Model predictive control of building energy systems with balanced model reduction

Jingran MA; S. Joe QIN; Timothy SALSBURY

doi:10.1109/acc.2012.6315516

Model predictive control of building energy systems with balanced model reduction

Jingran MA^*, S. Joe QIN, Timothy SALSBURY

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

24 Citations (Scopus)

Abstract

This paper presents a model reduction method based on balanced realization for thermal and power models of buildings. System identification is firstly performed to obtain high-order state-space models. The purpose of model reduction is to simplify the model structure while preserving the major input-output relations, so as to lower the computational cost in the subsequent model predictive control (MPC) scheme. An economic objective function is designed to minimize the energy and demand charges of building energy systems. The effectiveness of the presented method is shown by simulation, and it is shown that the control performance is not significantly affected by using reduced models. © 2012 AACC American Automatic Control Council).

Original language	English
Title of host publication	2012 American Control Conference (ACC)
Publisher	Institute of Electrical and Electronics Engineers
Pages	3681-3686
Number of pages	6
ISBN (Electronic)	9781457710964
ISBN (Print)	9781457710957
DOIs	https://doi.org/10.1109/acc.2012.6315516
Publication status	Published - Jun 2012
Externally published	Yes
Event	2012 American Control Conference, ACC 2012 - Montreal, Canada Duration: 27 Jun 2012 → 29 Jun 2012

Publication series

Name	Proceedings of the American Control Conference
Publisher	Institute of Electrical and Electronics Engineers
ISSN (Print)	0743-1619
ISSN (Electronic)	2378-5861

Conference

Conference	2012 American Control Conference, ACC 2012
Country/Territory	Canada
City	Montreal
Period	27/06/12 → 29/06/12

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10.1109/acc.2012.6315516

Cite this

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title = "Model predictive control of building energy systems with balanced model reduction",

abstract = "This paper presents a model reduction method based on balanced realization for thermal and power models of buildings. System identification is firstly performed to obtain high-order state-space models. The purpose of model reduction is to simplify the model structure while preserving the major input-output relations, so as to lower the computational cost in the subsequent model predictive control (MPC) scheme. An economic objective function is designed to minimize the energy and demand charges of building energy systems. The effectiveness of the presented method is shown by simulation, and it is shown that the control performance is not significantly affected by using reduced models. {\textcopyright} 2012 AACC American Automatic Control Council).",

author = "Jingran MA and QIN, {S. Joe} and Timothy SALSBURY",

year = "2012",

month = jun,

doi = "10.1109/acc.2012.6315516",

language = "English",

isbn = "9781457710957",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "3681--3686",

booktitle = "2012 American Control Conference (ACC)",

note = "2012 American Control Conference, ACC 2012 ; Conference date: 27-06-2012 Through 29-06-2012",

}

MA, J, QIN, SJ & SALSBURY, T 2012, Model predictive control of building energy systems with balanced model reduction. in 2012 American Control Conference (ACC)., 6315516, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers, pp. 3681-3686, 2012 American Control Conference, ACC 2012, Montreal, Quebec, Canada, 27/06/12. https://doi.org/10.1109/acc.2012.6315516

Model predictive control of building energy systems with balanced model reduction. / MA, Jingran; QIN, S. Joe; SALSBURY, Timothy.
2012 American Control Conference (ACC). Institute of Electrical and Electronics Engineers, 2012. p. 3681-3686 6315516 (Proceedings of the American Control Conference).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

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AB - This paper presents a model reduction method based on balanced realization for thermal and power models of buildings. System identification is firstly performed to obtain high-order state-space models. The purpose of model reduction is to simplify the model structure while preserving the major input-output relations, so as to lower the computational cost in the subsequent model predictive control (MPC) scheme. An economic objective function is designed to minimize the energy and demand charges of building energy systems. The effectiveness of the presented method is shown by simulation, and it is shown that the control performance is not significantly affected by using reduced models. © 2012 AACC American Automatic Control Council).

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DO - 10.1109/acc.2012.6315516

M3 - Conference paper (refereed)

SN - 9781457710957

T3 - Proceedings of the American Control Conference

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BT - 2012 American Control Conference (ACC)

PB - Institute of Electrical and Electronics Engineers

T2 - 2012 American Control Conference, ACC 2012

Y2 - 27 June 2012 through 29 June 2012

ER -

Model predictive control of building energy systems with balanced model reduction

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