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Research Article

An improved window opening behavior model involving the division of the dummy variable’s interval level: Case study of an office building in Xi’an during summer

Yaxiu Gu1,2, Tingting Wang1, Qingqing Dong1, Zhuangzhuang Ma1, Tong Cui1( ), Changgui Hu3, Kun Liu4, Song Pan5, Qian Qi6, Minyan Xie1
Department of Building Environment and Energy Engineering, School of Civil Engineering, Chang’an University, Xi’an 710061, China
State Key Laboratory of Green Building in Western China, Xi'an University of Architecture & Technology, Xi’an 710055, China
Hunan Architectural Design Institute, Changsha 410011, China
China United Engineering Corporation Limited, Hangzhou 310052, China
Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, China
Shaanxi Environmental Investigation and Assessment Center, Xi’an 710054, China
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Abstract

Window opening behavior significantly impacts indoor air quality, thermal comfort, and energy consumption. A field measurement was carried out in three typical rooms (a standard office, a meeting room and a smoking office) within an office building. The window state and the physical environment were continuously recorded during the measured periods. Three typical window opening behaviors were found in the measured samples, namely, active, moderate, and passive. The common logistic regression coefficient indicated that solar radiation exhibited the greatest effect on window opening behavior in the smoking office and standard office. Typically, window opening behavior in the meeting room was the most strongly correlated with time of the day, mainly because of the meeting schedule for occupants in the meeting room. This study discussed the dividing principles involved in setting the dummy variable interval level (discretizing continuous variables and dividing them into different intervals), and proposed a method to determine the optimal interval level of each variable. The improved model led to the increase in the prediction accuracy rate of the window being opened by 2.0% and 3.3% according to the comparison with the original model based on dummy variables and the common model based on continuous variables, respectively. This study can provide a reference value for simulating energy consumption in office buildings in the future.

Keywords

office buildingwindow opening behaviorinfluencing factorslogistic regression modeldummy variablesoptimal interval level

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Building Simulation
Volume 16 Issue 11,
November 2023
Pages 2123-2144
DOI: 10.1007/s12273-023-1047-8
Cite this article:
Gu Y, Wang T, Dong Q, et al. An improved window opening behavior model involving the division of the dummy variable’s interval level: Case study of an office building in Xi’an during summer. Building Simulation, 2023, 16(11): 2123-2144. https://doi.org/10.1007/s12273-023-1047-8

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Received: 09 January 2023
Revised: 02 May 2023
Accepted: 21 May 2023
Published: 14 September 2023
© Tsinghua University Press 2023
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