DocumentCode :
3171234
Title :
Study on indoor local dynamic thermal comfort models and optimizing control strategy
Author :
Chun-cheng, Zhang ; Chen Xiang-Quang ; Yuan-qing, Xu
Author_Institution :
Sch. of Chem. Eng. & Environ., Beijing Inst. of Technol., Beijing, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
648
Lastpage :
652
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.
Keywords :
HVAC; computational fluid dynamics; employee welfare; occupational health; office environment; optimal control; personnel; CFD software; energy efficiency; health; indoor local dynamic thermal comfort models; office; optimizing control strategy; work efficiency; Atmospheric modeling; Buildings; Humans; Predictive models; Temperature; Wind speed; HVAC; PMV index; dynamic model; optimizing control method; thermal comfort;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Dengleng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6010445
Filename :
6010445
Link To Document :
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