Characterization of the indoor near-field aerosol transmission in a model commercial office building

Chien, Chih-Hsiang; Cheng, Meng‐Dawn; Im, Piljae; Nawaz, Kashif; Fricke, Brian; Armstrong, Anthony A.

doi:10.1016/j.icheatmasstransfer.2021.105745

Cited by 3 publications

(3 citation statements)

References 24 publications

(29 reference statements)

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“…It is inferred that the recirculation rate in Campaign D-F is <7.2% and < 4.9% for submicron and micron aerosol, respectively. Based on our previous near-field study, the mean of normalized concentration in the source zone is measured as 0.59 [ 19 ]. Accordingly, the normalized concentration at the supply inlet was calculated as 0.042 and 0.029 for submicron and micron aerosol, respectively, for Campaign A-C; the normalized concentration would be less in Campaign D-F. 0.042 and 0.029 were set as the maximum of the theoretical values of normalized aerosol concentration in the supply.…”

Section: Resultsmentioning

confidence: 99%

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Characterization of the indoor far-field aerosol transmission in a model commercial office building

Chien

Cheng

et al. 2022

International Communications in Heat and Mass Transfer

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Section: Resultsmentioning

confidence: 99%

“…A mass-balance model with the well-mixed assumption is applied to estimate the recirculation rate. Detailed aerosol mass balance calculations are described in near field study; see reference [ 19 ].…”

Section: Methodsmentioning

confidence: 99%

Characterization of the indoor far-field aerosol transmission in a model commercial office building

Chien

Cheng

et al. 2022

International Communications in Heat and Mass Transfer

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“…The heat-inactivated SARS-CoV-2 virions were aerosolized using TSI MODEL 3076 Atomizer as shown in Figure 2 , which generated aerosols continuously for particles <1 µm [ 22 ]. A solution of 32 cp/mL heat-inactivated SARS-CoV-2 virions was prepared by diluting the stock in DI water.…”

Section: Methodsmentioning

confidence: 99%

SARS-CoV-2 Surveillance in Indoor Air Using Electrochemical Sensor for Continuous Monitoring and Real-Time Alerts

Gecgel

Ramanujam

et al. 2022

Biosensors

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The severe acute respiratory syndrome related coronavirus 2 (SARS-CoV-2) has spread globally and there is still a lack of rapid detection techniques for SARS-CoV-2 surveillance in indoor air. In this work, two test rigs were developed that enable continuous air monitoring for the detection of SARS-CoV-2 by sample collection and testing. The collected samples from simulated SARS-CoV-2 contaminated air were analyzed using an ultra-fast COVID-19 diagnostic sensor (UFC-19). The test rigs utilized two air sampling methods: cyclone-based collection and internal impaction. The former achieved a limit of detection (LoD) of 0.004 cp/L in the air (which translates to 0.5 cp/mL when tested in aqueous solution), lower than the latter with a limit of 0.029 cp/L in the air. The LoD of 0.5 cp/mL using the UFC-19 sensor in aqueous solution is significantly lower than the best-in-class assays (100 cp/mL) and FDA EUA RT-PCR test (6250 cp/mL). In addition, the developed test rig provides an ultra-fast method to detect airborne SARS-CoV-2. The required time to test 250 L air is less than 5 min. While most of the time is consumed by the air collection process, the sensing is completed in less than 2 s using the UFC-19 sensor. This method is much faster than both the rapid antigen (<20 min) and RT-PCR test (<90 min).

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Reduced-order modeling of transport of infectious aerosols in ventilated rooms

et al. 2023

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A new approach to numerical modeling of airborne transmission of respiratory infections, such as COVID-19, influenza, or those caused by common rhinoviruses, is presented. The focus is on the long-range transport of infectious aerosol particles by air flows in indoor environments. The approach is based on the Eulerian description of the aerosol field and the reduced-order modeling (ROM) applied to reduce the computational cost of analysis. The ROM is based on the projection of a computational fluid dynamics (CFD) solution onto a Krylov subspace by an Arnoldi-type algorithm. The algorithm does not require access to the original discretization matrix and, therefore, can be applied to solutions of Eulerian transport problems by general-purpose CFD software, in which such a matrix is often unavailable. The model is validated for a realistic setting via direct comparison of its predictions with the results of the full-order CFD solution based on the Eulerian model and the data of Lagrangian tracking of aerosol particles. Applicability of the ROM to simulation of long-term evolution of the aerosol field and to assessment of infection hazard is demonstrated. Computational tests show that use of ROM reduces the computational cost of analysis by a factor of about 103 without a significant loss in the accuracy of the results.

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Characterization of the indoor near-field aerosol transmission in a model commercial office building

Cited by 3 publications

References 24 publications

Characterization of the indoor far-field aerosol transmission in a model commercial office building

Characterization of the indoor far-field aerosol transmission in a model commercial office building

SARS-CoV-2 Surveillance in Indoor Air Using Electrochemical Sensor for Continuous Monitoring and Real-Time Alerts

Reduced-order modeling of transport of infectious aerosols in ventilated rooms

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