Optimization Method For Air Handling Subsystem In The Heating Ventilating And Air-conditioning System

Since the founding of new China, people’s living level is increasing day by day, andthen central air conditioning has been accessed to millions of households, but its energyconsumption is very large. With the outbreak of the world’s energy crisis, people haverealized the importance of energy for social develop, although people are developing andusing of some renewable energy and resources, but theirs usage are far below thenon-renewable energy usage, so energy consumption has become an important factorrestricting the development of modern society.This thesis analyzes the heating ventilating and air-conditioning system large energyconsumption in order to achieve the minimum energy consumption of the air handlingsubsystem of the heating ventilating and air-conditioning system. On the basis of readingmany foreign and domestic references, it summarizes the development and status of theAHU (Air Handling Unit) in central air conditioner, and the structure characteristics andthe working principle of the central air conditioner and AHU are introduced. For thecharacteristics that nonlinearity, large time delay, multi disturbance have a serious impacton the AHU, through the genetic algorithm and fuzzy PID control strategy to optimalcontrol the air handling subsystem of the heating ventilating and air-conditioning system.According to the mathematical model of the important energy consumption components ofthe air handling subsystem of the heating ventilating and air-conditioning system, by usingthe genetic algorithm to find out the system optimal operating point, combining with thesystem optimal operating point, this thesis design an heating ventilating andair-conditioning terminal device of intelligent controller.The experiment can do under the laboratory experimental environment, withAdvantech IPC control simulation platform. The dates of room temperature, humidity, airsupply and the damper valve opening degree electrical signal are collected, and through theReal-Time-Target toolbox in the Matlab software which in the industrial control computerexperimental platform, the fuzzy PID controller will process the data which are collected, and adjust the degree of opening of the damper, then the temperature of the room will bechanged, so that the room temperature can reach the set value. At the same time, this thesisalso simulated the humidity changes as the results of the rainy weather, and the changes ofcooling load which caused by the increase or reduce of the personnel and equipment in theroom to verify the robustness of the controller. The above experiments were achieved theexpected control expect.