VENTILATION STRUCTURE OPTIMIZATION AND VIRUS SPREADING LAW IN LARGE INDOOR PLACES

LUAN Yigang; ZHANG Limin; YIN Yue; YAN Lanyi; WU Xue; SUN Tao

doi:10.13205/j.hjgc.202212024

Volume 40 Issue 12

Nov. 2022

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2022 > 40(12): 180-186

LUAN Yigang, ZHANG Limin, YIN Yue, YAN Lanyi, WU Xue, SUN Tao. VENTILATION STRUCTURE OPTIMIZATION AND VIRUS SPREADING LAW IN LARGE INDOOR PLACES[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(12): 180-186. doi: 10.13205/j.hjgc.202212024

Citation:

LUAN Yigang, ZHANG Limin, YIN Yue, YAN Lanyi, WU Xue, SUN Tao. VENTILATION STRUCTURE OPTIMIZATION AND VIRUS SPREADING LAW IN LARGE INDOOR PLACES[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(12): 180-186. doi: 10.13205/j.hjgc.202212024

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VENTILATION STRUCTURE OPTIMIZATION AND VIRUS SPREADING LAW IN LARGE INDOOR PLACES

doi: 10.13205/j.hjgc.202212024

College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China

Received Date: 2021-12-07
Available Online: 2023-03-23

Abstract

Abstract

As for the limited space and complex air flow field in large indoor places, research on the spread of aerosol-borne viruses in such large enclosed spaces is of great significance for preventing spreading of infectious viruses. Taking a shelter hospital in Wuhan temporarily refitted from a stadium in the COVID-19 epidemic in 2020 as the research object, the air flow field in the shelter was analyzed by numerical simulation, and the DPM model (discrete phase particle model) was used to simulate the virus-carrying distribution and diffusion of aerosol particles in the shelter. The effects of natural ventilation, forced ventilation, air distribution in air ducts and bottom suction on particle distribution were also studied. The results of the numerical simulation showed that the aerosol diffusion was effectively suppressed, when the air distribution of the air duct was matched with the bottom suction, and when the wind pressure of the air distribution in the air duct was 50 kPa, the effect of particle removal was the best.
- aerosol,
- diffusion,
- indoor places,
- ventilation structure,
- DPM model

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References(20)

References

[1]	杨心怡.新型冠状病毒肺炎核酸检测和诊断专利信息分析[J].中国发明与专利,2021,18(3):70-77.
[2]	殷越,李永曦,符昊,等.室内密闭与通风空间气溶胶扩散特性[J].环境工程,2021,39(4):89-95.
[3]	李珊珊,顾静文,张菁,等.现行新型冠状病毒疫苗的临床试验进展[J].中国新药与临床杂志,2021,40(5):321-339.
[4]	周涛, 刘权辉, 杨紫陌, 等. 武汉新型冠状病毒感染肺炎基本再生数的初步预测[J]. 中国循证医学杂志, 2020, 20(3):1-6.
[5]	李天佑,祁建华,马曼曼,等.不同空气质量下生物气溶胶中细菌群落特征研究[J].环境科学与技术,2021,44(1):58-68.
[6]	SALMA I, BALASHAZY I, WINKLER-HEIL R, et al. Effect of particle mass size distribution on the deposition of aerosols in the human respiratory system[J]. Journal of Aerosol Science, 2002,33(1):119-132.
[7]	王烁烁,吴瑛,郝啸峰,等.高校典型公共场所冬季室内微生物气溶胶的污染调查及分析[J].广东化工,2020,47(20):73-75.
[8]	史庆丰,陈翔,林佳冰,等.医院内冠状病毒的气溶胶传播[J].上海预防医学,2020,32(10):851-856.
[9]	李永辉, 赵国利, 蔡宜可,等. 新型冠状病毒传播在建筑环境控制中的影响和防护建议[J]. 新建筑, 2021(3):147-151.
[10]	李雪, 蒋靖坤, 王东滨,等. 冠状病毒气溶胶传播及环境影响因素[J]. 环境科学, 2021, 42(7):3091-3098.
[11]	雷浩, 肖胜蓝, 张楠,等. 新型冠状病毒在家庭环境中的主要传播途径[J]. 科技导报, 2021, 39(9):78-86.
[12]	吕科洋, 徐东群. 呼吸道传染病的气溶胶传播风险及防控建议[J]. 结核与肺部疾病杂志, 2021, 2(2):102-107.
[13]	DAO H T, KIM K S. Behavior of cough droplets emitted from Covid-19 patient in hospital isolation room with different ventilation configurations[J]. Building and Environment, 2022, 209:108649.
[14]	PORTARAPILLO M, DI BENEDETTO A. Methodology for risk assessment of COVID-19 pandemic propagation[J]. Journal of Loss Prevention in the Process Industries, 2021, 72:104584.
[15]	MOTAMEDI H, SHIRZADI M, TOMINAGA Y, et al. CFD modeling of airborne pathogen transmission of COVID-19 in confined spaces under different ventilation strategies[J]. Sustainable Cities and Society, 2022, 76:103397.
[16]	BHATTACHARYYA S, DEY K, PAUL A R, et al. A novel CFD analysis to minimize the spread of COVID-19 virus in hospital isolation room[J]. Chaos Solitons & Fractals, 2020, 139:110294.
[17]	OBEIDAT B, ALREBEI O F, ABDALLAH I A, et al. CFD analyses:the effect of pressure suction and airflow velocity on coronavirus dispersal[J]. Applied Sciences-Basel, 2021, 11(16):7450.
[18]	MUTLU M. Numerical investigation of indoor air quality in a floor heated room with different air change rates[J]. Building Simulation, 2020, 13(5):1063-1075.
[19]	余勇. 基于DPM的客车室内生物源性污染物扩散及控制仿真研究[D]. 株洲:湖南工业大学, 2014.
[20]	陈小明. 空调室内生物气溶胶扩散分布的数值模拟[D]. 衡阳:南华大学, 2011.