Indoor mould growth prediction using coupled computational fluid dynamics and mould growth model

This study investigates, using in-situ and numerical simulation experiments, airflow and hygrothermal distribution in a mechanically ventilated academic research facility with known cases of microbial proliferations. Microclimate parameters were obtained from in-situ experiments and used as bound...

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Main Authors:	Oladokun, Majeed Olaide, Ali, Maisarah, Osman, Samsul Bahrin, Zhang, Lin
Format:	Article
Language:	English English English
Published:	Springer Link 2017
Subjects:	TH7005 Heating and ventilation
Online Access:	http://irep.iium.edu.my/55072/ http://irep.iium.edu.my/55072/ http://irep.iium.edu.my/55072/13/55072-Indoor%20mould%20growth%20prediction%20using%20coupled%20computational%20fluid%20dynamics%20and%20mould%20growth%20model.pdf http://irep.iium.edu.my/55072/14/55072-Indoor%20mould%20growth%20prediction%20using%20coupled%20computational%20fluid%20dynamics%20and%20mould%20growth%20model_SCOPUS.pdf http://irep.iium.edu.my/55072/15/55072-Indoor%20mould%20growth%20prediction%20using%20coupled%20computational%20fluid%20dynamics%20and%20mould%20growth%20model_WOS.pdf

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recordtype	eprints
spelling	iium-550722017-07-18T00:23:09Z http://irep.iium.edu.my/55072/ Indoor mould growth prediction using coupled computational fluid dynamics and mould growth model Oladokun, Majeed Olaide Ali, Maisarah Osman, Samsul Bahrin Zhang, Lin TH7005 Heating and ventilation This study investigates, using in-situ and numerical simulation experiments, airflow and hygrothermal distribution in a mechanically ventilated academic research facility with known cases of microbial proliferations. Microclimate parameters were obtained from in-situ experiments and used as boundary conditions and validation of the numerical experiments with a commercial computational fluid dynamics (CFD) analysis tool using the standard k–ε model. Good agreements were obtained with less than 10% deviations between the measured and simulated results. Subsequent upon successful validation, the model was used to investigate hygrothermal and airflow profile within the shelves holding stored components in the facility. The predicted in-shelf hygrothermal profile was superimposed on mould growth limiting curve earlier documented in the literature. Results revealed the growth of xerophilic species in most parts of the shelves. The mould growth prediction was found in correlation with the microbial investigation in the case-studied room reported by the authors elsewhere. Satisfactory prediction of mould growth in the room successfully proved that the CFD simulation can be used to investigate the conditions that lead to microbial growth in the indoor environment. Springer Link 2017 Article PeerReviewed application/pdf en http://irep.iium.edu.my/55072/13/55072-Indoor%20mould%20growth%20prediction%20using%20coupled%20computational%20fluid%20dynamics%20and%20mould%20growth%20model.pdf application/pdf en http://irep.iium.edu.my/55072/14/55072-Indoor%20mould%20growth%20prediction%20using%20coupled%20computational%20fluid%20dynamics%20and%20mould%20growth%20model_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/55072/15/55072-Indoor%20mould%20growth%20prediction%20using%20coupled%20computational%20fluid%20dynamics%20and%20mould%20growth%20model_WOS.pdf Oladokun, Majeed Olaide and Ali, Maisarah and Osman, Samsul Bahrin and Zhang, Lin (2017) Indoor mould growth prediction using coupled computational fluid dynamics and mould growth model. Building Simulation, 10 (4). pp. 551-562. ISSN 1996-3599 E-ISSN 1996-8744 https://link.springer.com/article/10.1007/s12273-016-0343-y
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	TH7005 Heating and ventilation
spellingShingle	TH7005 Heating and ventilation Oladokun, Majeed Olaide Ali, Maisarah Osman, Samsul Bahrin Zhang, Lin Indoor mould growth prediction using coupled computational fluid dynamics and mould growth model
description	This study investigates, using in-situ and numerical simulation experiments, airflow and hygrothermal distribution in a mechanically ventilated academic research facility with known cases of microbial proliferations. Microclimate parameters were obtained from in-situ experiments and used as boundary conditions and validation of the numerical experiments with a commercial computational fluid dynamics (CFD) analysis tool using the standard k–ε model. Good agreements were obtained with less than 10% deviations between the measured and simulated results. Subsequent upon successful validation, the model was used to investigate hygrothermal and airflow profile within the shelves holding stored components in the facility. The predicted in-shelf hygrothermal profile was superimposed on mould growth limiting curve earlier documented in the literature. Results revealed the growth of xerophilic species in most parts of the shelves. The mould growth prediction was found in correlation with the microbial investigation in the case-studied room reported by the authors elsewhere. Satisfactory prediction of mould growth in the room successfully proved that the CFD simulation can be used to investigate the conditions that lead to microbial growth in the indoor environment.
format	Article
author	Oladokun, Majeed Olaide Ali, Maisarah Osman, Samsul Bahrin Zhang, Lin
author_facet	Oladokun, Majeed Olaide Ali, Maisarah Osman, Samsul Bahrin Zhang, Lin
author_sort	Oladokun, Majeed Olaide
title	Indoor mould growth prediction using coupled computational fluid dynamics and mould growth model
title_short	Indoor mould growth prediction using coupled computational fluid dynamics and mould growth model
title_full	Indoor mould growth prediction using coupled computational fluid dynamics and mould growth model
title_fullStr	Indoor mould growth prediction using coupled computational fluid dynamics and mould growth model
title_full_unstemmed	Indoor mould growth prediction using coupled computational fluid dynamics and mould growth model
title_sort	indoor mould growth prediction using coupled computational fluid dynamics and mould growth model
publisher	Springer Link
publishDate	2017
url	http://irep.iium.edu.my/55072/ http://irep.iium.edu.my/55072/ http://irep.iium.edu.my/55072/13/55072-Indoor%20mould%20growth%20prediction%20using%20coupled%20computational%20fluid%20dynamics%20and%20mould%20growth%20model.pdf http://irep.iium.edu.my/55072/14/55072-Indoor%20mould%20growth%20prediction%20using%20coupled%20computational%20fluid%20dynamics%20and%20mould%20growth%20model_SCOPUS.pdf http://irep.iium.edu.my/55072/15/55072-Indoor%20mould%20growth%20prediction%20using%20coupled%20computational%20fluid%20dynamics%20and%20mould%20growth%20model_WOS.pdf
first_indexed	2023-09-18T21:17:51Z
last_indexed	2023-09-18T21:17:51Z
_version_	1777411683259514880

Indoor mould growth prediction using coupled computational fluid dynamics and mould growth model

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