摘要
基于数据包络分析方法构建了空调系统的运行基准面,并以运行基准面作为评估基准对空调系统的运行提高潜力进行了评估。采用分析的方法建立了空调系统的分析模型,通过粒子群优化算法(PSO)获取空调系统在一定运行工况下的理想运行状态。以某机场航站楼空调系统为研究对象,采用数据包络分析方法对5种控制策略进行了评估,结果表明:当采用机组优化启停策略时,空调系统的技术效率最高(为0.806),说明在该控制策略下系统的运行提高潜力最小(为19.4%),因此该控制策略为最优控制策略。根据技术效率的大小,进一步得到了5种控制策略的优劣排序。
Sets up an operation benchmark of air conditioning system based on the data envelopment analysis, and evaluates the improvement potential of air conditioning system based on the operation benchmark. Establishes an exergy analytical model of air conditioning system using the exergy analytical method, and obtains the ideal operating status of air conditioning system under certain operating conditions using the particle swarm optimization algorithm. Taking an airport terminal air conditioning system as the research object, evaluates five kinds of control strategies using the data envelopment analysis. The evaluation results show that the technical efficiency （0. 806） of optimal load allocation control strategy is larger than that of other control strategies, and its improvement potential is the minimum （19.4%） when compared with other control strategies, indicating that the optimal load allocation control strategy is the best one. According to the values of technical efficiency, obtains the ranking of the five kinds of control strategies.
出处
《暖通空调》
2018年第3期21-28,共8页
Heating Ventilating & Air Conditioning
基金
国家自然科学基金资助项目(编号:51376126)
关键词
空调系统
控制策略
运行提高潜力
数据包络分析
粒子群优化算法
技术效率
air conditioning system, control strategy, operation improvement potential, data envelopment analysis, particle swarm optimization algorithm, technical efficiency
