Simulation and Optimization of Flow-guide Devices in Centralized Exhaust System
- DOI
- 10.2991/978-94-6463-728-1_63How to use a DOI?
- Keywords
- Flow-guide device; Centralized exhaust system; Local resistance; Ventilation; Numerical simulation
- Abstract
Centralized exhaust system commonly used in high-rise residential buildings. Kitchens are the focal point in the design of ventilation. In order to solve the problems of oil fumes reflux and odor migration, simulation studies are carried out on the uniform ventilating duct and variable pressure ventilating duct. This study takes a 30-storey building as an example, uses the computational fluid dynamics (CFD) method to analyze the flow characteristics of the duct and combines the changing law of the local resistance coefficient of the flow-guide device to realize the optimal parameter selection. The results indicate that the flow-guide device has the role of induced flow, which is favorable to improve the capacity to exhaust fumes, and is more suitable for the conditions of high operating rate. The size of the flow-guide device should meet the ratio of the area with the main flue between 0.061–0.074 for the best smoke exhaustion effect, and the minimum smoke extraction increases by 9.95%-12.76%.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xiaoming Zhang AU - Shiyu Zhao AU - Haotian Zhang AU - Yinghan Ma PY - 2025 DA - 2025/05/19 TI - Simulation and Optimization of Flow-guide Devices in Centralized Exhaust System BT - Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024) PB - Atlantis Press SP - 677 EP - 685 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-728-1_63 DO - 10.2991/978-94-6463-728-1_63 ID - Zhang2025 ER -