Modelling Ozone Disinfection to Prevent Covid-19 Transmission

Rolland, Sam; Tamaddon-Jahromi, Hamid; Jones, Jason; Coccarelli, Alberto; Sazonov, Igor; Kershaw, Chris; Tizaoui, Chedly; Holliman, Peter; Worsley, David; Thomas, Hywel; Nithiarasu, Perumal

doi:10.1007/978-3-031-11818-0_69

Conference Paper/Proceeding/Abstract 418 views

Modelling Ozone Disinfection to Prevent Covid-19 Transmission

Sam Rolland

, Hamid Tamaddon-Jahromi, Jason Jones

, Alberto Coccarelli

, Igor Sazonov

, Chris Kershaw, Chedly Tizaoui

, Peter Holliman

, David Worsley

, Hywel Thomas

, Perumal Nithiarasu

Mathematics in Industry, Volume: 39, Pages: 535 - 541

Swansea University Authors: Sam Rolland , Hamid Tamaddon-Jahromi, Jason Jones , Alberto Coccarelli , Igor Sazonov , Chris Kershaw, Chedly Tizaoui , Peter Holliman , David Worsley , Hywel Thomas , Perumal Nithiarasu

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DOI (Published version): 10.1007/978-3-031-11818-0_69

Abstract

A modelling approach is proposed to study ozone distribution and destruction in indoor spaces. The level of ozone gas concentration in the air, confined within an indoor space during an ozone-based disinfection process, was modelled. The emission and removal of ozone from the air volume were carried...

