Impact of vertical shading designs on the cross-ventilation performance of a high-rise office building DOI Creative Commons

Xin Yin,

Mohammed W. Muhieldeen

Results in Engineering, Journal Year: 2023, Volume and Issue: 21, P. 101676 - 101676

Published: Dec. 14, 2023

Historically, windows shading systems have been part of sustainable design elements that minimize solar heat gain while still allowing fresh air to pass through. However, there is a lack comprehensive research on the impact natural ventilation in furnished indoor spaces. This study aimed assess efficacy vertical shadings cross-ventilation performance an office building through numerical analysis by utilizing computational fluid dynamics. Site measurements were conducted compare with results and used as boundary conditions for simulations. The showed incorporating window has potential enhance rate when wind direction ranges from 45° 90°. Then, different fin settings applied various specific types further analysis. initial case (awning window) central resulted 30.46 % increase airflow compared non-shading scenario. implementation sash can be considered most effective combination, which 12.04 rate, reduction 17.73 velocity non-uniformity coefficient, decrease 31.47 percentage area dead zone. Lastly, first attempt demonstrate altering furniture placement improve presented. rates slightly affected furniture, local age-of-air surrounding occupant could reduced 56.21 %. provides practical architectural strategy enhancing behavior shadings.

Language: Английский

An efficient design method of indoor ventilation parameters for high-speed trains using improved proper orthogonal decomposition reconstruction DOI
Yibin Lu, Tiantian Wang,

Changlong Zhao

et al.

Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 71, P. 106600 - 106600

Published: April 18, 2023

Language: Английский

Citations

18

Student close contact behavior and COVID-19 transmission in China's classrooms DOI Creative Commons
Yong Guo, Zhiyang Dou, Nan Zhang

et al.

PNAS Nexus, Journal Year: 2023, Volume and Issue: 2(5)

Published: May 1, 2023

Classrooms are high-risk indoor environments, so analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in classrooms is important for determining optimal interventions. Due to the absence human behavior data, it challenging accurately determine virus exposure classrooms. A wearable device close contact detection was developed, and we recorded >250,000 data points behaviors students from grades 1 12. Combined with a survey on students' behaviors, analyzed Close rates were 37 ± 11% during classes 48 13% breaks. Students lower had higher potential. The long-range airborne route dominant, accounting 90 3.6% 75 7.7% without mask wearing, respectively. During breaks, short-range became more important, contributing 3.1% 9 (without wearing masks). Ventilation alone cannot always meet demands COVID-19 control; 30 m3/h/person suggested as threshold outdoor air ventilation rate classroom. This study provides scientific support prevention control classrooms, our proposed methods offer powerful tool understand characteristics can be employed various environments.

Language: Английский

Citations

18

Far-UVC disinfection of airborne and surface virus in indoor environments: Laboratory experiments and numerical simulations DOI

Kangqi Guo,

Yue Pan,

Hoi Fung Ronaldo Chan

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 245, P. 110900 - 110900

Published: Oct. 7, 2023

Language: Английский

Citations

18

Optimal location design for multiple Far-UVC lamps to enhance indoor bioaerosol disinfection by CFD-based Bayesian optimization DOI
Wenjie Huang, Yue Pan, Yiding Zhou

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 264, P. 111948 - 111948

Published: Aug. 10, 2024

Language: Английский

Citations

7

Current and potential approaches on assessing airflow and particle dispersion in healthcare facilities: a systematic review DOI Open Access
Huiyi Tan, Keng Yinn Wong, Mohd Hafiz Dzarfan Othman

et al.

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 29(53), P. 80137 - 80160

Published: Oct. 4, 2022

Language: Английский

Citations

25

Control technology of pathogenic biological aerosol: Review and prospect DOI
Hongbin Zhao, Xiangru Kong, Wanxiang Yao

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 243, P. 110679 - 110679

Published: July 31, 2023

Language: Английский

Citations

15

Influence of office furniture on exposure risk to respiratory infection under mixing and displacement air distribution systems DOI
Ihab Hasan Hatif, Haslinda Mohamed Kamar, Nazri Kamsah

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 239, P. 110292 - 110292

Published: April 12, 2023

Language: Английский

Citations

14

Air change per hour improvement for positive and negative pressure mechanical ventilation facilities systems DOI
Chen-Yu Pan, Kai-Ting Weng, Hsieh-Chih Hsu

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 83, P. 108414 - 108414

Published: Jan. 4, 2024

Language: Английский

Citations

5

Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey DOI Creative Commons
Yassine Himeur, Somaya Al‐Maadeed, Noor Almaadeed

et al.

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 85, P. 104064 - 104064

Published: July 21, 2022

Since the start of COVID-19 pandemic, social distancing (SD) has played an essential role in controlling and slowing down spread virus smart cities. To ensure respect SD public areas, visual monitoring (VSDM) provides promising opportunities by (i) analyzing physical distance between pedestrians real-time, (ii) detecting violations among crowds, (iii) tracking reporting individuals violating norms. authors' best knowledge, this paper proposes first comprehensive survey VSDM frameworks identifies their challenges future perspectives. Typically, we review existing contributions presenting background VSDM, describing evaluation metrics, discussing datasets. Then, techniques are carefully reviewed after dividing them into two main categories: hand-crafted feature-based deep-learning-based methods. A significant focus is paid to convolutional neural networks (CNN)-based methodologies as most have used either one-stage, two-stage, or multi-stage CNN models. comparative study also conducted identify pros cons. Thereafter, a critical analysis performed highlight issues impediments that hold back expansion systems. Finally, directions attracting research development derived.

Language: Английский

Citations

22

Energy, economic, and environmental impacts of enhanced ventilation strategies on railway coaches to reduce Covid-19 contagion risks DOI Open Access
Giovanni Barone, Annamaria Buonomano, Cesare Forzano

et al.

Energy, Journal Year: 2022, Volume and Issue: 256, P. 124466 - 124466

Published: June 15, 2022

Language: Английский

Citations

19