首页|Optimized design of a reinforced exhaust at low velocity (RELV) system for efficient viral aerosol removal in elevators

Optimized design of a reinforced exhaust at low velocity (RELV) system for efficient viral aerosol removal in elevators

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  • NETL
  • NSTL
  • Tsinghua Univ Press
Elevators, as an enclosed and often crowded space, pose a high risk of airborne infections due to ineffective ventilation. To mitigate this issue, this study introduces a reinforced exhaust at low velocity (RELV) system, specifically designed to enhance aerosol removal efficiency in elevators. The performance of the RELV system was assessed through computational fluid dynamics (CFD) simulations, employing the Renormalization Group (RNG) k-ε turbulence model to simulate airflow and the Lagrangian method to track particle motion. The RELV system was benchmarked against three conventional ventilation strategies: mixed ventilation (MV), displacement ventilation (DV), and local exhaust (Exhaust). Results demonstrated that the RELV system, optimized at a momentum ratio of 0.2, achieved a remarkable 72.9% aerosol removal efficiency within 120 s, significantly outperforming the 16.1% removal efficiency of the MV system under Scenario I, where the patient was located at the elevator's center. Furthermore, the viral aerosol concentration in the breathing zone was reduced from 2.03×10~(-2) mg/cm~3 in the MV system to 1.02×10~(-3) mg/cm~3 in the RELV system. The RELV system features simple design and compatibility with existing ventilation systems, offering an effective solution to improve air quality in elevators and other enclosed environments. Additionally, this study provides a velocity decay curve for low-velocity jets in the RELV system. This curve offers valuable insights for designing ventilation systems in similar settings.

aerosol transmissionelevator spaceventilation strategyCFDexposure risk assessment

Sumei Liu、Longhui Xu、Bingqian Chen、Zhipeng Deng、Chengbo Du、Pin Li、Runmin Zhao

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Tianjin Key Laboratory of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China||School of Energy and Electrical Engineering, Qinghai University, Xining 810016, China

Tianjin Key Laboratory of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China

BYD Auto Industry Company Limited, Shenzhen 518119, China

Department of Mechanical and Aerospace Engineering, College of Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USA

School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA

School of Energy and Electrical Engineering, Qinghai University, Xining 810016, China

Tianjin Key Laboratory of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China||Shanghai Junyu Information Technology Co., Ltd, Shanghai, China

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2025

10.1007/s12273-025-1258-2

Building Simulation

Building Simulation

ISSN：1996-3599
年,卷(期)：2025.18(5)
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