Overlapping of cooking behavior in high-rise residential buildings
Overlapping of cooking behavior in high-rise residential buildings
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DOI：
10.1016/j.enbuild.2020.109764
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发表时间：
2020-03
影响因子：
6.7
通讯作者：
Yirui Wang;Jun Gao;Lingjie Zeng;Leqi Tong;Liu Guodong;Changsheng Cao
中科院分区：
文献类型：
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作者：
Yirui Wang;Jun Gao;Lingjie Zeng;Leqi Tong;Liu Guodong;Changsheng Cao
高层住宅集中式排油烟系统设计缺乏符合系数等与烹饪行为相关的参数。本研究调查了12层，14层和25层的住宅单位，通过使用温度计获得连续的温度曲线研究烹饪行为。利用Python语言识别温度梯度的突变点，将连续的温度曲线转化为一组仅由“0”和“1”组成的阶跃信号，消除干扰波动，确定转折点。数据处理后的住宅单元的小时重叠率高度相似。烹饪行为的抽象是服从正态分布的数学统计模型。利用主烹饪周期、峰度和偏度值、建模步长、重合因子峰值和峰值对应时间，建立了基于正态分布的典型烹饪行为模型。采用不同的修正系数对重合因子的峰值进行修正，可以将模型的适用范围扩展到任意高度的建筑物。此外，50%的重合系数可作为烟道截面和风机选型参数的设计参数。因此，所选择的风扇在烹饪时段期间满负荷并且在非烹饪时段期间具有低负荷，具有显著的节能潜力。
The design of a centralized cooking-fume exhaust system for high-rise residential buildings lacks the parameters related to cooking behavior, such as the coincidence factors. This study surveyed 12-, 14-, and 25-floor residential units by using a thermometer to obtain the continuous temperature profiles for study cooking behavior. Python was used to identify the breaks of temperature gradient, and continuous temperature profiles were transformed into a group of step signals consisting of only “0” and “1” while interfering fluctuations were eliminated and turning points were determined. The hourly overlapping rate of the residential unit after data processing is highly similar. The abstraction of cooking behavior is a mathematical statistical model that obeys normal distribution. A typical cooking behavior model based on normal distribution was established using the main cooking periods, kurtosis, and skewness values, the modeling step length, the peak value of the coincidence factors, and the time corresponding to the peak. Using different correction coefficients to correct the peak value of the coincidence factors can extend the application scope of the model to buildings of any height. In addition, the coincidence factor of 50% can be used as a design parameter for the flue cross section and fan selection parameters. Thus, the selected fan, which is fully loaded during cooking periods and has low load during non-cooking periods, has significant energy saving potential.