Estimating residential air exchange rates in rural Bangladesh using a near field-far field model

Das, Darpan; Moynihan, Emma; Nicas, Mark; McCollum, Eric D.; Ahmed, Salahuddin; Roy, Arunangshu D.; Chowdhury, Nabidul Haque; Hanif, Abu Abdullah Mohammad; Babik, Kelsey R.; Baqui, Abdullah H; Ramachandran, Gurumurthy

doi:10.1016/j.buildenv.2021.108325

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…In a study by Das et al entitled in 2021, the results of the estimation of air change rates are between 7 and 27 times [15]. The estimation results are not much different from those obtained at the Mangkang Health Center, which is between 2 and 27 times the air changes in the room.…”

Section: Figure 6 Airflow Ratementioning

confidence: 81%

Particulate Matter Concentration in Healthcare Facilities: The Influence of Natural Ventilation

Savanti

Wicaksono

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Particulate Matter (PM) is an air pollutant that harms human health. Therefore, there is a particular concern about reducing indoor air pollutants. Natural ventilation supplies clean air into the room to reduce indoor pollutants and create good air quality. This research aims to determine the influence of natural ventilation on the particulate matter’s concentration in the room. First, the physical indoor air quality, including particulate matter, was measured using research instruments to obtain the primary data in healthcare facility buildings. Quantitative analysis is then carried out following the applicable recommended standards. The results indicate that natural ventilation can affect particulate matter concentration in the room and play an essential role in reducing it. Therefore, a building must consider good ventilation design to create better indoor air quality.

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Section: Figure 6 Airflow Ratementioning

confidence: 81%

Particulate Matter Concentration in Healthcare Facilities: The Influence of Natural Ventilation

Savanti

Wicaksono

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…The results (Fig. 22 ) showed that all scenarios were beyond the ASHRAE standard for residential buildings (ACH = 0.35) 73 , 74 . This figure indicates that air change increases when the wind blows faster.…”

Section: Resultsmentioning

confidence: 97%

Effect of resilient architecture in an ancient windmill in the Sistan region on natural ventilation enhancement

Mohammadi

Jarkeh

Zolfaghari

et al. 2022

Sci Rep

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Over centuries different elements have been developed in architectures for ensuring adequate natural ventilation in residential units. This study assesses the different components of an ancient windmill in Sistan, Iran, on the structure's indoor air quality (IAQ) enhancement. Several climatic scenarios have been defined by the wind analysis of Sistan meteorological data and analyzed by CFD. The site measurements confirm the accuracy of the simulation results. In the windmill, two deflectors facing the prevailing wind are the significant elements which, in addition to directing wind toward the entrance, could form vortices near the east and west openings leading to suction ventilation. Alteration of the wind speed and angle from 10 to 15 m/s and 30° to 17° would increase the air change per hour (ACH) by 150% and 110%, respectively. Meanwhile, the ACHs were higher than the ASHRAE desired level (ACH > 0.35).

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Assessing household fine particulate matter (PM2.5) through measurement and modeling in the Bangladesh cook stove pregnancy cohort study (CSPCS)

Rahman,

Franklin,

Jabin

et al. 2023

Environmental Pollution

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Estimating residential air exchange rates in rural Bangladesh using a near field-far field model

Cited by 4 publications

References 21 publications

Particulate Matter Concentration in Healthcare Facilities: The Influence of Natural Ventilation

Particulate Matter Concentration in Healthcare Facilities: The Influence of Natural Ventilation

Effect of resilient architecture in an ancient windmill in the Sistan region on natural ventilation enhancement

Assessing household fine particulate matter (PM2.5) through measurement and modeling in the Bangladesh cook stove pregnancy cohort study (CSPCS)

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