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Investigation of maximum emergency guarantee duration of residential buildings during heating accidents
Science and Technology for the Built Environment ( IF 1.9 ) Pub Date : 2021-11-25 , DOI: 10.1080/23744731.2021.2004793
Yue Wu 1 , Lanbin Liu 1 , Yu Wang 1 , Rang Tu 1
Affiliation  

The maximum emergency guarantee duration (EGDmax) of residential buildings under heating accidents was investigated in this study. DeST was used to simulate the transient room temperature after heating accidents. First, theoretical analyses of the thermal processes of buildings during the heat seasons were conducted. The impact of shape factors, heat transfer coefficients of envelopes, indoor and ambient temperature, and air exchange rate on the EGDmax were investigated, and a corresponding database was developed. Based on this database, a neural network was adopted to predict the EGDmax for different scenarios. The results showed that when the initial indoor temperature increased by 2 °C, the EGDmax of 5 and 0 °C increased by 3–13 and 4–20 h, respectively. With a decrease in the comprehensive heat transfer coefficient of envelopes, the EGDmax of 5 and 0 °C increased by 5–17 and 10–27 h, respectively. The back-propagation neural network model based on the tanh function is the optimal prediction model to predict the EGDmax of 5 and 0 °C. And its root-mean-square errors are approximately 2.20 and 3.14, respectively.



中文翻译:

住宅建筑采暖事故最大应急保障时长研究

本研究调查了住宅建筑在发生供暖事故时的最大应急保障时长(EGD max)。DeST 用于模拟加热事故后的瞬态室温。首先,对热季期间建筑物的热过程进行了理论分析。研究了形状因素、围护结构传热系数、室内和环境温度以及空气交换率对 EGD max 的影响,并建立了相应的数据库。基于该数据库,采用神经网络来预测不同场景的 EGD最大值。结果表明,当初始室内温度升高 2 °C 时,EGD max5°C 和 0°C 分别增加 3-13 和 4-20 小时。随着围护结构综合传热系数的降低,EGD max 5°C 和0°C 分别增加5-17 小时和10-27 小时。基于tanh函数的反向传播神经网络模型是预测5°C和0°C EGD max的最佳预测模型。它的均方根误差分别约为 2.20 和 3.14。

更新日期:2021-11-25
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