Keyword search (4,163 papers available)

"Haghighat F" Authored Publications:

Title Authors PubMed ID
1 From pollution barriers to health buffers: Rethinking building airtightness under climate variability Fu N; Zhang R; Haghighat F; Kumar P; Cao SJ; 41252997
ENCS
2 A practical approach for preventing dispersion of infection disease in naturally ventilated room Ren C; Cao SJ; Haghighat F; 40477856
ENCS
3 Ce-doped MnOx mixed with polyvinylidene fluoride as an amplified ozone decomposition filter medium in humid conditions Namdari M; Haghighat F; Lee CS; 39579188
ENCS
4 Assessing greenhouse gas emissions in Cuban agricultural soils: Implications for climate change and rice (Oryza sativa L.) production Dar AA; Chen Z; Rodríguez-Rodríguez S; Haghighat F; González-Rosales B; 38295640
ENCS
5 Refined design of ventilation systems to mitigate infection risk in hospital wards: Perspective from ventilation openings setting Ren C; Wang J; Feng Z; Kim MK; Haghighat F; Cao SJ; 37336354
ENCS
6 Intelligent operation, maintenance, and control system for public building: Towards infection risk mitigation and energy efficiency Ren C; Zhu HC; Wang J; Feng Z; Chen G; Haghighat F; Cao SJ; 36941886
ENCS
7 Comparison of photocatalysis and photolysis of 2,2,4,4-tetrabromodiphenyl ether (BDE-47): Operational parameters, kinetic studies, and data validation using three modern machine learning models Motamedi M; Yerushalmi L; Haghighat F; Chen Z; Zhuang Y; 36907486
ENCS
8 Impact of ionizers on prevention of airborne infection in classroom Ren C; Haghighat F; Feng Z; Kumar P; Cao SJ; 36474607
ENCS
9 Estimation of Anthropogenic VOCs Emission Based on Volatile Chemical Products: A Canadian Perspective Asif Z; Chen Z; Haghighat F; Nasiri F; Dong J; 36416924
ENCS
10 Dynamics of SARS-CoV-2 spreading under the influence of environmental factors and strategies to tackle the pandemic: A systematic review Asif Z; Chen Z; Stranges S; Zhao X; Sadiq R; Olea-Popelka F; Peng C; Haghighat F; Yu T; 35317188
ENCS
11 Recent developments in photocatalysis of industrial effluents ։ A review and example of phenolic compounds degradation Motamedi M; Yerushalmi L; Haghighat F; Chen Z; 35074327
ENCS
12 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
13 Mitigating COVID-19 infection disease transmission in indoor environment using physical barriers Ren C; Xi C; Wang J; Feng Z; Nasiri F; Cao SJ; Haghighat F; 34306996
ENCS
14 Kinetic and reaction mechanism of generated by-products in a photocatalytic oxidation reactor: Model development and validation Malayeri M; Lee CS; Niu J; Zhu J; Haghighat F; 34182424
ENCS
15 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
16 The contribution of dry indoor built environment on the spread of Coronavirus: Data from various Indian states. V AAR, R V, Haghighat F 32834934
ENCS
17 Hierarchical magnetic petal-like Fe3O4-ZnO@g-C3N4 for removal of sulfamethoxazole, suppression of photocorrosion, by-products identification and toxicity assessment Mirzaei A; Chen Z; Haghighat F; Yerushalmi L; 29705637
ENCS
18 Photocatalytic degradation of sulfamethoxazole by hierarchical magnetic ZnO@g-C3N4: RSM optimization, kinetic study, reaction pathway and toxicity evaluation. Mirzaei A, Yerushalmi L, Chen Z, Haghighat F 30086522
ENCS
19 Hydrothermal/solvothermal synthesis and treatment of TiO2 for photocatalytic degradation of air pollutants: Preparation, characterization, properties, and performance. Mamaghani AH, Haghighat F, Lee CS 30572234
ENCS
20 Sonocatalytic removal of ampicillin by Zn(OH)F: Effect of operating parameters, toxicological evaluation and by-products identification. Mirzaei A, Haghighat F, Chen Z, Yerushalmi L 31054533
ENCS

 

Title:Removal of SARS-CoV-2 using UV+Filter in built environment: simulation/evaluation by utilizing validated numerical method
Authors:Feng ZCao SJHaghighat F
Link:pubmed.ncbi.nlm.nih.gov/34367884/
DOI:10.1016/j.scs.2021.103226
Publication:Sustainable cities and society
Keywords:Air filterAirborne disease preventionCOVID-19 controlEnergy savingSARS-CoV-2UV
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.

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.




BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University