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Modelling ozone disinfection process for creating COVID-19 secure spaces
International Journal of Numerical Methods for Heat & Fluid Flow ( IF 4.0 ) Pub Date : 2021-05-19 , DOI: 10.1108/hff-12-2020-0797
HamidReza Tamaddon Jahromi , Samuel Rolland , Jason Jones , Alberto Coccarelli , Igor Sazonov , Chris Kershaw , Chedly Tizaoui , Peter Holliman , David Worsley , Hywel Thomas , Perumal Nithiarasu

Purpose

A novel 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, is analysed. The purpose of this work is to investigate how ozone is distributed in time within an enclosed space.

Design/methodology/approach

A computational methodology for predicting the space- and time-dependent ozone concentration within the room across the consecutive steps of the disinfection process (generation, dwelling and destruction modes) is proposed. The emission and removal of ozone from the air volume are possible by means of a generator located in the middle of the room. This model also accounts for ozone reactions and decay kinetics, and gravity effect on the air.

Finding

This work is validated against experimental measurements at different locations in the room during the disinfection cycle. The numerical results are in good agreement with the experimental data. This comparison proves that the presented methodology is able to provide accurate predictions of the time evolution of ozone concentration at different locations of the enclosed space.

Originality/value

This study introduces a novel computational methodology describing solute transport by turbulent flow for predicting the level of ozone concentration within a closed room during a COVID-19 disinfection process. A parametric study is carried out to evaluate the impact of system settings on the time variation of ozone concentration within the space considered.



中文翻译:

模拟臭氧消毒过程以创建 COVID-19 安全空间

目的

提出了一种新的建模方法来研究室内空间中的臭氧分布和破坏。分析在基于臭氧的消毒过程中限制在室内空间的空气中的臭氧气体浓度水平。这项工作的目的是研究臭氧如何在封闭空间内及时分布。

设计/方法/方法

提出了一种计算方法,用于在消毒过程的连续步骤(生成、驻留和销毁模式)中预测房间内与空间和时间相关的臭氧浓度。通过位于房间中间的发生器可以从空气体积中排放和去除臭氧。该模型还考虑了臭氧反应和衰变动力学,以及重力对空气的影响。

寻找

这项工作在消毒循环期间根据房间内不同位置的实验测量进行了验证。数值结果与实验数据吻合良好。这种比较证明,所提出的方法能够准确预测封闭空间不同位置臭氧浓度的时间演变。

原创性/价值

本研究引入了一种新的计算方法,描述了湍流的溶质传输,用于预测 COVID-19 消毒过程中封闭房间内的臭氧浓度水平。进行参数研究以评估系统设置对所考虑空间内臭氧浓度随时间变化的影响。

更新日期:2021-05-19
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