Model And Control Method Of Indoor Thermal Environment Of Wind And Solar Hybrid Heating System In A Residential Area In North China

Wind and solar hybrid system is a common multi-source complementary system.In recent years with the advocacy and promotion of country,there has been a breakthrough in the research of the relevant areas for application.The current research of the wind and solar hybrid system has been focused on energy conversion,collection and utilization,but less attention has been paid to the complementary heating system.In this paper,the wind and solar hybrid system was designed for the heating problem of rural residential buildings in the northern heating area,and the indoor thermal environment mechanism model was established.The control method of the model was studied and excellent control effect was obtained.In this paper,the whole process of wind and solar heating system was studied,and the mechanism and process of the influencing temperature were analyzed from the process of the specific influences on the thermal environment in the heating building.The heating end equipment was researched.The thermal model of the heating equipment is established for the fan coil,and then the model of the thermal environment mechanism was established.The thermal model was linearized and the relationship between the indoor temperature and the influencing factors was deduced.Secondly,the TRNSYS transient energy consumption simulation software was used to simulate the heating system.The changes of the room temperature in the winter heating condition were obtained,which was compared with the simulation results of the simulation model in Simulink environment.And the mechanism model was validated.Finally,the control system was used to determine the structure of the control system,and the model was simplified.The single loop PID control system and the Smith predictive control system were designed.Simulation analysis has been made for the control results.The control results of the two methods were compared.The optimal design of the controller was carried out based on the model fuzzy adaptive control method,and the experimental results were verified by simulation.The average absolute error of the temperature of the indoor all-day thermal environment is 0.7465 ? in the winter heating condition environment.The temperature of the reference temperature curve was compared with the reference value of the reference temperature curve.In proportion to the difference between the maximal and minimal measured temperature values,the time average of the absolute error is 8.15%.The system uses a single loop PID control method to stabilize near 650 s with an overshoot of 45%;Smith Predictive Control has adjusted the overshoot and improved it to 12.5%.The system optimized by the model-based Predictive Fuzzy Adaptive Control method has been improved in terms of dynamic performance,anti-jamming ability,adaptability and followability.