Indoor microbial growth prediction using coupled computational fluid dynamics and microbial growth models

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...

Full description

Bibliographic Details
Main Authors:	Oladokun, Majeed, Ali, Maisarah, Osman, Samsul Bahrin
Format:	Conference or Workshop Item
Language:	English English English
Published:	2015
Subjects:	TH7005 Heating and ventilation
Online Access:	http://irep.iium.edu.my/46205/ http://irep.iium.edu.my/46205/ http://irep.iium.edu.my/46205/1/APCBE_2015_Paper.pdf http://irep.iium.edu.my/46205/2/APCBE_2015_Conference_Booklet-selected_pages.pdf http://irep.iium.edu.my/46205/3/APCBE_2015_Full_Paper_Acceptance_Email.pdf

id	iium-46205
recordtype	eprints
spelling	iium-462052016-05-23T05:38:33Z http://irep.iium.edu.my/46205/ Indoor microbial growth prediction using coupled computational fluid dynamics and microbial growth models Oladokun, Majeed Ali, Maisarah Osman, Samsul Bahrin 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 CFD analysis tool using the standard k–ε model. The findings revealed good agreements 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 were 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 correlates 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 an indoor environment. Keywords Hygrothermal performance; in-situ experiments; microbial growth prediction; CFD simulation; indoor microclimate. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/46205/1/APCBE_2015_Paper.pdf application/pdf en http://irep.iium.edu.my/46205/2/APCBE_2015_Conference_Booklet-selected_pages.pdf application/pdf en http://irep.iium.edu.my/46205/3/APCBE_2015_Full_Paper_Acceptance_Email.pdf Oladokun, Majeed and Ali, Maisarah and Osman, Samsul Bahrin (2015) Indoor microbial growth prediction using coupled computational fluid dynamics and microbial growth models. In: The 13th Asia Pacific Conference on the Built Environment, 19-20 November 2015, Crowne Plaza Kowloon East Hotel, Hong Kong. http://www.ashrae.org.hk/APCBE2015
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 Ali, Maisarah Osman, Samsul Bahrin Indoor microbial growth prediction using coupled computational fluid dynamics and microbial growth models
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 CFD analysis tool using the standard k–ε model. The findings revealed good agreements 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 were 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 correlates 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 an indoor environment. Keywords Hygrothermal performance; in-situ experiments; microbial growth prediction; CFD simulation; indoor microclimate.
format	Conference or Workshop Item
author	Oladokun, Majeed Ali, Maisarah Osman, Samsul Bahrin
author_facet	Oladokun, Majeed Ali, Maisarah Osman, Samsul Bahrin
author_sort	Oladokun, Majeed
title	Indoor microbial growth prediction using coupled computational fluid dynamics and microbial growth models
title_short	Indoor microbial growth prediction using coupled computational fluid dynamics and microbial growth models
title_full	Indoor microbial growth prediction using coupled computational fluid dynamics and microbial growth models
title_fullStr	Indoor microbial growth prediction using coupled computational fluid dynamics and microbial growth models
title_full_unstemmed	Indoor microbial growth prediction using coupled computational fluid dynamics and microbial growth models
title_sort	indoor microbial growth prediction using coupled computational fluid dynamics and microbial growth models
publishDate	2015
url	http://irep.iium.edu.my/46205/ http://irep.iium.edu.my/46205/ http://irep.iium.edu.my/46205/1/APCBE_2015_Paper.pdf http://irep.iium.edu.my/46205/2/APCBE_2015_Conference_Booklet-selected_pages.pdf http://irep.iium.edu.my/46205/3/APCBE_2015_Full_Paper_Acceptance_Email.pdf
first_indexed	2023-09-18T21:05:46Z
last_indexed	2023-09-18T21:05:46Z
_version_	1777410922844782592

Indoor microbial growth prediction using coupled computational fluid dynamics and microbial growth models

Similar Items