Research On Design And Control Strategy Of Air-Conditioning Terminal System Based Occupant Distribution

In actual living or working scenarios,the environmental requirements including temperature and CO₂ concentration etc.often show locality,personalized differences and region variability in a room.The main performances are as follows:a)the occupants'live regions in a room are often some local areas,in that,the whole room can be divided into areas with environmental adjustment needs and areas without environmental adjustment needs;b)considering gender,age and physical differences etc.,there is a certain difference in the requirements for indoor environmental requirements from person to person;c)most of the time,the occupants will inevitably change positions in a room,resulting in changes in the areas with environmental adjustment needs.However,when the traditional air-conditioning system regulates indoor environmental parameters,it is often assumed that the parameter distribution in the room has nothing to do with the spatial coordinates and only changes with time,which makes it difficult to meet the different environmental requirements at different local areas in a room at the same time.In order to solve the above-mentioned problems,this study revolves around the basic research on the design and control of air-conditioning terminal system to meet different environmental requirements at the same time in a room.First of all,in order to ensure the different environmental needs in different areas,this study established the optimization models of supply air temperature and indoor CO₂concentration.Through two optimization models,the supply air temperature and fresh air volume of each supply air outlet can be quickly calculated online.However,due to the movement of the occupants,the area with adjustment needs will have been changed before the supply air parameters reach the optimal settings.In view of this situation,this study further proposes the optimization model of the supply air temperature at the changes of demand areas and the optimization model of the CO₂ concentration at the changes of CO₂ source,and analyzes examples of the above four models.And the optimization results are verified that they have a good effect on the creation of indoor environment by Airpak.Secondly,the method of using visual sensor network to obtain the occupant distribution information is proposed,and the information is input into the control system of the terminal system,then the air-conditioning terminal system adapted to the occupant distribution is proposed.Basing the common occupant distribution scenarios,the efficient airflow distribution is designed in each scenario separately,and then these airflow should be evaluated by the proposed evaluation indicators which can evaluate the creation capacity of environmental difference of the airflow distribution.Finally,these chosen airflow distribution will be combined to get a complete set of airflow distribution.Then,the terminal system can switch the airflow distribution mode according to the occupant distribution information and combine the optimization models of supply air temperature and CO₂ concentration to quickly adjust the supply air parameters online.