A comprehensive model considering multiple types of occupant behavior for building energy performance prediction and simulation – taking a university campus as an example

能源消耗 妥协 计算机科学 空调 能量(信号处理) 能源性能 建筑工程 工作(物理) 感知 模拟 高效能源利用 工程类 社会科学 社会学 机械工程 统计 数学 电气工程 神经科学 生物
作者
Yan Ding,Wanyue Chen,Zhiyao Wang,Shian Maun Nicole Kueh,Shen Wei,Fan Yang
出处
期刊:Journal of Building Performance Simulation [Taylor & Francis]
卷期号:17 (2): 176-195
标识
DOI:10.1080/19401493.2023.2250310
摘要

AbstractOccupant behavior, encompassing occupant numbers and actions, significantly contributes to the uncertainty of building energy performance simulation. By characterizing the regularity of occupant behavior, it becomes feasible to evaluate its impact on building energy consumption and mitigate disparities between simulated and measured outcomes. This paper presents a comprehensive model that integrates two key aspects of occupant behavior to predict and simulate energy performance in campus buildings. The model introduces two distinct categories of equipment, namely environment-related equipment (e.g. lighting, air conditioning) and time-related equipment (e.g. water dispenser, printer), to account for the diverse factors that influence occupant behavior. The impact of occupant perception on the environment is considered to enhance simulation accuracy. Furthermore, this study compares the proposed model with models that consider only occupant number or occupant energy use behavior individually to assess its effectiveness in capturing the complexities of occupant behavior in energy performance simulations.KEYWORDS: Comprehensive modelCampus buildingsOccupancyEnergy use behaviorEnergy consumption simulation Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe author confirm that the data supporting the findings of this study are available within the article and its supplementary materials which states the relevant contents regarding the questionnaire. The questionnaire data are not publicly available due to restrictions their containing information that could compromise the privacy of research participants.Additional informationFundingThis work was supported by Nature Science Foundation of Tianjin [grant number 19JCQNJC07000].
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