Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34611
Title: Coupling CFD and human body thermoregulation model for the assessment of personalized ventilation
Authors: Gao, N
Niu, J 
Zhang, H
Issue Date: 2006
Publisher: Taylor & Francis
Source: HVAC&R research, 2006, v. 12, no. 3, p. 497-518 How to cite?
Journal: HVAC&R research
Abstract: Personalized ventilation has great potential to improve inhaled air quality and to accommodate individual thermal preferences. In order to quantify these perceived benefits, a numerical method has been developed. In this method, a numerical thermal manikin (NTM), with the real geometry of a human body, is obtained by employing a laser scanning technique. When placed in a virtual environment, the thermal interactions with the environment are calculated using computational fluid dynamics (CFD). By iteration, the calculated air velocity near the body surface is fed into a sophisticated thermoregulation model developed at the University of California, Berkeley, so that the local thermal comfort in a non-uniform environment created by personalized air (PA) is rigorously investigated. In this paper, the performances of three different PV systems are investigated, namely, the desk-edge-based PV, PV using a movable panel (MP), and chair-based PV. The results exhibit reasonable agreement with the experimental measurements. The three types of PV are all able to lower human exposure to ambient room pollutants and bring a “cool head” thermal condition favorable for thermal comfort. The present work illustrates that in the development of localized personal environmental control systems, an NTM coupled with a human-body thermal regulation model is a useful tool for visualizing thermal comfort and ventilation effectiveness.
URI: http://hdl.handle.net/10397/34611
ISSN: 1078-9669 (print)
1938-5587 (online)
DOI: 10.1080/10789669.2006.10391191
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

WEB OF SCIENCETM
Citations

16
Last Week
0
Last month
Citations as of Jun 23, 2017

Page view(s)

25
Last Week
0
Last month
Checked on Jun 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.