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PubMed Publications| Keyword search (4,163 papers available) |  |
"Airborne" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | A review on indoor airborne transmission of COVID-19- modelling and mitigation approaches | Rayegan S; Shu C; Berquist J; Jeon J; Zhou LG; Wang LL; Mbareche H; Tardif P; Ge H; | 40478135 ENCS |
| 2 | Evaluating SARS-CoV-2 airborne quanta transmission and exposure risk in a mechanically ventilated multizone office building | Yan S; Wang LL; Birnkrant MJ; Zhai J; Miller SL; | 35602249 ENCS |
| 3 | A real-time web tool for monitoring and mitigating indoor airborne COVID-19 transmission risks at city scale | Albettar M; Leon Wang L; Katal A; | 35261876 ENCS |
| 4 | Removal of SARS-CoV-2 using UV+Filter in built environment: simulation/evaluation by utilizing validated numerical method | Feng Z; Cao SJ; Haghighat F; | 34367884 ENCS |
| 5 | Indoor airborne disinfection with electrostatic disinfector (ESD): Numerical simulations of ESD performance and reduction of computing time | Feng Z; Cao SJ; Wang J; Kumar P; Haghighat F; | 33994653 ENCS |
| Title: | Removal of SARS-CoV-2 using UV+Filter in built environment: simulation/evaluation by utilizing validated numerical method | ||||
| Authors: | Feng Z, Cao SJ, Haghighat F | ||||
| Link: | pubmed.ncbi.nlm.nih.gov/34367884/ | ||||
| DOI: | 10.1016/j.scs.2021.103226 | ||||
| Publication: | Sustainable cities and society | ||||
| Keywords: | Air filter; Airborne disease prevention; COVID-19 control; Energy saving; SARS-CoV-2; UV; | ||||
| PMID: | 34367884 | Category: | Date Added: | 2021-08-09 | |
| Dept Affiliation: |
ENCS
1 School of Architecture, Southeast University, 2 Sipailou, Nanjing, 210096, China. 2 Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, United Kingdom. 3 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Canada. |
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Description: |
Air cleaning is an effective and reliable method in indoor airborne SARS-CoV-2 (Severe Acute Respiratory Syndrome Corona-Virus 2) control, with ability of aerosol removal or disinfection. However, traditional air cleaning systems (e.g. fibrous filter, electrostatic removal system) have some risks in operation process, including re-aerosolization and electric breakdown. To avoid these risks, the current study proposed an UV+Filter (ultraviolet and fibrous pleated filter) system to efficiently capture airborne SARS-CoV-2 aerosols and deactivate them in filter medium. It is challenging to quantitatively design UV+Filter due to complex characteristics of SARS-CoV-2 aerosols (e.g. aerodynamic size, biological susceptibility) and hybrid filtration/disinfection processes. This study numerically investigated the overall performances of different air cleaning devices (e.g. Fibrous-filter, UV+Filter, two-stage ESP (electrostatic precipitator) et al.) for removal of SARS-CoV-2 aerosols and compared them in term of filtration efficiency, energy consumption and secondary pollution. The prediction of developed models was validated with the experimental data from literature. UV+Filter is the most reliable and safest, while its energy consumption is highest. The newly proposed design method of air cleaning systems could provide essential tools for airborne diseases control. |
