Influence of spatial layout on airflow field and particle distribution on the workspace of a factory

Huang, Chiung-Wei; Lin, Pei-yin

doi:10.1016/j.buildenv.2013.09.014

Cited by 13 publications

(6 citation statements)

References 33 publications

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“…The notorious of CFD is its ability to model the air flow behavior (Huang and Lin 2014, Pamonpol et al . 2020, Zhang et al .…”

Section: Discussionmentioning

confidence: 99%

Computational fluid dynamic (CFD), air flow-droplet dispersion, and indoor CO₂ analysis for healthy public space configuration to comply with COVID 19 protocol

Adwibowo

2020

Preprint

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The droplet has a limited travel distance. Nonetheless, especially in the indoor public space the air flow can propagate the droplet to travel long distance. Based on this situation, this paper aims to study the relationships of seat configuration-social distance-air flow-droplet dispersions. The analysis was based on the computational fluid dynamic (CFD) using lattice Boltzmann model (LBM). The result confirms that by modifying public space configuration in this case by providing more space and increasing seating distance can reduce the vulnerability towards droplet dispersions. Whereas, providing shield including adding protection is far more effective in avoiding dispersions. The public space reconfiguration including increasing seat distance and reducing seating capacity also has an effect in reducing the indoor CO2. Capacity reduction from full capacity to 30% can decrease the CO2 from 5722 to 2144 ppm.

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“…The notorious of CFD is its ability to model the air flow behavior (Huang and Lin 2014, Pamonpol et al . 2020, Zhang et al .…”

Section: Discussionmentioning

confidence: 99%

Computational fluid dynamic (CFD), air flow-droplet dispersion, and indoor CO₂ analysis for healthy public space configuration to comply with COVID 19 protocol

Adwibowo

2020

Preprint

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“…In this study, the airflow pattern of laboratory was first assumed to be incompressible and turbulent with low speed. Therefore, the airflow-field and temperature distribution were solved by the incompressible Navier-Stokes (N–S) equation with the standard k-ε turbulence model due to its successful application in terms of airflow in enclosed environment [ 20 , 21 ].…”

Section: Methodsmentioning

confidence: 99%

Effect of equipment layout on bioaerosol temporal-spatial distribution and deposition in one BSL-3 laboratory

Liu

Zhuang

et al. 2020

Building and Environment

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Reasonable equipment layout is essential for creating a healthy and safe environment, especially in a three-level biosafety laboratory with high potential risk factors of infection. Since 2019, COVID-19, an emerging infection has swept the world and caused severe losses. Biosafety laboratories are mandatory sites for detecting high-risk viruses, so related research is urgently needed to prevent further laboratory-acquired infections of operators. This study investigated the effects of obstacles on exposure infection of staff in a biosafety laboratory with related experimental equipment. The numerical simulation results are highly verified by the measured results. The results indicate that although the equipment layout does not affect the bioaerosol removal time, nearly 17% of the pollutant particles in the actual laboratory cannot be discharged effectively compared with the ideal situation. These particles lingered in the lower space under the influence of vortex, which would increase the respiratory risk of operators. In addition, after the experiment a large part of bioaerosol particles would be captured by equipment and floor, and the deposition rate per unit area is 0.45%/m 2 and 0.8%/m 2 , respectively. Although the results show that the equipment layout could reduce the pollution on the floor, the disinfection is still an important link, especially on the surfaces of equipment. Meanwhile, the result also indicates that the action should be light and slow when operating in BSL-3 laboratory, so as to avoid the secondary suspension pollution of bioaerosol particles on the equipment surface and floor.

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“…In a study by Rim and Novoselac it is shown that when the pollutant source is located close to the soil level, the particle concentration inhaled by the workers in that workplace was four times higher than the admissible [12]. Other research in the field present that PM 2.5 a concentration evaluation in five food preparation activities were to 9 times higher than the accepted normal concentrations [11].…”

Section: Introductionmentioning

confidence: 96%

“…The toxic emissions, particulate matter, can have irreversible effects on human health and can be found in workplaces [11]. Also, the toxic emissions are a serious problem regard work safety.…”

Section: Introductionmentioning

confidence: 99%

Application on the Workplaces Hazards Measurement in a Bakery Unit

Panainte-Lehăduș

Bârsan

Irimia

et al. 2017

JESR

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The workplaces, where human activity takes place, is characterized by some complex factors that can affect the health of employees. These factors (temperature, humidity, noise, vibration, toxic substances, lighting, particulate matter etc.) can also be generalized as dangerous factors or workplaces hazards [1, 2, 3, 4]. In this article are presented some results obtained after workplaces hazards measurements in a production and sales bakery unit for the parameters: O2, SO2, CO, NH3, temperature, humidity, suspension powders, VOC. The values of the measured parameters particulate matter (0.17 mg/m3 - 0.30 mg/m3) respectively volatile organic compounds (0.8 ppm ÷ 21.1 ppm) were below the maximum allowable concentrations, which indicates a safe workplaces for employees. The other parameters measured values, respectively temperature and humidity, were between 22.100C - 29.20 C for temperature and 47% - 53% for humidity.

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Influence of spatial layout on airflow field and particle distribution on the workspace of a factory

Cited by 13 publications

References 33 publications

Computational fluid dynamic (CFD), air flow-droplet dispersion, and indoor CO₂ analysis for healthy public space configuration to comply with COVID 19 protocol

Computational fluid dynamic (CFD), air flow-droplet dispersion, and indoor CO₂ analysis for healthy public space configuration to comply with COVID 19 protocol

Effect of equipment layout on bioaerosol temporal-spatial distribution and deposition in one BSL-3 laboratory

Application on the Workplaces Hazards Measurement in a Bakery Unit

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Influence of spatial layout on airflow field and particle distribution on the workspace of a factory

Cited by 13 publications

References 33 publications

Computational fluid dynamic (CFD), air flow-droplet dispersion, and indoor CO2 analysis for healthy public space configuration to comply with COVID 19 protocol

Computational fluid dynamic (CFD), air flow-droplet dispersion, and indoor CO2 analysis for healthy public space configuration to comply with COVID 19 protocol

Effect of equipment layout on bioaerosol temporal-spatial distribution and deposition in one BSL-3 laboratory

Application on the Workplaces Hazards Measurement in a Bakery Unit

Contact Info

Product

Resources

About

Computational fluid dynamic (CFD), air flow-droplet dispersion, and indoor CO₂ analysis for healthy public space configuration to comply with COVID 19 protocol

Computational fluid dynamic (CFD), air flow-droplet dispersion, and indoor CO₂ analysis for healthy public space configuration to comply with COVID 19 protocol