Research On The Definition Of Occupant Behavior Model Of Office Building Based On Questionnaire Data Of Pearl River Delta

According to the latest data of the International Energy Agency,China’s petroleum consumption has surpassed that of the United States to become the world’s largest energy consumption country.Building energy consumption accounts for 40% of China’s energy consumption,which will become China’s largest energy consumption secter in the future.The energy consumption per square meter of large public buildings is far higher than that of residential buildings,which is the hottest topic of China’s building energy conservation plan.Among many factors affecting building energy consumption,occupant behavior is the key to building optimal design,energy consumption diagnosis,performance evaluation and quantitative modeling.At the same time,with the continuous development of social economy,people’s pursuit of low energy consumption and comfortable indoor environment is getting stronger.The contradiction between thermal comfort and energy consumption needs to be solved.Therefore,the study of occupant behavior is of great significance.At present,there are few studies discussing the application of typical human behavior models in office building considering thermal comfort,especially in the Pearl River Delta.A typical occupant behavior model for office building in the Pearl River Delta(PRD)region was investigated and defined in this study towards the impact of indoor environmental quality,building energy performance,regional energy design and other related studies in the region.As the benchmark object of energy consumption simulation in the Pearl River Delta,office building human behavior models can be used to evaluate the energy-saving effect and potential of various technologies,which is of great significance for building energy-saving technology research,policy formulation and market orientation.The specific research work and relevant conclusions are summarized as follows:First,a questionnaire survey was conducted within office buildings of nine cities in the Pearl River Delta region in 2019.The survey form was distributed both online and offline.A total of 873 valid results were achieved.Detailed investigations were conducted on indoor environmental parameters,air-conditioning equipment control,lighting equipment control,window control,curtain control,work type,location and basic personal information in office buildings.Based on a large number of questionnaire data,mathematical statistical methods were used to analyze the relationship among indoor environmental parameters and adaptive behavior,personnel time schedules,room cooling temperature settings as well as occupant behavior patterns.It is found that there is a strong correlation between the evaluation of temperature and humidity,and the indoor environment parameters that make office staff unsatisfied are more likely to affect their work efficiency.At the same time,in the face of the same temperature and humidity situation,the adaptive behavior among office workers is diversified,and the behaviors affect each other.This behavior also has large differences in different types of equipment.Then,the occupant behavior model was divided into the location model and the action model for setting in this study.Among them,the location model was applied to set the personnel time schedule,while the action model was divided into room cooling temperature setting value and typical user behavior mode.The specific content is divided into:(1)the K-means clustering method was used to obtain 8 main office schedules,which were then input into Markov chain model,and 8 kinds of random personnel time schedules were achieved by simulation.(2)The Ordered multi-class logistic regression method was used to establish the prediction model of the room cooling temperature set point,and when the model meet the requirements of inspection,the influencing factors of the model were analyzed.(3)Four main control behaviors of users in office buildings,namely HVAC,lighting,window and curtain,were analyzed,and four typical occupant behavior patterns were achieved by K-modes clustering method.At the same time,the probability of on / off of four typical occupant behavior patterns could be obtained through the independent event probability calculation formula,which was then input into De ST software,and the time schedule of the four types of random behavior was simulated.Finally,the relevant numerical simulation of the occupant behavior model of office buildings in the Pearl River Delta region was simulated.In occupant model(AO-1,WO-5,LO-3),the influence of the control behaviors of air conditioning,windows,lighting on the thermal comfort and cooling load in the building environment were simulated.It is worth noting that the indoor PMV-PPD index can not be directly simulated in De ST software,so the indoor wall temperature simulated by the software is studied.The indoor average radiation temperature is calculated by the relevant formula,and finally the indoor PMV and PPD are calculated according to the formula.The simulation results of indoor thermal comfort and cooling load under the condition of occupant behavior and fixed time schedule are compared,and the following conclusions were obtained:(1)Compared with the fixed time schedule,the dissatisfaction rate of PMV and the uncomfortable hours under occupant behavior model of office buildings in the Pearl River Delta are reduced by 83% and 85% respectively,which indicates that the simulation results of indoor thermal comfort under the occupant behavior model are more realistic.(2)Office users have the phenomenon of cold sensation,which means that there is still potential for energy saving.(3)It is found that the location mode of personnel has a relatively small impact on PMV,while the air-conditioning operation mode has a major impact on PMV.(4)The peak load of occupant behavior model is similar to that of fixed time schedule.However,the hourly load under the occupant behavior fluctuates greatly,indicating that even in the office building,the occupant behavior has a great impact on the room cooling load(energy consumption).This paper improves the research of the existing literature review on the influence of office building occupant behavior on room cooling load(energy consumption).