基于精细化控制的供热系统节能分析

Energy Saving Analysis of Heat Supply System Based on Elaborate Control

摘要: 综合考虑气象条件、建筑性质、用户使用习惯等多种因素，采用神经网络算法对集中供热系统的热负荷进行了实时预测。结合建筑的热惰性、供热系统和传热过程的时滞性，采用分布式变频技术对主热源水泵和各用户的一次水泵进行主动连续调节。基于数据无线传输技术，实现了供热站与换热站的联动控制。将精细化控制用于西安某热力公司供热系统，取得了良好的运行和节能效果，节能率在50%以上，有较好的推广应用价值。

Abstract: Comprehensively considering various factors such as weather conditions, building properties, users’ habits and so on, the heat load of the district heating system is predicted in real time by using the neural network algorithm. To eliminate the effect of building thermal inertia, as well as the time delay in heat supply system and heat transfer process, the distributed frequency conversion technology is used to actively and continuously adjust the operating mode of the primary pumps in the heat source plant and each heat consuming installation. Based on data wireless transmission technology, the linkage control of heating station and heat exchange station is realized. The elaborate control strategy has achieved excellent operating state and energy saving effect when applied to a district heating system in a heat supply company in Xi’an. The energy saving rate is above 50%, which indicates great application value.