Optimized Design of an Advanced Control Scheme for Energy-Efficient Solution Dehumidification Air Conditioning Systems

Zhe Li; Zhuo Wang

doi:10.1109/CSIS-IAC60628.2023.10363911

Optimized Design of an Advanced Control Scheme for Energy-Efficient Solution Dehumidification Air Conditioning Systems

Zhe Li
, Zhuo Wang^*

^*Corresponding author for this work

School of Instrumentation and Optoelectronic Engineering

Beihang University

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

Abstract

Liquid desiccant air-conditioning system is always considered as the future air conditioning system because of its independent temperature and humidity control and high energy efficiency. In this paper, using MATLAB and Simulink as the simulation platform, we design an advance control scheme for Liquid desiccant air-conditioning system. Based on the physical analysis of the Liquid desiccant air-conditioning system, the state space model of the system was established. We also design the decoupling controller and distributed controller for this MIMO system. The distributed controller is selected as PI controller, and the parameters of PI controller are set.

Original language	English
Title of host publication	2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	87-92
Number of pages	6
ISBN (Electronic)	9798350309003
DOIs	https://doi.org/10.1109/CSIS-IAC60628.2023.10363911
State	Published - 2023
Event	2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023 - Shenzhen, China Duration: 20 Oct 2023 → 22 Oct 2023

Publication series

Name	2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023

Conference

Conference	2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023
Country/Territory	China
City	Shenzhen
Period	20/10/23 → 22/10/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Liquid desiccant air-conditioning
MATLAB
Simulink
dynamic model
multiple variable

Access to Document

10.1109/CSIS-IAC60628.2023.10363911

Cite this

Li, Z., & Wang, Z. (2023). Optimized Design of an Advanced Control Scheme for Energy-Efficient Solution Dehumidification Air Conditioning Systems. In 2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023 (pp. 87-92). (2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSIS-IAC60628.2023.10363911

Li, Zhe ; Wang, Zhuo. / Optimized Design of an Advanced Control Scheme for Energy-Efficient Solution Dehumidification Air Conditioning Systems. 2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 87-92 (2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023).

@inproceedings{5cc84be5efd942a3a7678a752f78be9f,

title = "Optimized Design of an Advanced Control Scheme for Energy-Efficient Solution Dehumidification Air Conditioning Systems",

abstract = "Liquid desiccant air-conditioning system is always considered as the future air conditioning system because of its independent temperature and humidity control and high energy efficiency. In this paper, using MATLAB and Simulink as the simulation platform, we design an advance control scheme for Liquid desiccant air-conditioning system. Based on the physical analysis of the Liquid desiccant air-conditioning system, the state space model of the system was established. We also design the decoupling controller and distributed controller for this MIMO system. The distributed controller is selected as PI controller, and the parameters of PI controller are set.",

keywords = "Liquid desiccant air-conditioning, MATLAB, Simulink, dynamic model, multiple variable",

author = "Zhe Li and Zhuo Wang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023 ; Conference date: 20-10-2023 Through 22-10-2023",

year = "2023",

doi = "10.1109/CSIS-IAC60628.2023.10363911",

language = "英语",

series = "2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023",

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

pages = "87--92",

booktitle = "2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023",

address = "美国",

}

Li, Z & Wang, Z 2023, Optimized Design of an Advanced Control Scheme for Energy-Efficient Solution Dehumidification Air Conditioning Systems. in 2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023. 2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023, Institute of Electrical and Electronics Engineers Inc., pp. 87-92, 2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023, Shenzhen, China, 20/10/23. https://doi.org/10.1109/CSIS-IAC60628.2023.10363911

Optimized Design of an Advanced Control Scheme for Energy-Efficient Solution Dehumidification Air Conditioning Systems. / Li, Zhe; Wang, Zhuo.
2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 87-92 (2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023).

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

TY - GEN

T1 - Optimized Design of an Advanced Control Scheme for Energy-Efficient Solution Dehumidification Air Conditioning Systems

AU - Li, Zhe

AU - Wang, Zhuo

PY - 2023

Y1 - 2023

N2 - Liquid desiccant air-conditioning system is always considered as the future air conditioning system because of its independent temperature and humidity control and high energy efficiency. In this paper, using MATLAB and Simulink as the simulation platform, we design an advance control scheme for Liquid desiccant air-conditioning system. Based on the physical analysis of the Liquid desiccant air-conditioning system, the state space model of the system was established. We also design the decoupling controller and distributed controller for this MIMO system. The distributed controller is selected as PI controller, and the parameters of PI controller are set.

AB - Liquid desiccant air-conditioning system is always considered as the future air conditioning system because of its independent temperature and humidity control and high energy efficiency. In this paper, using MATLAB and Simulink as the simulation platform, we design an advance control scheme for Liquid desiccant air-conditioning system. Based on the physical analysis of the Liquid desiccant air-conditioning system, the state space model of the system was established. We also design the decoupling controller and distributed controller for this MIMO system. The distributed controller is selected as PI controller, and the parameters of PI controller are set.

KW - Liquid desiccant air-conditioning

KW - MATLAB

KW - Simulink

KW - dynamic model

KW - multiple variable

UR - https://www.scopus.com/pages/publications/85182729142

U2 - 10.1109/CSIS-IAC60628.2023.10363911

DO - 10.1109/CSIS-IAC60628.2023.10363911

M3 - 会议稿件

AN - SCOPUS:85182729142

T3 - 2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023

SP - 87

EP - 92

BT - 2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023

Y2 - 20 October 2023 through 22 October 2023

ER -

Li Z, Wang Z. Optimized Design of an Advanced Control Scheme for Energy-Efficient Solution Dehumidification Air Conditioning Systems. In 2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 87-92. (2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023). doi: 10.1109/CSIS-IAC60628.2023.10363911

Optimized Design of an Advanced Control Scheme for Energy-Efficient Solution Dehumidification Air Conditioning Systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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