4.7 Article

CFD simulation of pumping flow mechanism of an urban building affected by an upstream building in high Reynolds flows

期刊

ENERGY AND BUILDINGS
卷 202, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2019.07.047

关键词

Building blocks; Numerical simulations; Oscillation; pumping wind flow

资金

  1. Natural Science Foundation of China (NSFC) [51778504, U1867221, 51304233, 51208192]
  2. Natural Science Foundation of Shandong Province [ZR2018MEE035]
  3. FundamentalResearchProjectsfromShenzhen Government [JCYJ20160523160857948]
  4. National Key Research and Development Program of the Ministry of Science and Technology of China [2018YFC0705201, 2018YFB090420]

向作者/读者索取更多资源

Pumping flow, which is essentially induced by the periodic vortex shedding, was observed when natural wind blows across a single building with two leeward openings. This oscillating flow has been proposed for use to improve wind ventilation of buildings with single-sided openings. Existing studies are limited to a single building block. In this study, effect of an upstream building on the pumping ventilation is investigated for various obstacle spacings, by Computational Fluid Dynamics (CFD) simulations. Simulation results show that vortex shedding frequencies could be affected by the non-dimensional obstacle spacing W/B (gap distance/building width), whereas non-dimensional ventilation rate of the downstream building shows a non-linear correlation with the obstacle spacing W/B. Particularly, when W/B continuously increases to 2.0, the ventilation rate reaches the level comparable to that of the isolated block case. Further results also demonstrate that the pumping ventilation rates are determined by a combination of mean and fluctuating pressure differences between the leeward openings. The spacing W/B = 2 is the optimal spacing for largest ventilation rate and therefore lowest building energy consumption by Heating, Ventilation and Air Conditioning (HVAC) systems. Our findings could benefit sustainable building design in dense cities. (C) 2019 Elsevier B.V. All rights reserved.

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