Research On Energy Saving Optimization Of Water System Of HVAC Based On Genetic Ant Colony Hybrid Algorithm

In recent years,with the rapid development of the economy in our country,people are seeking for higher quality of life,and the demand for heating ventilating and air-conditioning(HVAC)system is increasing day by day.As an important component of modern buildings,HVAC system has improved people’s living and working environment,but it consumes a lot of energy,and its energy consumption accounts for more than half of the total energy consumption of buildings.The HVAC system mainly includes air treatment system and water system,in which water system accounts for the majority of the total energy consumption of HVAC system,so it is of great significance to study the energy-saving optimization of water system of HVAC.Aiming at this problem,the research status of HVAC system at home and abroad is understood through reading domestic and foreign related references,and the following research work is carried out.Firstly,the working principle of the HVAC system is described,and the energy consumption of each equipment of the HVAC system is analyzed.Based on the previous energy consumption model of chiller,chilled water pump,terminal fan,cooling water pump and cooling tower fan,the simplified treatment and improvement are carried out.Secondly,the physical constraints of each equipment in the HVAC system and the mutual constraints between the equipment are analyzed,and the objective function optimized by system is simplified through constraints.Then the energy consumption model of water system of HVAC is established.The experimental data of relevant variables is collected through experimental platform of the small HVAC system in our school and the parameters of the energy consumption model of each equipment are identified using the least square method and the accuracy of the model is verified.Finally,because the water system of HVAC has nonlinear,strong coupling,multivariable and complex characteristics,the accuracy of energy consumption model is required to be high.Therefore,combining the advantages of genetic algorithm and ant colony algorithm,a hybrid genetic ant colony algorithm is proposed in this paper.Through MATLAB simulation program,the simulation experiment is carried out under different working conditions,and the optimization results of genetic ant colony hybrid algorithm,genetic algorithm and ant colony algorithm are compared.At the same time,the optimization results of genetic ant colony hybrid algorithm and particle swarm algorithm are compared.The optimization results show that the genetic ant colony hybrid algorithm has fast convergence speed and high accuracy,which is conducive to improving the energy saving capacity of water system of HVAC.