基于预测的复合地源热泵系统控制方法实现.doc

文档介绍：基于预测的复合地源热泵系统控制方法实现
张文松,王学文
(华中科技大学环境科学与工程学院,湖北武汉 430074)
摘要:在冬冷夏热且夏季冷负荷远大于冬季热负荷的地区常采用带有冷却塔的复合式地源热泵系统,其控制策略存在极大的优化空间。文章提出了直接比较冷却塔和与土壤换热器相连的板式换热器的出口温度的控制方法,并通过人工神经网络预测板式换热器机组侧的出口水温来实现此控制方法。通过FLUENT软件建立复合式地源热泵系统动态数值模型,获取建立神经网络的数据,采用3层BP网络,,采用神经网络可以准确实现此预测,℃。
关键词:地源热泵; 土壤换热器; 板式换热器; 人工神经网路; 预测模型
中图分类号: 文献标识码:A
Study on predictive control of hybrid ground source heat pump system
ZHANG Wen-song,WANG Xue-wen
(School of Environment Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074,China)
Abstract: Hybrid ground source heat pump systems are applied in areas where the cooling load is much larger than heating load. Huge freedom exists in the control methods. A new control strategy is proposed, that is, pare water temperatures exiting the cooling tower and plate heat exchanger (PHE) coupled with ground heat exchanger (GHE) directly. However, only one of the two temperatures can be measured timely so artificial work (ANN) is introduced to predict the cooling water temperature at outlet of PHE . A dynamic numerical simulation of hybrid ground source heat pump system based on FLUENT is employed to generate the monitoring data which are then used to train and test ANN models. Results show that ANN can be used to predict the water temperature at outlet of the PHE exactly with the absolute error less than ℃.