Study on indoor local dynamic thermal comfort models and optimizing control strategy

Chun Cheng Zhang*, Yuan Qing Xu, Xiang Guang Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

People working indoors often respond very differently to levels of thermal comfort in the office, which is directly related to health and work efficiency. Up to now, the dilemma of thermal comfort for all and energy efficiency in the process remains unsolved. A local dynamic thermal comfort model is established in this paper based on the CFD software. Local parameters are designated and all-around measuring & control system in office designed. An all-around control strategy measuring the index for indoor thermal comfort of different levels is proposed. The experimental results show that the proposed control strategy can meet most people's requirement in office for thermal comfort and reduce energy consumption.

Original languageEnglish
Title of host publication2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings
Pages648-652
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Zhengzhou, China
Duration: 8 Aug 201110 Aug 2011

Publication series

Name2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings

Conference

Conference2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011
Country/TerritoryChina
CityZhengzhou
Period8/08/1110/08/11

Keywords

  • Dynamic model
  • HVAC
  • Optimizing control method
  • PMV index
  • Thermal comfort

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