibliographic Details
Published in2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP) pp. 813 - 817
Main Authors Vosughi, Amirkhosro, Mengran Xue, Roy, Sandip
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2017
Subjects
Buildings
Heating systems
Markov processes
PD control
Stability analysis
Temperature measurement
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Summary:Catered control strategies for building HVAC systems, which react to the changing location of an occupant of the building, are studied. A structured Markov Jump-Linear System (MJLS) model is developed which captures the diffusive heat-exchange process in the building, stochastic occupant movement, and feedback control enacted by the HVAC system. A statistical analysis of the closed-loop dynamics is undertaken, and used to evaluate stability and control performance. The tuning of simple proportional-integral-derivative control schemes to optimize comfort is also discussed, and demonstrated in an example.
DOI:10.1109/GlobalSIP.2017.8309073