Year: 2025
Type: article
Abstract: Effective airflow management in office settings is crucial for good indoor air quality and occupant comfort. Poor air circulation can lead to health issues like increased respiratory infections and decreased productivity. This study examines the effectiveness of mobile air supply (MAS) units in enhancing airflow distribution within an office, comparing them with a primary air-conditioning system. A computational fluid dynamics (CFD) simulation using the Renormalization Group (RNG) k-ε turbulence model based on Reynolds-Averaged Navier-Stokes equations predicted airflow distribution. The model showed high accuracy, with an average relative error of 6.6%. The installation locations of MAS units did not significantly affect airflow around occupants. While MAS units can locally enhance airflow, their overall effect on office air distribution is minimal compared to the primary air-conditioning system. The highest velocities were up to 3 m/s near workstations, which diluted particulates but also raised thermal discomfort concerns. Units placed behind obstacles like furniture showed poor air mixing and ineffective distribution. The study highlights the importance of strategically positioning MAS units to optimize air distribution without compromising comfort. Future research should explore particle dispersion within these configurations and extend the use of mobile units to various building types, aiming to improve indoor air quality across different environments. Such research would support adaptive ventilation strategies that enhance air quality and energy efficiency, aligning with the United Nations Sustainable Development Goal (SDG) 3: Good Health and Well-being.
Authors: Fatin Batrisyia Jihat Ahmad, Hong Yee Kek, Huiyi Tan, Yi Ka Fong, Ruzairi Abdul Rahim, Sien Jie Wong, Joo Jie Hui, Mohd Huzaini Mohd Zamri, Abu Ubaidah Shamsudin, Keng Yinn Wong
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funder: Universiti Teknologi Malaysia
Awards: G1001717021, G6084887513, G7010708489
OpenAlex ID: W4410418086
