能量均衡控制中央空调出风口自适应分布仿真

Simulation of Central Air Conditioning Wind Nodes Adaptive Distribution Based on Network Energy Balance Control

大型建筑内中央空调出风口的自适应优化分布设计可以提高制冷性能,同时减少能耗。由于建筑物的不规则形,空调出风口分布节点阵列难以实现全网能量均衡优化。传统方法采用自适应模糊神经控制系统控制出风口的节点分布,然而算法自组织学习能力差,空调耗能难以实现最优控制。提出一种基于模糊自适应神经网络系统控制的空调节点自适应优化分布方案,采用全网能量均衡控制策略,优化空调出风口节点自适应分布。算法能实现以最小的耗能达到最优的制冷效果,实现全网络能量均衡控制,达到节能减排的要求。实验结果证明,算法能提高每个出风口节点的应用效能,降低能耗的同时增强了空调应用性能。

In large building of central air conditioning wind nodes adaptive optimization distribution design can improve therefrigeration performance, and reduce energy consumption. Due to the irregular shape of the air-conditioning of buildings,it is difficult to achieve balanced energy optimization of air distribution network node array. The traditional method usingadaptive fuzzy neural control system to control the node distribution outlets, however the algorithm self organizing learningability is poor, and the energy consumption of the air conditioner is difficult to achieve optimal control. A air conditioningnode adaptive optimization distribution scheme is proposed based on adaptive fuzzy neural network control system, the ener.gy balance control strategy is proposed, adaptive optimization of air conditioning outlet node distribution is obtained. The al.gorithm can achieve minimal energy consumption and achieve best cooling effect, and the whole network energy balancecontrol is realized, energy-saving emission reduction requirements are completed. Experimental results show that the algo.rithm can improve the application performance outlet node, reducing the energy consumption of air conditioning.