Energy saving performances of central air-conditioning system and its optimal tactics.

In order to deal with the time-varying property, nonlinearity, multi-variables and large time delay characteristics of central air-conditioning system, ant colony optimization for power consumption of the whole system optimization was proposed. First a mathematical model of air-conditioning system energy consumption was established, and an ant colony algorithm for the model to minimize the power consumption optimization was adopted, then a variable pheromone coefficient algorithm and its convergence was analyzed. It is pointed out that the probability of 1 of the algorithm is converged to the optimal solution. At the same time, the the system control structure was transformated. The test results show that the self-adjustment of parameters of the new control method with dynamic load can be realized, and operation of all equipment in good working condition match better, and the average energy saving rate is up to 22.3%. [ABSTRACT FROM AUTHOR]