A decentralized ordinal optimization for energy saving of an HVAC system

Luping Zhuang; Xi Chen; Xiaohong Guan

doi:10.1109/ACC.2016.7524981

A decentralized ordinal optimization for energy saving of an HVAC system

Luping Zhuang
, Xi Chen
, Xiaohong Guan

Faculty of Electronic and Information Engineering

Tsinghua University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

In this paper, besides considering the energy saving of an HVAC system, we consider to improve the satisfaction of the human comfort, such as temperature, humidity and carbon dioxide concentration. A decentralized method based on OO (ordinal optimization) is proposed to search for a good enough control strategy of the HVAC system. As it is hard to solve this problem in a centralized way, we divide the whole HVAC system into several subsystems. By using the ordinal optimization approach, each subsystem obtains its local good enough control strategy with local information. The good enough control strategy for the whole system can be then obtained by exchanging information among the neighbor subsystems. Numerical results demonstrate the efficiency and effectiveness of the proposed decentralized ordinal optimization method compared with the centralized optimization method.

Original language	English
Title of host publication	2016 American Control Conference, ACC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	611-616
Number of pages	6
ISBN (Electronic)	9781467386821
DOIs	https://doi.org/10.1109/ACC.2016.7524981
State	Published - 28 Jul 2016
Event	2016 American Control Conference, ACC 2016 - Boston, United States Duration: 6 Jul 2016 → 8 Jul 2016

Publication series

Name	Proceedings of the American Control Conference
Volume	2016-July
ISSN (Print)	0743-1619

Conference

Conference	2016 American Control Conference, ACC 2016
Country/Territory	United States
City	Boston
Period	6/07/16 → 8/07/16

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10.1109/ACC.2016.7524981

Cite this

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title = "A decentralized ordinal optimization for energy saving of an HVAC system",

abstract = "In this paper, besides considering the energy saving of an HVAC system, we consider to improve the satisfaction of the human comfort, such as temperature, humidity and carbon dioxide concentration. A decentralized method based on OO (ordinal optimization) is proposed to search for a good enough control strategy of the HVAC system. As it is hard to solve this problem in a centralized way, we divide the whole HVAC system into several subsystems. By using the ordinal optimization approach, each subsystem obtains its local good enough control strategy with local information. The good enough control strategy for the whole system can be then obtained by exchanging information among the neighbor subsystems. Numerical results demonstrate the efficiency and effectiveness of the proposed decentralized ordinal optimization method compared with the centralized optimization method.",

author = "Luping Zhuang and Xi Chen and Xiaohong Guan",

note = "Publisher Copyright: {\textcopyright} 2016 American Automatic Control Council (AACC).; 2016 American Control Conference, ACC 2016 ; Conference date: 06-07-2016 Through 08-07-2016",

year = "2016",

month = jul,

day = "28",

doi = "10.1109/ACC.2016.7524981",

language = "英语",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "611--616",

booktitle = "2016 American Control Conference, ACC 2016",

}

Zhuang, L, Chen, X & Guan, X 2016, A decentralized ordinal optimization for energy saving of an HVAC system. in 2016 American Control Conference, ACC 2016., 7524981, Proceedings of the American Control Conference, vol. 2016-July, Institute of Electrical and Electronics Engineers Inc., pp. 611-616, 2016 American Control Conference, ACC 2016, Boston, United States, 6/07/16. https://doi.org/10.1109/ACC.2016.7524981

A decentralized ordinal optimization for energy saving of an HVAC system. / Zhuang, Luping; Chen, Xi; Guan, Xiaohong.
2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 611-616 7524981 (Proceedings of the American Control Conference; Vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A decentralized ordinal optimization for energy saving of an HVAC system

AU - Zhuang, Luping

AU - Chen, Xi

AU - Guan, Xiaohong

PY - 2016/7/28

Y1 - 2016/7/28

N2 - In this paper, besides considering the energy saving of an HVAC system, we consider to improve the satisfaction of the human comfort, such as temperature, humidity and carbon dioxide concentration. A decentralized method based on OO (ordinal optimization) is proposed to search for a good enough control strategy of the HVAC system. As it is hard to solve this problem in a centralized way, we divide the whole HVAC system into several subsystems. By using the ordinal optimization approach, each subsystem obtains its local good enough control strategy with local information. The good enough control strategy for the whole system can be then obtained by exchanging information among the neighbor subsystems. Numerical results demonstrate the efficiency and effectiveness of the proposed decentralized ordinal optimization method compared with the centralized optimization method.

AB - In this paper, besides considering the energy saving of an HVAC system, we consider to improve the satisfaction of the human comfort, such as temperature, humidity and carbon dioxide concentration. A decentralized method based on OO (ordinal optimization) is proposed to search for a good enough control strategy of the HVAC system. As it is hard to solve this problem in a centralized way, we divide the whole HVAC system into several subsystems. By using the ordinal optimization approach, each subsystem obtains its local good enough control strategy with local information. The good enough control strategy for the whole system can be then obtained by exchanging information among the neighbor subsystems. Numerical results demonstrate the efficiency and effectiveness of the proposed decentralized ordinal optimization method compared with the centralized optimization method.

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DO - 10.1109/ACC.2016.7524981

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T3 - Proceedings of the American Control Conference

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BT - 2016 American Control Conference, ACC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 American Control Conference, ACC 2016

Y2 - 6 July 2016 through 8 July 2016

ER -

A decentralized ordinal optimization for energy saving of an HVAC system

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