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Published in:	Mathematics in Industry
ISBN:	9783031118173 9783031118180
ISSN:	1612-3956 2198-3283
Published:	Cham Springer International Publishing 2012
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa62181
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first_indexed	2022-12-16T08:42:07Z
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spelling	2023-01-10T09:12:20.9779798 v2 62181 2022-12-16 Modelling Ozone Disinfection to Prevent Covid-19 Transmission c14ac34a71e9c058d1d2a353b44a24cd 0000-0003-0455-5620 Sam Rolland Sam Rolland true false b3a1417ca93758b719acf764c7ced1c5 Hamid Tamaddon-Jahromi Hamid Tamaddon-Jahromi true false aa4865d48c53a0df1c1547171826eab9 0000-0002-7715-1857 Jason Jones Jason Jones true false 06fd3332e5eb3cf4bb4e75a24f49149d 0000-0003-1511-9015 Alberto Coccarelli Alberto Coccarelli true false 05a507952e26462561085fb6f62c8897 0000-0001-6685-2351 Igor Sazonov Igor Sazonov true false 712418e62ef36662d4034e102107a1c8 Chris Kershaw Chris Kershaw true false 4b34a0286d3c0b0b081518fa6987031d 0000-0003-2159-7881 Chedly Tizaoui Chedly Tizaoui true false c8f52394d776279c9c690dc26066ddf9 0000-0002-9911-8513 Peter Holliman Peter Holliman true false c426b1c1b0123d7057c1b969083cea69 0000-0002-9956-6228 David Worsley David Worsley true false 08ebc76b093f3e17fed29281f5cb637e 0000-0002-3951-0409 Hywel Thomas Hywel Thomas true false 3b28bf59358fc2b9bd9a46897dbfc92d 0000-0002-4901-2980 Perumal Nithiarasu Perumal Nithiarasu true false 2022-12-16 GENG A modelling approach is proposed to study ozone distribution and destruction in indoor spaces. The level of ozone gas concentration in the air, confined within an indoor space during an ozone-based disinfection process, was modelled. The emission and removal of ozone from the air volume were carried out using a generator located in the middle of the room. The computational fluid dynamics (CFD) model proposed accounts for ozone generation and decay kinetics, and buoyancy variations in the airflow. This framework was validated against experimental measurements at different locations in the room during the disinfection cycle. The model was then applied to a more challenging environment and demonstrated the suitability of ozone circulation as a disinfection process. The study also highlights the need for a well-controlled ozone removal process. Conference Paper/Proceeding/Abstract Mathematics in Industry 39 535 541 Springer International Publishing Cham 9783031118173 9783031118180 1612-3956 2198-3283 24 2 2012 2012-02-24 10.1007/978-3-031-11818-0_69 COLLEGE NANME General Engineering COLLEGE CODE GENG Swansea University 2023-01-10T09:12:20.9779798 2022-12-16T08:37:38.6787343 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering Sam Rolland 0000-0003-0455-5620 1 Hamid Tamaddon-Jahromi 2 Jason Jones 0000-0002-7715-1857 3 Alberto Coccarelli 0000-0003-1511-9015 4 Igor Sazonov 0000-0001-6685-2351 5 Chris Kershaw 6 Chedly Tizaoui 0000-0003-2159-7881 7 Peter Holliman 0000-0002-9911-8513 8 David Worsley 0000-0002-9956-6228 9 Hywel Thomas 0000-0002-3951-0409 10 Perumal Nithiarasu 0000-0002-4901-2980 11
title	Modelling Ozone Disinfection to Prevent Covid-19 Transmission
spellingShingle	Modelling Ozone Disinfection to Prevent Covid-19 Transmission Sam Rolland Hamid Tamaddon-Jahromi Jason Jones Alberto Coccarelli Igor Sazonov Chris Kershaw Chedly Tizaoui Peter Holliman David Worsley Hywel Thomas Perumal Nithiarasu
title_short	Modelling Ozone Disinfection to Prevent Covid-19 Transmission
title_full	Modelling Ozone Disinfection to Prevent Covid-19 Transmission
title_fullStr	Modelling Ozone Disinfection to Prevent Covid-19 Transmission
title_full_unstemmed	Modelling Ozone Disinfection to Prevent Covid-19 Transmission
title_sort	Modelling Ozone Disinfection to Prevent Covid-19 Transmission
author_id_str_mv	c14ac34a71e9c058d1d2a353b44a24cd b3a1417ca93758b719acf764c7ced1c5 aa4865d48c53a0df1c1547171826eab9 06fd3332e5eb3cf4bb4e75a24f49149d 05a507952e26462561085fb6f62c8897 712418e62ef36662d4034e102107a1c8 4b34a0286d3c0b0b081518fa6987031d c8f52394d776279c9c690dc26066ddf9 c426b1c1b0123d7057c1b969083cea69 08ebc76b093f3e17fed29281f5cb637e 3b28bf59358fc2b9bd9a46897dbfc92d
author_id_fullname_str_mv	c14ac34a71e9c058d1d2a353b44a24cd_*_Sam Rolland b3a1417ca93758b719acf764c7ced1c5__Hamid Tamaddon-Jahromi aa4865d48c53a0df1c1547171826eab9__Jason Jones 06fd3332e5eb3cf4bb4e75a24f49149d__Alberto Coccarelli 05a507952e26462561085fb6f62c8897__Igor Sazonov 712418e62ef36662d4034e102107a1c8__Chris Kershaw 4b34a0286d3c0b0b081518fa6987031d__Chedly Tizaoui c8f52394d776279c9c690dc26066ddf9__Peter Holliman c426b1c1b0123d7057c1b969083cea69__David Worsley 08ebc76b093f3e17fed29281f5cb637e__Hywel Thomas 3b28bf59358fc2b9bd9a46897dbfc92d_**_Perumal Nithiarasu
author	Sam Rolland Hamid Tamaddon-Jahromi Jason Jones Alberto Coccarelli Igor Sazonov Chris Kershaw Chedly Tizaoui Peter Holliman David Worsley Hywel Thomas Perumal Nithiarasu
author2	Sam Rolland Hamid Tamaddon-Jahromi Jason Jones Alberto Coccarelli Igor Sazonov Chris Kershaw Chedly Tizaoui Peter Holliman David Worsley Hywel Thomas Perumal Nithiarasu
format	Conference Paper/Proceeding/Abstract
container_title	Mathematics in Industry
container_volume	39
container_start_page	535
publishDate	2012
institution	Swansea University
isbn	9783031118173 9783031118180
issn	1612-3956 2198-3283
doi_str_mv	10.1007/978-3-031-11818-0_69
publisher	Springer International Publishing
college_str	Faculty of Science and Engineering
hierarchytype
hierarchy_top_id	facultyofscienceandengineering
hierarchy_top_title	Faculty of Science and Engineering
hierarchy_parent_id	facultyofscienceandengineering
hierarchy_parent_title	Faculty of Science and Engineering
department_str	School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering
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description	A modelling approach is proposed to study ozone distribution and destruction in indoor spaces. The level of ozone gas concentration in the air, confined within an indoor space during an ozone-based disinfection process, was modelled. The emission and removal of ozone from the air volume were carried out using a generator located in the middle of the room. The computational fluid dynamics (CFD) model proposed accounts for ozone generation and decay kinetics, and buoyancy variations in the airflow. This framework was validated against experimental measurements at different locations in the room during the disinfection cycle. The model was then applied to a more challenging environment and demonstrated the suitability of ozone circulation as a disinfection process. The study also highlights the need for a well-controlled ozone removal process.
published_date	2012-02-24T04:21:36Z
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score	11.013082

Modelling Ozone Disinfection to Prevent Covid-19 Transmission

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