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

• Published in: Data in Brief
• Main Author: Wang W.; Ikegaya N.; Hirose C.; Mohamad M.F.
• Format: Data paper
• Language: English
• Published: Elsevier Inc. 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178589629&doi=10.1016%2fj.dib.2023.109856&partnerID=40&md5=d1468de373ba04d28c9613cdce88d306

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 10,000 Hz and particle image velocimetry (PIV) with 1000 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. © 2023 The Author(s)