Development of supervisory control strategy for online control of central cooling water systems

Shengwei Wang; Zhenjun Ma; Xinhua Xu

Development of supervisory control strategy for online control of central cooling water systems

Shengwei Wang
, Zhenjun Ma
, Xinhua Xu

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 Citations (Scopus)

Abstract

This paper presents a model-based supervisory control strategy for online control of building central cooling water systems to enhance their energy efficiency. Simplified chiller and cooling tower models are developed and used to predict the system energy performance, environment quality as well as the system response to the changes of control settings. A novel and simple optimization technique, named as PMES method, is developed and used to seek the optimal control settings under the given working conditions. The performance of both simplified models is validated using the field measurement data and/or the factory performance test data while the performance of this model-based supervisory control strategy is evaluated by comparing with that of near optimal control strategies and other conventional control strategies for cooling water systems through simulations. The implementation issues of the supervisory control strategy for practical applications are also presented.

Original language	English
Title of host publication	IBPSA 2007 - International Building Performance Simulation Association 2007
Pages	1319-1326
Number of pages	8
Publication status	Published - 1 Dec 2007
Event	Building Simulation 2007, BS 2007 - Beijing, China Duration: 3 Sept 2007 → 6 Sept 2007

Conference

Conference	Building Simulation 2007, BS 2007
Country/Territory	China
City	Beijing
Period	3/09/07 → 6/09/07

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Energy efficiency
Optimization method
Simplified model
Supervisory control

ASJC Scopus subject areas

Computer Science Applications
Building and Construction
Architecture
Modelling and Simulation

Cite this

@inproceedings{38409a04e94c48ef960d35abad3fb90d,

title = "Development of supervisory control strategy for online control of central cooling water systems",

abstract = "This paper presents a model-based supervisory control strategy for online control of building central cooling water systems to enhance their energy efficiency. Simplified chiller and cooling tower models are developed and used to predict the system energy performance, environment quality as well as the system response to the changes of control settings. A novel and simple optimization technique, named as PMES method, is developed and used to seek the optimal control settings under the given working conditions. The performance of both simplified models is validated using the field measurement data and/or the factory performance test data while the performance of this model-based supervisory control strategy is evaluated by comparing with that of near optimal control strategies and other conventional control strategies for cooling water systems through simulations. The implementation issues of the supervisory control strategy for practical applications are also presented.",

keywords = "Energy efficiency, Optimization method, Simplified model, Supervisory control",

author = "Shengwei Wang and Zhenjun Ma and Xinhua Xu",

year = "2007",

month = dec,

day = "1",

language = "English",

pages = "1319--1326",

booktitle = "IBPSA 2007 - International Building Performance Simulation Association 2007",

note = "Building Simulation 2007, BS 2007 ; Conference date: 03-09-2007 Through 06-09-2007",

}

Development of supervisory control strategy for online control of central cooling water systems. / Wang, Shengwei; Ma, Zhenjun; Xu, Xinhua.
IBPSA 2007 - International Building Performance Simulation Association 2007. 2007. p. 1319-1326.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Development of supervisory control strategy for online control of central cooling water systems

AU - Wang, Shengwei

AU - Ma, Zhenjun

AU - Xu, Xinhua

PY - 2007/12/1

Y1 - 2007/12/1

N2 - This paper presents a model-based supervisory control strategy for online control of building central cooling water systems to enhance their energy efficiency. Simplified chiller and cooling tower models are developed and used to predict the system energy performance, environment quality as well as the system response to the changes of control settings. A novel and simple optimization technique, named as PMES method, is developed and used to seek the optimal control settings under the given working conditions. The performance of both simplified models is validated using the field measurement data and/or the factory performance test data while the performance of this model-based supervisory control strategy is evaluated by comparing with that of near optimal control strategies and other conventional control strategies for cooling water systems through simulations. The implementation issues of the supervisory control strategy for practical applications are also presented.

AB - This paper presents a model-based supervisory control strategy for online control of building central cooling water systems to enhance their energy efficiency. Simplified chiller and cooling tower models are developed and used to predict the system energy performance, environment quality as well as the system response to the changes of control settings. A novel and simple optimization technique, named as PMES method, is developed and used to seek the optimal control settings under the given working conditions. The performance of both simplified models is validated using the field measurement data and/or the factory performance test data while the performance of this model-based supervisory control strategy is evaluated by comparing with that of near optimal control strategies and other conventional control strategies for cooling water systems through simulations. The implementation issues of the supervisory control strategy for practical applications are also presented.

KW - Energy efficiency

KW - Optimization method

KW - Simplified model

KW - Supervisory control

UR - https://www.scopus.com/pages/publications/84869818130

M3 - Conference article published in proceeding or book

SP - 1319

EP - 1326

BT - IBPSA 2007 - International Building Performance Simulation Association 2007

T2 - Building Simulation 2007, BS 2007

Y2 - 3 September 2007 through 6 September 2007

ER -

Development of supervisory control strategy for online control of central cooling water systems

Abstract

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

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