张腾飞

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:美国普渡大学

学位:博士

所在单位:土木工程系

学科:供热、供燃气、通风及空调工程

办公地点:综合实验四号楼425-1室

联系方式:0411-84706279

电子邮箱:tzhang@dlut.edu.cn

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An adjustment to the standard temperature wall function for CFD modeling of indoor convective heat transfer

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论文类型:期刊论文

发表时间:2013-10-01

发表刊物:BUILDING AND ENVIRONMENT

收录刊物:SCIE、EI、Scopus

卷号:68

页面范围:159-169

ISSN号:0360-1323

关键字:Convective heat transfer; CFD; Wall function; Adjustment; Near-wall modeling

摘要:Computational fluid dynamics (CFD) has become a popular tool for investigating indoor convective heat transfer. Two methods are used for dealing with the convective heat transfer of walls in CFD. One is to apply wall functions, and the other is to implement near-wall modeling by generating sufficiently fine mesh in the boundary layer. The former method is very simple; however, it may not be applicable to indoor environments. The latter method is generally more accurate but requires a significant number of grid mesh to capture the viscous boundary sublayer. This investigation proposes to tune the wall Prandtl number to modify the standard temperature wall function for applicability to indoor convective heat transfer modeling. The adjustment attempts to obtain convective heat transfer coefficients of walls that match those provided by the correlation formulas. Because the variation of the convective heat transfer coefficients with the wall Prandtl number is nonlinear, it is necessary to repeat the CFD simulations by following the developed procedure. The proposed method has been applied to model both heat transfer and flow motion in a mixing ventilation mode and an under-floor displacement ventilation mode, respectively. The results reveal that the adjusted temperature wall function is able to solve accurately indoor convective heat transfer with a moderate grid number. The standard temperature wall function with the default wall Prandtl number yields an unacceptable temperature distribution; hence, it is not appropriate for indoor convective heat transfer modeling. (c) 2013 Elsevier Ltd. All rights reserved.