Modeling and simulation of energy-related human-building interaction: A systematic review

被引:27
作者
Norouziasl, Seddigheh [1 ]
Jafari, Amirhosein [2 ]
Zhu, Yimin [3 ]
机构
[1] Louisiana State Univ, Bert S Turner Dept Construct Management, 3319 Patrick F Taylor Hall, Baton Rouge, LA 70803 USA
[2] Louisiana State Univ, Bert S Turner Dept Construct Management, 3315K Patrick F Taylor Hall, Baton Rouge, LA 70803 USA
[3] Louisiana State Univ, Bert S Turner Dept Construct Management, 3316C Patrick F Taylor Hall, Baton Rouge, LA 70803 USA
关键词
Human-building interaction; Modeling; Simulation; Occupant behavior; Building energy; OCCUPANT BEHAVIOR; POSTOCCUPANCY EVALUATION; COMFORT MANAGEMENT; PREDICTIVE CONTROL; STOCHASTIC-MODEL; CONSUMPTION; PERFORMANCE; SENSOR; BIM; TECHNOLOGY;
D O I
10.1016/j.jobe.2021.102928
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Building energy use is highly sensitive to its occupants' energy-related behavior, including their presence and interaction with different building systems. The modeling and simulation of energy-related human-building interaction play an essential role in predicting the actual energy use of a building's operation. The present study provides a systematic review of the existing literature focusing on energy-related human-building interaction modeling and simulation tools and techniques to determine the significant findings, current limitations, and future research directions in this area. The main contribution of this study is to provide a state-of-art framework of the inputs and outputs used for modeling and simulation of occupants' energy-use behavior. A list of 95 articles, containing journal papers and conference proceedings published in the last 15 years, is collected and analyzed based on various parameters such as modeling purpose, building type application, occupant-related parameters, occupant-related data source, occupant related data duration, modeling method and techniques, simulation and programming software, simulation time-step, and modeling and simulation output. In addition, a word mining analysis has been employed to generate a bibliographical map of the reviewed articles based on the most repetitive keywords and their connections. Finally, the most efficient and practical techniques in the modeling and simulation of energy-related human-building interaction and future research direction are presented.
引用
收藏
页数:20
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