Centralized HVAC System Using Genetic Algorithm and Method Using The Same

摘要

A central air conditioning system using a genetic algorithm and an air conditioning method using the same are disclosed. According to an embodiment of the present invention, a centralized air conditioning system, comprising: a data input unit for receiving one or more of an external air condition, an initial air supply temperature, and an initial duct static pressure; Combines one or more mathematical formulas to obtain a system energy model, calculates system energy usage forecasts by substituting one or more of ambient conditions, initial air supply temperatures, and initial duct static pressures received from the data input section into system energy models, and estimates system energy usage forecasts. A final model derivation unit for comparing the actual system energy consumption with the final system energy model by deriving the final system energy model by repeating the model feedback process until the system energy usage prediction amount is within the error range of the actual system energy usage; The system calculated from the final system energy model under the condition that the final system energy model is the objective function of the genetic algorithm, the air supply temperature and duct static pressure are the variables of the genetic algorithm, and the set room temperature is maintained from the objective function using the genetic algorithm. An optimum value deriving unit for deriving an optimum air supply temperature and an optimum duct static pressure at which the energy use prediction amount is minimized; And it provides a centralized air conditioning system using a genetic algorithm and an air conditioning method using the same, characterized in that it comprises a drive unit for driving the HVAC according to the optimum air supply temperature and the optimum duct static pressure received from the optimum value deriving unit. .