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Development of Computational Models to Design Upper-Room Ultraviolet Germicidal Irradiation Air Disinfection Systems in Hospital Environments

Development of Computational Models to Design Upper-Room Ultraviolet Germicidal Irradiation Air Disinfection Systems in Hospital Environments
开发计算模型来设计医院环境中的上室紫外线杀菌辐射空气消毒系统
批准号:
EP/G008663/1
负责人:
Catherine Noakes
金额:
$32.26万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2009
资助国家:
英国
项目状态:
已结题
起止时间:
2009 至 --

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中文摘要
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英文摘要
Ultraviolet Germicidal Irradiation (UVGI) irradiation has been known for many years to have a lethal effect on microorganisms. It is routinely used in water disinfection and can be a viable method of reducing airborne pathogens in indoor environments to decrease the risk of cross transmission of infection. Despite recommendations for use in high risk healthcare environments such as tuberculosis (TB) wards, the application of UVGI remains limited due to lack of evidence gained directly in clinical settings. However two major clinical studies that are about to be published will prove the effectiveness of UVGI devices against TB transmission and thus a significant increase in the future demand for UVGI air disinfection is anticipated. To translate these clinical based research findings into successful control strategies tailored to the needs of a particular healthcare environment, robust guidance on designing safe and effective UVGI air disinfection systems is now needed. This project aims to address this need by developing a design tool for simulating the behaviour of upper room air disinfection devices in realistic hospital environments, and guidance documents to enable hospital managers, architects and engineers to (a) determine if UVGI disinfection is suitable for a particular environment and (b) to ensure any UVGI installations are both effective and safe. The proposed study will use computational fluid dynamics (CFD) simulations to carry out a parametric study quantifying the factors that influence the performance of a UV device to produce an empirical model of UVGI disinfection within a ventilation design model. The model will quantify the mean effectiveness, as well as stochastic variations, and provide an output in terms of UV device performance and relative risk of infection for ward occupants. This will enable better design and specification of UVGI systems without the use of resource intensive CFD models. Parametric studies using CFD models and the new design tool will then be used to draft three design guidance documents; suitability of upper-room UVGI systems in healthcare environments, safe installation and operation of UVGI systems, and optimising UVGI system design to minimise airborne infection risk.
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会议论文
Tracer-gas technique as a surrogate method for tracking airborne pathogen transport in indoor environments
示踪气体技术作为追踪室内环境中空气传播病原体传播的替代方法
DOI: --
发表时间:
期刊: N/A
影响因子: --
作者: [Miller Camargo-Valero (Author)]
通讯作者: Miller Camargo-Valero (Author)
DOI: 10.1177/1420326x14532933
发表时间: 2014
期刊: Indoor and Built Environment
影响因子: 3.6
作者: [Gilkeson C]
通讯作者: Gilkeson C
A Computational Study of UV disinfection performance within a naturally ventilated hospital ward
自然通风医院病房内紫外线消毒性能的计算研究
DOI: --
发表时间: 2013
期刊: N/A
影响因子: --
作者: [Gilkeson C.A.]
通讯作者: Gilkeson C.A.
DOI: --
发表时间:
期刊:
影响因子: --
作者: [Catherine Noakes (Author)]
通讯作者: Catherine Noakes (Author)
8
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    • 批准号:
      EP/W006375/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $105.36万
    • 财政年份:
      2021
    • 负责人:
      Catherine Noakes
    • 依托单位:
    TRACK: Transport Risk Assessment for COVID Knowledge
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      EP/V032658/1
    • 项目类别:
      Research Grant
    • 资助金额:
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    • 财政年份:
      2020
    • 负责人:
      Catherine Noakes
    • 依托单位:
    Breathing City: Future Urban Ventilation Network
    • 批准号:
      NE/V002082/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $64.72万
    • 财政年份:
      2020
    • 负责人:
      Catherine Noakes
    • 依托单位:
    Healthcare Environment Control, Optimisation and Infection Risk Assessment (HECOIRA)
    • 批准号:
      EP/P023312/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $130.68万
    • 财政年份:
      2017
    • 负责人:
      Catherine Noakes
    • 依托单位:
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    Computational Methods for Analyzing Toponome Data