Indoor flow datasets of two-layered cross-ventilation models by particle image velocimetry and hot wire anemometry

• Published in: DATA IN BRIEF
• Main Authors: Wang, W.; Ikegaya, N.; Hirose, C.; Mohamad, M. F.
• Format: Article
• Language: English
• Published: ELSEVIER 2024
• Subjects: Science & Technology - Other Topics
• Online Access: https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001135004100001

This data article provides temporally and spatially high resolution datasets of the indoor velocity fields for cross ventilation models of two-layered simplified buildings separated by a second floor at the middle height with an opening using wind-tunnel experiments. The datasets are based on the research article entitled Quantifying natural cross ventilation flow of a two-layered model used for terraced houses in tropical zones by particle image velocimetry by Ali et al. [1] . Two cases are considered based on the positions of the inlet and outlet openings on each floor. The measurements were conducted using hot-wire anemometry (HWA) with 10,0 0 0 Hz and particle image velocimetry (PIV) with 10 0 0 Hz for a sufficiently long period to determine reliable statistics of the mean, variances, and covariances. In addition, the article provides the instantaneous datasets of two velocity components determined by PIV for the cross ventilation models. The datasets can be used for both computational fluid dynamics (CFD) validation and further investigation of turbulent flow nature of the multi-layer cross ventilation flow.(c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )