Conference Paper/Proceeding/Abstract 490 views
Modelling Ozone Disinfection to Prevent Covid-19 Transmission
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
Full text not available from this repository: check for access using links below.
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...
Published in: | Mathematics in Industry |
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ISBN: | 9783031118173 9783031118180 |
ISSN: | 1612-3956 2198-3283 |
Published: |
Cham
Springer International Publishing
2012
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URI: | https://cronfa.swan.ac.uk/Record/cronfa62181 |
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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. 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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 |
|
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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 |
document_store_str |
0 |
active_str |
0 |
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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1763754426037698560 |
score |
11.021648 |