Decentralized architectures for thermal control of buildings

Vikas Chandan; Andrew G. Alleyne

doi:10.1109/acc.2012.6315599

Decentralized architectures for thermal control of buildings

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2012 American Control Conference, ACC 2012
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3657-3662
Number of pages	6
ISBN (Print)	9781457710957
DOIs	https://doi.org/10.1109/acc.2012.6315599
State	Published - 2012
Event	2012 American Control Conference, ACC 2012 - Montreal, QC, Canada Duration: Jun 27 2012 → Jun 29 2012

Publication series

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

Other

Other	2012 American Control Conference, ACC 2012
Country	Canada
City	Montreal, QC
Period	6/27/12 → 6/29/12

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/acc.2012.6315599

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Chandan, V & Alleyne, AG 2012, Decentralized architectures for thermal control of buildings. in 2012 American Control Conference, ACC 2012., 6315599, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 3657-3662, 2012 American Control Conference, ACC 2012, Montreal, QC, Canada, 6/27/12. https://doi.org/10.1109/acc.2012.6315599

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