Energy Consumption Modeling And Simulation Of Variable Air Volume Air Conditioning System

With the development of science and technology,the intelligent building and comfort of life is more and more prominent,it will inevitably involve building energy consumption according to the survey,VAV central air-conditioning energy consumption is big which is in building energy consumption accounts for about 60%~70%,with the use of per capita housing area expansion,air conditioning energy consumption will follow up.So,it is very important to study the energy consumption of air conditioning system.The paper describes some characteristics and inner relation of the VAV air conditioning theory,establishes the mathematical model for the energy consuming equipment,the use of Simulink branch in MATLAB model for their package,and considering the relationship between equipment,and set up a theory on the level of energy consumption in VAV air conditioning system model,and make simulation analysis of the system's total energy consumption and the energy consuming equipment,the simulation results with high accuracy in a certain extent,this is prepared for the next optimization.Based on the energy consumption of the air conditioning system to build the model,with the low energy consumption as the objective function to determine optimal control variables,using the global searching ability of genetic algorithm to analyze system,the genetic toolbox of Simulink as the background,using M language to be the platform,M language as a bridge to directly control Simulink model by using the SIM function.The simulation model of optimal solution is applied to the operation of the system.The simulation results show that the total energy consumption of the system is lower than the conventional system,which verifies the feasibility of the genetic algorithm as the optimization algorithm.For the control of VAV air conditioning system,the room model as a control object,control transfer function model of the PID and fuzzy PID based on the comparison of the simulation curves show that the fuzzy PID is better than the conventional PID,the response time is rapid,overshoot of the system decreases obviously,namely fast and good stability.Nased on the energy function model to carry out a simple PID control by using toolbox of simulink,simulation results show that,under the influence of outdoor temperature,PID regulation have good control effect.