Research On The Modeling Of Stochastic Energy Use Behavior For Residential Building

Accurate understanding of human behavior in a building is essential to the energy consumption prediction and energy saving assessment of the building. Research on the human behavior model is a foundation work to analyze, simulate and diagnose the energy consumption behavior. However, in the field of human behavior model research,there still lacks an effective "event mechanism" to describe human behavior quantitatively. Therefore, the paper firstly proposed a new description method to describe the energy consumption behavior in residential buildings, which analyze the behavior rules from the inherent decision-making mechanism. Secondly, it takes description method as a start point to establish energy consumption model and algorithm flow based on "subject and event mechanism",which focuses on the whole energy generation process from human moving behavior to energy consumption behavior. The core is: 1) generating the daily event unit according to the human behavior dynamics principle; 2) predicting the occurrence of energy behavior according to the behavior control logic.Combined with a case of Hangzhou urban households, the paper successfully make the simulation and presentation of the occupant energy consumption behavior model in the NETLOGO platform and achieve preliminary verification. The research results show that the new method can be effectively applied in the practice household case.What's more, it can provide a good algorithm flow for the latter integration of occupant mode to the building energy analysis software. Guided by the human energy consumption behavior model, more valuable research can be carried out, which will make regional energy consumption prediction and energy-saving works in line with the actual lifestyles of residents.