Energy efficient HVAC system with distributed sensing and control

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 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 languageEnglish (US)
Title of host publicationProceedings - International Conference on Distributed Computing Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages429-438
Number of pages10
ISBN (Electronic)9781479951680
DOIs
StatePublished - Aug 29 2014
Event2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014 - Madrid, Spain
Duration: Jun 30 2014Jul 3 2014

Publication series

NameProceedings - International Conference on Distributed Computing Systems

Conference

Conference2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014
CountrySpain
CityMadrid
Period6/30/147/3/14

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Keywords

  • Distributed control
  • Energy efficiency
  • HVAC
  • Wireless Sensing

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