Pressure and flowrate distribution in central exhaust shaft with multiple randomly operating range hoods
Pressure and flowrate distribution in central exhaust shaft with multiple randomly operating range hoods
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多个随机操作抽油烟机的中央排气井压力和流量分布
DOI：
10.1007/s12273-021-0786-7
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发表时间：
2021-05
影响因子：
5.5
通讯作者：
Xihui Ding
中科院分区：
文献类型：
--
作者：
Lingjie Zeng;qi Tong;Jun Gao;Bowen Du;Chengquan Zhang;Lipeng Lv;Changsheng Cao;Xihui Ding
中国的高层住宅楼现在普遍采用中央烟道来排放烹饪油烟。所有楼层的抽油烟机都连接到中央竖井，油烟在那里收集并通过建筑物屋顶的出风口排出。由于家庭可能会在随机时间段内做饭和使用抽油烟机，因此COF耗尽的数量存在很大的不确定性。此外，用户还经常可以根据需要调整油烟机的排气量。结果，中央COF排气系统中随机出现了数千种可能的运行状态，包括开/关状态和风扇转速的不同组合，导致不同条件下的排气性能有很大差异。建立了高层住宅楼COF集中排风系统运行特性的数学模型及其迭代求解方法。为验证所提模型的有效性，进行了全尺寸试验，并结合实际30层建筑进行了CFD模拟。结果表明，在不同的系统运行条件下，该模型与CFD和实验数据吻合较好。此外，引入蒙特卡罗方法对系统的随机运行特性进行了模拟，并对不同系统运行条件下的10万个案例进行了抽样和统计分析。
Central flues are now commonly adopted in high-rise residential buildings in China for cooking oil fumes (COF) exhaust. Range hoods of all floors are connected to the central shaft, where oil fumes were gathered and exhausted through the outlet at the building roof. As households may cook and use their range hood at random periods, there is great uncertainty of the amount of COF being exhausted. In addition, users can often adjust the exhaust rate of the range hood according to their needs. As a result, thousands of possible operating conditions consisting of distinct combinations of on/off conditions and fan speed occur randomly in the central COF exhaust system, causing the exhaust performance to vary considerably from condition to condition. This work developed a mathematical model for characterizing the operation of the central COF exhaust system in a high-rise residential building as well as its iterative solving method. Full-scale tests coupled with CFD simulation referring to a real 30-floor building were conducted to validate the proposed model. The results show that the model agreed well with the CFD and experimental data under various system operating conditions. Moreover, the Monte-Carlo method was introduced to simulate the random operating characteristics of the system, and a hundred thousand cases corresponding to distinct system operating conditions were sampled and statistically analyzed.
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影响因子：
5.2
作者：
Weixue Cao;You Xueyi
通讯作者：
Weixue Cao;You Xueyi
影响因子：
7.3
作者：
E. L. Lehmann
通讯作者：
E. L. Lehmann
影响因子：
8.9
作者：
N. Zhang;B. Han;F. He;Jia Xu;Ruo-jie Zhao;Yujuan Zhang;Z. Bai
通讯作者：
N. Zhang;B. Han;F. He;Jia Xu;Ruo-jie Zhao;Yujuan Zhang;Z. Bai
影响因子：
7.4
作者：
Jordan D. Clark;G. Rojas;I. Walker
通讯作者：
Jordan D. Clark;G. Rojas;I. Walker
DOI：
10.1007/0-387-27605-x
发表时间：
2005
期刊：
--
影响因子：
--
作者：
G. Casella;I. Olkin;S. Fienberg
通讯作者：
G. Casella;I. Olkin;S. Fienberg