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针对空调系统运行效率低下,且运行过程中子系统之间相互影响、相互制约的问题,本文基于分析方法提出一种空调系统多目标运行优化方法,以提高空调系统整体的运行效率。以某机场航站楼空调系统为研究对象,采用分析方法建立了空调系统的生产结构图,并根据生产结构将空调系统划分为3个子系统。在建立子系统分析模型的基础上,以3个子系统的最小损为优化目标,采用多目标粒子群优化算法(MOPSO)对空调系统的运行参数进行优化。针对某一典型日的运行工况对空调系统进行多目标优化,结果表明:相对于空调系统的原始控制方式,采用多目标运行优化方法可以有效减小空调各个子系统以及整个系统的损,使空调系统的运行效率明显提高,达到了节能的目的。
Aiming at the problem of low efficiency of air-conditioning system operation and the mutual influence between subsystems during operation, this paper proposes a multi-objective optimization method of air-conditioning system based on the enthalpy analysis method to improve the overall operating efficiency of the air-conditioning system. Taking the air-conditioning system of an airport terminal building as the research object, the production structure diagram of the air-conditioning system was established using the enthalpy analysis method, and the air-conditioning system was divided into three subsystems according to the production structure. Based on the analysis model of the subsystems and the minimization of the three subsystems as the optimization goal, the multi-objective particle swarm optimization (MOPSO) algorithm was used to optimize the operating parameters of the air conditioning system. The multi-objective optimization of the air-conditioning system is performed for a typical day’s operating conditions. The results show that: compared with the original control method of the air-conditioning system, the multi-objective operation optimization method can effectively reduce the air-conditioning system and the entire system of the damage. The operating efficiency of the air-conditioning system has been significantly improved, achieving the goal of energy conservation.