Decentralized architectures for thermal control of buildings

Vikas Chandan, Andrew G. Alleyne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations


This paper considers the problem of partitioning a building or any other complex energy system into clusters for its decentralized thermal control. Using a Model Predictive Control (MPC) framework, a measure of deviation in performance between centralized control and decentralized control, called the Optimality Loss Factor (OLF) is derived. For a given partition size, the computationally intractable problem of determining the partition with the smallest OLF is then considered and an agglomerative clustering approach is proposed to overcome the computational limitation. The potential use of this approach to determine decentralized control architectures which yield the best trade-off between the underlying optimality and robustness objectives is demonstrated using an example.

Original languageEnglish (US)
Title of host publication2012 American Control Conference, ACC 2012
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)9781457710957
StatePublished - 2012
Externally publishedYes
Event2012 American Control Conference, ACC 2012 - Montreal, QC, Canada
Duration: Jun 27 2012Jun 29 2012

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2012 American Control Conference, ACC 2012
CityMontreal, QC


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