Study On Energy-saving Technology Of Central Air-conditioning System

Nowadays,the central air-condition system has been applied widely in building construction.The core of this system is the intelligent fuzzy controller,which can adjust parameters automatically to ensure that the whole system is in an optimum state according to the value of time-varying and time-lag While there are some drawbacks of fuzzy controller,for instance,it cannot work properly in complex load-varying situation because of steady state error in controlling air quantity.Besides,with the increasing living standards,the requirements of life quality have been increased.It is more and more important to set up thermal comfort predictive model.Firstly,we explained the traditional temperature control air conditioning mode,which is not a fast,comfortable,energy-saving,indoor damp and hot environment parameter control method.PMV,the index of thermal comfort,has become a hot spot in the industry in this decade due to its ability of measuring the comprehensive effect.By tuning in a comfortable range,will point into the human body itself,to overthrow the traditional air conditioning control mode.The thermal comfort control "people-oriented",effectively solves the problems of traditional air conditioning temperature control mode.Secondly,the redundancy of the BP neural network are pointed out,such as slow convergence speed,so the introduction of ant colony algorithm to optimize neural network,in the Matlab programming model to predict PMV index,compare the two methods,the use of ant colony algorithm after setting the BP neural network algorithm,not only speed up the convergence speed of the algorithm,and in ensuring accuracy at the same time greatly improve the performance of the BP neural network.Finally,the introduction of improved ant colony algorithm to optimize neural network,BP model can well done to the selection of parameters.Again,using the thermal comfort PMV prediction model has been established and the actual measured indoor thermal comfort PMV value difference as feedback variables,establish fuzzy controller based on the thermal comfort PMV,simulation,and compares the traditional PID control,the simulation results show that the fuzzy controller based on the thermal comfort PMV has advantages of good comfort,small overshoot,fast response speed,etc.Finally,we discussed the air conditioning control method of personnel and the influence of the system,although the winter PMV for 0.5 control method for single experiment in room air conditioning system energy consumption will increase,after a macro analysis shows that the control method for the large air conditioning system significantly reduces the total energy consumption.Therefore,two aspects of comprehensive comfort and energy saving,the thermal comfort index PMV control air conditioning system is superior to the traditional way of tenperature control air conditioning.To achieve fast and efficient regulation of building the layers of air conditioning heat comfort,can guarantee the air conditioning system can run efficiently in all load conditions,so as to minimize energy consumption of air conditioning system.