Performance Optimization of Natural Ventilation in Classrooms to Minimize the Probability of Viral Infection and Reduce Draught Risk

Author:

Fageha Mohammed K.,Alaidroos AlaaORCID

Abstract

This paper presents a detailed analysis to optimize natural ventilation performance in educational buildings to minimize the probability of viral infection (POI) and avoid draught discomfort. A whole building energy simulation tool has been coupled with the Wells–Riley equation to predict the probability of infection and Fanger’s draught equation to estimate the draught risk for classroom environments. Several parameters have been investigated, including window opening fraction (WOF), volume-to-student ratio, number of source patients, and exposure time. The analysis confirmed a dual effect of space volume on the POI where the POI can be increased or decreased simultaneously when the space volume is increased. Therefore, the WOF/(Volume/Student) ratio is introduced, and an optimization analysis is performed to determine the optimum ratio that delivers the lowest POI. The results showed that a WOF/(Volume/Student) ratio between 0.1 and 0.17 is recommended to guarantee low values of POI for a standard Volume/Student ratio of 6 m3. Even though high ventilation rates are required to prevent viral infection, it will certainly increase the draught risk. Therefore, optimal ventilation rates are required to maintain low POI and minimum draught risk, which can be achieved by optimum design of windows and implementing control systems for window operations to minimize turbulence effects and reduce the possibility of draught discomfort.

Funder

Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3