Decentralized architectures for thermal control of buildings

Vikas Chandan, Andrew G. Alleyne

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

Abstract

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
Pages3657-3662
Number of pages6
StatePublished - Nov 26 2012
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

Other

Other2012 American Control Conference, ACC 2012
CountryCanada
CityMontreal, QC
Period6/27/126/29/12

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Chandan, V., & Alleyne, A. G. (2012). Decentralized architectures for thermal control of buildings. In 2012 American Control Conference, ACC 2012 (pp. 3657-3662). [6315599] (Proceedings of the American Control Conference).