Energy efficient HVAC system with distributed sensing and control

Cheng Li; Zhenjiang Li; Mo Li; Forrest Meggers; Arno Schlueter; Hock Beng Lim

doi:10.1109/ICDCS.2014.51

Energy efficient HVAC system with distributed sensing and control

Cheng Li, Zhenjiang Li, Mo Li, Forrest Meggers, Arno Schlueter, Hock Beng Lim

Andlinger Center for Energy & the Environment

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

7 Scopus citations

Abstract

This paper presents our implementation experience in building an energy efficient HVAC system for cooling and air conditioning. The system exercises the 'low exergy' theory and leverages high temperature water (18°C) cooling for better energy efficiency. In order to achieve this, the system decomposes the cooling and dehumidification functionalities, and employs decentralized air control for on-demand dehumidification and ventilation. The system comprises two control modules, namely, radiant cooling module and distributed ventilation module, cooperating with each other to provide the HVAC control. Abundant sensors and embedded control devices are customized and instrumented, and we develop a wireless sensor network to support control data exchange among those devices. Our experimental evaluation demonstrates that the system achieves accurate control targets and promptly responses to environment dynamics. The wireless sensor network effectively supports the system needs with long system lifespan. Compared with traditional HVAC systems, our system is of much higher energy efficiency, as measured by the standard Coefficient of Performance (COP) metric.

Original language	English (US)
Title of host publication	Proceedings - International Conference on Distributed Computing Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	429-438
Number of pages	10
ISBN (Electronic)	9781479951680
DOIs	https://doi.org/10.1109/ICDCS.2014.51
State	Published - Aug 29 2014
Event	2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014 - Madrid, Spain Duration: Jun 30 2014 → Jul 3 2014

Publication series

Name	Proceedings - International Conference on Distributed Computing Systems

Conference

Conference	2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014
Country/Territory	Spain
City	Madrid
Period	6/30/14 → 7/3/14

All Science Journal Classification (ASJC) codes

Software
Hardware and Architecture
Computer Networks and Communications

Keywords

Distributed control
Energy efficiency
HVAC
Wireless Sensing

Access to Document

10.1109/ICDCS.2014.51

Cite this

Li, C., Li, Z., Li, M., Meggers, F., Schlueter, A., & Lim, H. B. (2014). Energy efficient HVAC system with distributed sensing and control. In Proceedings - International Conference on Distributed Computing Systems (pp. 429-438). Article 6888919 (Proceedings - International Conference on Distributed Computing Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS.2014.51

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title = "Energy efficient HVAC system with distributed sensing and control",

abstract = "This paper presents our implementation experience in building an energy efficient HVAC system for cooling and air conditioning. The system exercises the 'low exergy' theory and leverages high temperature water (18°C) cooling for better energy efficiency. In order to achieve this, the system decomposes the cooling and dehumidification functionalities, and employs decentralized air control for on-demand dehumidification and ventilation. The system comprises two control modules, namely, radiant cooling module and distributed ventilation module, cooperating with each other to provide the HVAC control. Abundant sensors and embedded control devices are customized and instrumented, and we develop a wireless sensor network to support control data exchange among those devices. Our experimental evaluation demonstrates that the system achieves accurate control targets and promptly responses to environment dynamics. The wireless sensor network effectively supports the system needs with long system lifespan. Compared with traditional HVAC systems, our system is of much higher energy efficiency, as measured by the standard Coefficient of Performance (COP) metric.",

keywords = "Distributed control, Energy efficiency, HVAC, Wireless Sensing",

author = "Cheng Li and Zhenjiang Li and Mo Li and Forrest Meggers and Arno Schlueter and Lim, {Hock Beng}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014 ; Conference date: 30-06-2014 Through 03-07-2014",

year = "2014",

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doi = "10.1109/ICDCS.2014.51",

language = "English (US)",

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Li, C, Li, Z, Li, M, Meggers, F, Schlueter, A & Lim, HB 2014, Energy efficient HVAC system with distributed sensing and control. in Proceedings - International Conference on Distributed Computing Systems., 6888919, Proceedings - International Conference on Distributed Computing Systems, Institute of Electrical and Electronics Engineers Inc., pp. 429-438, 2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014, Madrid, Spain, 6/30/14. https://doi.org/10.1109/ICDCS.2014.51

Energy efficient HVAC system with distributed sensing and control. / Li, Cheng; Li, Zhenjiang; Li, Mo et al.
Proceedings - International Conference on Distributed Computing Systems. Institute of Electrical and Electronics Engineers Inc., 2014. p. 429-438 6888919 (Proceedings - International Conference on Distributed Computing Systems).

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

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AU - Li, Zhenjiang

AU - Li, Mo

AU - Meggers, Forrest

AU - Schlueter, Arno

AU - Lim, Hock Beng

PY - 2014/8/29

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N2 - This paper presents our implementation experience in building an energy efficient HVAC system for cooling and air conditioning. The system exercises the 'low exergy' theory and leverages high temperature water (18°C) cooling for better energy efficiency. In order to achieve this, the system decomposes the cooling and dehumidification functionalities, and employs decentralized air control for on-demand dehumidification and ventilation. The system comprises two control modules, namely, radiant cooling module and distributed ventilation module, cooperating with each other to provide the HVAC control. Abundant sensors and embedded control devices are customized and instrumented, and we develop a wireless sensor network to support control data exchange among those devices. Our experimental evaluation demonstrates that the system achieves accurate control targets and promptly responses to environment dynamics. The wireless sensor network effectively supports the system needs with long system lifespan. Compared with traditional HVAC systems, our system is of much higher energy efficiency, as measured by the standard Coefficient of Performance (COP) metric.

AB - This paper presents our implementation experience in building an energy efficient HVAC system for cooling and air conditioning. The system exercises the 'low exergy' theory and leverages high temperature water (18°C) cooling for better energy efficiency. In order to achieve this, the system decomposes the cooling and dehumidification functionalities, and employs decentralized air control for on-demand dehumidification and ventilation. The system comprises two control modules, namely, radiant cooling module and distributed ventilation module, cooperating with each other to provide the HVAC control. Abundant sensors and embedded control devices are customized and instrumented, and we develop a wireless sensor network to support control data exchange among those devices. Our experimental evaluation demonstrates that the system achieves accurate control targets and promptly responses to environment dynamics. The wireless sensor network effectively supports the system needs with long system lifespan. Compared with traditional HVAC systems, our system is of much higher energy efficiency, as measured by the standard Coefficient of Performance (COP) metric.

KW - Distributed control

KW - Energy efficiency

KW - HVAC

KW - Wireless Sensing

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Li C, Li Z, Li M, Meggers F, Schlueter A, Lim HB. Energy efficient HVAC system with distributed sensing and control. In Proceedings - International Conference on Distributed Computing Systems. Institute of Electrical and Electronics Engineers Inc. 2014. p. 429-438. 6888919. (Proceedings - International Conference on Distributed Computing Systems). doi: 10.1109/ICDCS.2014.51

Energy efficient HVAC system with distributed sensing and control

Abstract

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All Science Journal Classification (ASJC) codes

Keywords

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