Study On Efficiency Optimization Strategy Of Central Air-Conditioning System

With the rapid development of the central air conditioning technology and wisdom city new concept propulsion, central air conditioning is increasingly used to different occasions, and then the energy loss is also associated with increased, so how to establish good central air-conditioning optimization control strategy become a problem we must solve, this article aims to reduce the wastage of the energy efficiency of air conditioning system. First will be the method of using multiple regression to affect the controlled variable of the dependent variable changes after fitting of uncontrollable variables by calculation of each variable and dependent variable (cooling load and the total power consumption) dimension reduction, the correlation coefficient between combination of selected indicators of than the big, determine all the characteristics of the index of the closely associated with the dependent variable, and multiple regression analysis is used to determine the dependent variable and all related controllable and uncontrollable variables between the final fitting relation, and to remove equipment control parameters of the day's other variable data, using the K - means clustering algorithm to get 5 groups cluster value. Finally, the optimal speed control strategy is obtained by solving the model with genetic algorithm, and the system efficiency is further improved by combining with simulated annealing algorithm.