LES analysis of turbulent fluctuation in cross-ventilation flow in highly-dense urban areas

被引:24
作者
Shirzadi, Mohammadreza [1 ]
Mirzaei, Parham A. [2 ]
Tominaga, Yoshihide [1 ]
机构
[1] Niigata Inst Technol, Wind & Fluid Engn Res Ctr, Kashiwazaki, Japan
[2] Univ Nottingham, Architecture & Built Environm Dept, Nottingham, England
关键词
Computational fluid dynamics; Cross-ventilation; Transient airflow rate; Large eddy simulation; Dense urban area; Airflow rate definition;
D O I
10.1016/j.jweia.2020.104494
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Cross-ventilation flow in buildings is dominantly impacted by the characteristics of their surrounding built environment, specifically in highly-dense urban areas. Cross-ventilation in highly-dense urban configurations is studied using validated computational fluid dynamics models using the large eddy simulation approach. Mean flow properties, turbulent statistics, wind pressure, and crossing airflow rate are compared against different planar area ratios of 0 <= lambda(p) <= 0:6 and approaching wind angles of 0 degrees <= alpha <= 90 degrees for a generic building model surrounded by nine identical building models. The transient airflow rate is analyzed considering different airflow definitions based on the time-averaged and fluctuating velocity decomposition. It is found that the difference between the time-averaged and instantaneous airflow rate is not negligible in a highly-dense urban configuration where the velocity is generally weak, but the flow direction is highly fluctuating. Furthermore, it is shown that time averaged airflow rate calculations are not suitable for accurate prediction of cross-ventilation in sheltered buildings in medium and highly-dense urban configurations; this is because of the averaging procedure cancels out the velocity fluctuation and periodic flows through the openings. Moreover, it is proposed that the accumulative instantaneous ventilation rate can be more suitable for airflow rate calculations as it includes the instantaneous airflow exchanges.
引用
收藏
页数:15
相关论文
共 98 条
  • [21] Wind-driven cross ventilation in long buildings
    Chu, Chia-Ren
    Chiang, Bo-Fan
    [J]. BUILDING AND ENVIRONMENT, 2014, 80 : 150 - 158
  • [22] Natural ventilation potential for residential buildings in a densely built-up and highly polluted environment. A case study
    Costanzo, Vincenzo
    Yao, Runming
    Xu, Tiantian
    Xiong, Jie
    Zhang, Qiulei
    Li, Baizhan
    [J]. RENEWABLE ENERGY, 2019, 138 : 340 - 353
  • [23] Data-driven model for cross ventilation potential in high-density cities based on coupled CFD simulation and machine learning
    Ding, Chao
    Lam, Khee Poh
    [J]. BUILDING AND ENVIRONMENT, 2019, 165
  • [24] An Evaluation Index for Cross Ventilation Based on CFD Simulations and Ventilation Prediction Model Using Machine Learning algorithms
    Ding, Chao
    Lam, Khee Poh
    Feng, Wei
    [J]. 10TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATION AND AIR CONDITIONING, ISHVAC2017, 2017, 205 : 2948 - 2955
  • [25] Franke J., 2010, 5 INT S COMP WIND EN
  • [26] Gao X., 2016, PLoS One, V11
  • [27] Gerasimov A., 2016, QUICK GUIDE SETTING
  • [28] Field measurement of natural ventilation rate in an idealised full-scale building located in a staggered urban array: Comparison between tracer gas and pressure-based methods
    Gough, H. L.
    Luo, Z.
    Halios, C. H.
    King, M. -F.
    Noakes, C. J.
    Grimmond, C. S. B.
    Barlow, J. F.
    Hoxey, R.
    Quinn, A. D.
    [J]. BUILDING AND ENVIRONMENT, 2018, 137 : 246 - 256
  • [29] Grimmond CSB, 1999, J APPL METEOROL, V38, P1262, DOI 10.1175/1520-0450(1999)038<1262:APOUAD>2.0.CO
  • [30] 2