Predictive control for thermal comfort and energy efficiency in a direct expansion air conditioning system

Jun Mei; Bing Zhu; Xiaohua Xia

doi:10.1109/CAC.2015.7382508

Predictive control for thermal comfort and energy efficiency in a direct expansion air conditioning system

Jun Mei
, Bing Zhu
, Xiaohua Xia

University of Pretoria

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

3 Scopus citations

Abstract

Nowadays, indoor thermal comfort relates closely to both working efficiency of users and energy efficiency of facilities. To achieve an optimal trade-off between working efficiency and energy efficiency, in this paper, a hierarchical model predictive control is proposed for a direct expansion air conditioning (DX A/C) system to control the indoor thermal comfort and energy efficiency simultaneously. The proposed controller is composed by an upper layer optimization to search for the optimal set points, and a lower layer feedback controller such that the optimal set points can be tracked. It can be demonstrated by simulation results that, with the proposed control technique, the closed-loop direct expansion air conditioning system is capable of achieving indoor thermal comfort and energy efficiency simultaneously.

Original language	English
Title of host publication	Proceedings - 2015 Chinese Automation Congress, CAC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	264-269
Number of pages	6
ISBN (Electronic)	9781467371896
DOIs	https://doi.org/10.1109/CAC.2015.7382508
State	Published - 13 Jan 2016
Externally published	Yes
Event	Chinese Automation Congress, CAC 2015 - Wuhan, China Duration: 27 Nov 2015 → 29 Nov 2015

Publication series

Name	Proceedings - 2015 Chinese Automation Congress, CAC 2015

Conference

Conference	Chinese Automation Congress, CAC 2015
Country/Territory	China
City	Wuhan
Period	27/11/15 → 29/11/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

DX A/C system
PMV index
Temperature and humidity
model predictive control

Access to Document

10.1109/CAC.2015.7382508

Cite this

Mei, J., Zhu, B., & Xia, X. (2016). Predictive control for thermal comfort and energy efficiency in a direct expansion air conditioning system. In Proceedings - 2015 Chinese Automation Congress, CAC 2015 (pp. 264-269). Article 7382508 (Proceedings - 2015 Chinese Automation Congress, CAC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAC.2015.7382508

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title = "Predictive control for thermal comfort and energy efficiency in a direct expansion air conditioning system",

abstract = "Nowadays, indoor thermal comfort relates closely to both working efficiency of users and energy efficiency of facilities. To achieve an optimal trade-off between working efficiency and energy efficiency, in this paper, a hierarchical model predictive control is proposed for a direct expansion air conditioning (DX A/C) system to control the indoor thermal comfort and energy efficiency simultaneously. The proposed controller is composed by an upper layer optimization to search for the optimal set points, and a lower layer feedback controller such that the optimal set points can be tracked. It can be demonstrated by simulation results that, with the proposed control technique, the closed-loop direct expansion air conditioning system is capable of achieving indoor thermal comfort and energy efficiency simultaneously.",

keywords = "DX A/C system, PMV index, Temperature and humidity, model predictive control",

author = "Jun Mei and Bing Zhu and Xiaohua Xia",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Chinese Automation Congress, CAC 2015 ; Conference date: 27-11-2015 Through 29-11-2015",

year = "2016",

month = jan,

day = "13",

doi = "10.1109/CAC.2015.7382508",

language = "英语",

series = "Proceedings - 2015 Chinese Automation Congress, CAC 2015",

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

pages = "264--269",

booktitle = "Proceedings - 2015 Chinese Automation Congress, CAC 2015",

address = "美国",

}

Mei, J, Zhu, B & Xia, X 2016, Predictive control for thermal comfort and energy efficiency in a direct expansion air conditioning system. in Proceedings - 2015 Chinese Automation Congress, CAC 2015., 7382508, Proceedings - 2015 Chinese Automation Congress, CAC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 264-269, Chinese Automation Congress, CAC 2015, Wuhan, China, 27/11/15. https://doi.org/10.1109/CAC.2015.7382508

Predictive control for thermal comfort and energy efficiency in a direct expansion air conditioning system. / Mei, Jun; Zhu, Bing; Xia, Xiaohua.
Proceedings - 2015 Chinese Automation Congress, CAC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 264-269 7382508 (Proceedings - 2015 Chinese Automation Congress, CAC 2015).

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

TY - GEN

T1 - Predictive control for thermal comfort and energy efficiency in a direct expansion air conditioning system

AU - Mei, Jun

AU - Zhu, Bing

AU - Xia, Xiaohua

PY - 2016/1/13

Y1 - 2016/1/13

N2 - Nowadays, indoor thermal comfort relates closely to both working efficiency of users and energy efficiency of facilities. To achieve an optimal trade-off between working efficiency and energy efficiency, in this paper, a hierarchical model predictive control is proposed for a direct expansion air conditioning (DX A/C) system to control the indoor thermal comfort and energy efficiency simultaneously. The proposed controller is composed by an upper layer optimization to search for the optimal set points, and a lower layer feedback controller such that the optimal set points can be tracked. It can be demonstrated by simulation results that, with the proposed control technique, the closed-loop direct expansion air conditioning system is capable of achieving indoor thermal comfort and energy efficiency simultaneously.

AB - Nowadays, indoor thermal comfort relates closely to both working efficiency of users and energy efficiency of facilities. To achieve an optimal trade-off between working efficiency and energy efficiency, in this paper, a hierarchical model predictive control is proposed for a direct expansion air conditioning (DX A/C) system to control the indoor thermal comfort and energy efficiency simultaneously. The proposed controller is composed by an upper layer optimization to search for the optimal set points, and a lower layer feedback controller such that the optimal set points can be tracked. It can be demonstrated by simulation results that, with the proposed control technique, the closed-loop direct expansion air conditioning system is capable of achieving indoor thermal comfort and energy efficiency simultaneously.

KW - DX A/C system

KW - PMV index

KW - Temperature and humidity

KW - model predictive control

UR - https://www.scopus.com/pages/publications/84966558980

U2 - 10.1109/CAC.2015.7382508

DO - 10.1109/CAC.2015.7382508

M3 - 会议稿件

AN - SCOPUS:84966558980

T3 - Proceedings - 2015 Chinese Automation Congress, CAC 2015

SP - 264

EP - 269

BT - Proceedings - 2015 Chinese Automation Congress, CAC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Chinese Automation Congress, CAC 2015

Y2 - 27 November 2015 through 29 November 2015

ER -

Predictive control for thermal comfort and energy efficiency in a direct expansion air conditioning system

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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