On the mathematical model of kitchen smoke exhaust system in high-rise residential buildings considering the Influence of Stack effect

In high-rise buildings with large indoor and outdoor temperature difference, neglecting the effect of stack effect in smoke exhaust shafts may cause calculation error of the fluid network model. In this paper, the mathematical model of kitchen smoke exhaust system considering the influence of stack...

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Bibliographic Details
Main Authors: Huang, K. (Author), Liu, X. (Author), Wang, R. (Author), Yu, M. (Author)
Format: Article
Language:English
Published: KeAi Communications Co. 2023
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02592nam a2200421Ia 4500
001 10.1016-j.enbenv.2023.04.007
008 230526s2023 CNT 000 0 und d
020 |a 26661233 (ISSN) 
245 1 0 |a On the mathematical model of kitchen smoke exhaust system in high-rise residential buildings considering the Influence of Stack effect 
260 0 |b KeAi Communications Co.  |c 2023 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.enbenv.2023.04.007 
520 3 |a In high-rise buildings with large indoor and outdoor temperature difference, neglecting the effect of stack effect in smoke exhaust shafts may cause calculation error of the fluid network model. In this paper, the mathematical model of kitchen smoke exhaust system considering the influence of stack effect was put forward and it can be inserted different range hood sub-models. Compared with the results of six working conditions of the model without considering the stack effect, the error of the proposed model were reduced by 7.6%, 4.3%, 4.1%, 2.8%, 2.4%, and 2.1%. While the indoor and outdoor temperature difference varies from −5 °C to 49 °C, the effect of stack effect on the pressure in the flue and the flow rate for each user was studied for six operating rates s. The results show that under the combined effect of stack effect and flue resistance, the static pressure of the kitchen smoke exhaust system showed a low-high-low distribution, and the maximum static pressure in the flue moved toward the bottom with the increase of temperature difference. User flow rates exhibit a low-high-low-high distribution, with an increased flow rate in the bottom users and the largest flow rate in the top users. © 2023 
650 0 4 |a Atmospheric temperature 
650 0 4 |a Buoyancy-driven 
650 0 4 |a Buoyancy-driven ventilation 
650 0 4 |a Central exhaust system 
650 0 4 |a Flow rate 
650 0 4 |a Flues 
650 0 4 |a High rise residential building 
650 0 4 |a High-rise residential buildings 
650 0 4 |a Housing 
650 0 4 |a Kitchen ventilation 
650 0 4 |a Kitchen ventilations 
650 0 4 |a Low-high 
650 0 4 |a Pressure effects 
650 0 4 |a Smoke 
650 0 4 |a Smoke exhaust systems 
650 0 4 |a Space heating 
650 0 4 |a Stack effect 
650 0 4 |a Tall buildings 
650 0 4 |a Temperature differences 
650 0 4 |a Ventilation 
650 0 4 |a Ventilation mathematical model 
700 1 0 |a Huang, K.  |e author 
700 1 0 |a Liu, X.  |e author 
700 1 0 |a Wang, R.  |e author 
700 1 0 |a Yu, M.  |e author 
773 |t Energy and Built Environment  |x 26661233 (ISSN)