Cooling Load Prediction And Energy Saving Optimization Of Air Conditioning In Temporary Area Of An Airport Terminal

As a kind of large transportation hub building,airport terminal has the characteristics of complex building structure,wide space span,large flow of people and high indoor heat and humidity environment requirements,which challenges the energy-saving operation of air conditioning system in the terminal.The temporary stay area in the terminal has a high turnover rate and a short stay time,and the thermal comfort demand is lower than other functional areas in the terminal.However,the definition of temporary stay area in the current research is fuzzy.Therefore,it is of great significance to carry out research on cooling load prediction for temporary area of airport terminal for energy-saving operation of air conditioning system.Taking the air conditioning system in the temporary area of an airport terminal as an example,this paper studies the division of temporary area,cooling load prediction,and operation strategy optimization of the terminal equipment of the air conditioning system.The specific contents are as follows:First of all,the basic partition of the interior space of the terminal is carried out,and the temporary partition model and the cooling load partition model are established.By using AnyLogic Professional simulation software,combined with the basic definition of the temporary area,The areas with passenger flow rate greater than 0.54m/s and passenger density less than 0.51 people/m~2 per unit area are divided into temporary stay areas of a terminal,and the total cooling load required by the temporary stay area before optimization is determined.Secondly,the influence factors of cooling load in temporary area are further analyzed.Among them,the meteorological parameters have the greatest influence on cooling load is outdoor dew point temperature,followed by outdoor dry bulb temperature and total solar radiation at horizontal plane.The main energy consumption equipment of the airport air conditioning system was decomposed into water chiller,cooling water pump,cooling water pump,cooling tower and the system energy consumption model was established.OLS was used to identify the parameters of each equipment.The R~2 of the original model and the revised model were both greater than 0.8,and the R~2 of the primary function model was 0.797,with higher accuracy than the original model.Then,according to the characteristics of multi-unit parallel,multi-variable coexistence,multi-constraint conditions and nonlinearity of the air conditioning unit model,the heuristic optimization algorithm of artificial bee colony was adopted,By introducing nonlinear wave factor and adaptive exclusion factor,and enhancing local search ability,the optimal operation strategy can be solved.The results show that,compared with ABC,PSO and BAS-PSO algorithms,the number of iterations is reduced by 39 times on average,and the iteration time is shortened by 28.93%on average,which improves the operation efficiency of the chiller,the average saving rate of electricity charges reaches 4.76%.Finally,TRNSYS software was used for simulation,and the connection was established for each device component according to the use of the actual project and the information transmission mode between variables.A typical day was selected for simulation verification,and the temperature setting value of the air conditioning system in the temporary retention area was optimized.After optimization,the temperature setting value of the temporary retention area was increased by 0.97℃on average compared with that before optimization,and the energy consumption of the air conditioning system could be reduced by 3.74%-7.51%.The energy saving optimization of the air conditioning system was realized while meeting the thermal comfort requirements of human body.