Affiliations 

  • 1 Faculty of Civil Engineering, Universiti Teknologi Malaysia, UTM, Skudai, Johor, Malaysia
  • 2 Department of Mechanical Engineering, University of Sheffield, Sheffield, UK
  • 3 Construction Research Center, Institute of Smart Infrastructure and Innovative Construction, Universiti Teknologi Malaysia, Johor, Malaysia
  • 4 Faculty of Civil Engineering, Universiti Teknologi Malaysia, UTM, Skudai, Johor, Malaysia; Advanced Built and Environment Research (ABER) center, Tehran, Iran
Data Brief, 2016 Dec;9:252-6.
PMID: 27660813 DOI: 10.1016/j.dib.2016.08.042

Abstract

This article presents the datasets which were the results of the study explained in the research paper 'Anti-short-circuit device: a new solution for short-circuiting in windcatcher and improvement of natural ventilation performance' (P. Nejat, J.K. Calautit, M.Z. Abd. Majid, B.R. Hughes, F. Jomehzadeh, 2016) [1] which introduces a new technique to reduce or prevent short-circuiting in a two-sided windcatcher and also lowers the indoor CO2 concentration and improve the ventilation distribution. Here, we provide details of the numerical modeling set-up and data collection method to facilitate reproducibility. The datasets includes indoor airflow, ventilation rates and CO2 concentration data at several points in the flow field. The CAD geometry of the windcatcher models are also included.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.