Dynamic occupant density models of commercial buildings for urban energy simulation
Dynamic occupant density models of commercial buildings for urban energy simulation
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DOI：
10.1016/j.buildenv.2019.106549
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发表时间：
2020-02
影响因子：
7.4
通讯作者：
Chao Wang;Yue Wu;Xing Shi;Yanxia Li;Sijie Zhu;Xing Jin;Xin Zhou
中科院分区：
文献类型：
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作者：
Chao Wang;Yue Wu;Xing Shi;Yanxia Li;Sijie Zhu;Xing Jin;Xin Zhou
居住者的数量及其随时间的变化模式是建筑和城市能源模拟的关键信息。然而，通常使用的假设和简化的固定占用时间表并不能反映复杂的现实，导致能源模拟的重大错误。因此，动态乘员密度模型，更准确地描述了现实世界的情况下，应开发。本文提出了一种方法来开发这样的商业建筑模型，并将其从建筑水平扩展到城市水平。首先，在南京，在中国的一个主要城市，共2275个商业建筑，确定并分为三个子类别，使用兴趣点和逻辑回归。然后对12个样本商业建筑进行了实地测量，获得了每小时的居住密度。通过将正态分布函数拟合到实测数据中，建立了建筑层动态居住密度模型。最后，定义了交通可达性和人口水平这两个城市参数，并将建筑层的居住密度模型扩展到城市层。动态城市水平的居住密度模型进行了验证的所有三个子类的商业建筑和整体结果是可以接受的。
The number of occupants and its changing pattern over time are key information for building and urban energy simulation. However, the commonly used assumption and simplification of a fixed occupancy schedule does not reflect the complicated reality, leading to significant errors in energy simulation. Therefore, dynamic occupant density models which describe the real-world situation more accurately should be developed. This paper presents a methodology to develop such a model for commercial buildings and expand it from the building level to urban level. First, a total of 2275 commercial buildings in Nanjing, a major city in China, are identified and classified into three sub-categories using Points of Interest and logistic regression. Then field measurement is conducted to obtain the hourly occupant density for 12 sample commercial buildings. The building-level dynamic occupant density model is developed by fitting normal distribution functions into the measured data. Finally, transportation accessibility and population level, two urban parameters, are defined and used to expand the building-level occupant density model to the urban-level one. The dynamic urban-level occupant density model is verified for all three sub-categories of commercial buildings and the overall results are acceptable.