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Data on the natural ventilation performance of windcatcher with anti-short-circuit device (ASCD)

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. Jomehza...

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Detalles Bibliográficos
Autores principales: Nejat, Payam, Calautit, John Kaiser, Majid, Muhd Zaimi Abd., Hughes, Ben Richard, Jomehzadeh, Fatemeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5021850/
https://www.ncbi.nlm.nih.gov/pubmed/27660813
http://dx.doi.org/10.1016/j.dib.2016.08.042
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author Nejat, Payam
Calautit, John Kaiser
Majid, Muhd Zaimi Abd.
Hughes, Ben Richard
Jomehzadeh, Fatemeh
author_facet Nejat, Payam
Calautit, John Kaiser
Majid, Muhd Zaimi Abd.
Hughes, Ben Richard
Jomehzadeh, Fatemeh
author_sort Nejat, Payam
collection PubMed
description 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 CO(2) 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 CO(2) concentration data at several points in the flow field. The CAD geometry of the windcatcher models are also included.
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spelling pubmed-50218502016-09-22 Data on the natural ventilation performance of windcatcher with anti-short-circuit device (ASCD) Nejat, Payam Calautit, John Kaiser Majid, Muhd Zaimi Abd. Hughes, Ben Richard Jomehzadeh, Fatemeh Data Brief Data Article 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 CO(2) 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 CO(2) concentration data at several points in the flow field. The CAD geometry of the windcatcher models are also included. Elsevier 2016-08-28 /pmc/articles/PMC5021850/ /pubmed/27660813 http://dx.doi.org/10.1016/j.dib.2016.08.042 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Nejat, Payam
Calautit, John Kaiser
Majid, Muhd Zaimi Abd.
Hughes, Ben Richard
Jomehzadeh, Fatemeh
Data on the natural ventilation performance of windcatcher with anti-short-circuit device (ASCD)
title Data on the natural ventilation performance of windcatcher with anti-short-circuit device (ASCD)
title_full Data on the natural ventilation performance of windcatcher with anti-short-circuit device (ASCD)
title_fullStr Data on the natural ventilation performance of windcatcher with anti-short-circuit device (ASCD)
title_full_unstemmed Data on the natural ventilation performance of windcatcher with anti-short-circuit device (ASCD)
title_short Data on the natural ventilation performance of windcatcher with anti-short-circuit device (ASCD)
title_sort data on the natural ventilation performance of windcatcher with anti-short-circuit device (ascd)
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5021850/
https://www.ncbi.nlm.nih.gov/pubmed/27660813
http://dx.doi.org/10.1016/j.dib.2016.08.042
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