摘要
对间歇运行模式下的太阳能热泵-低温地板辐射供暖系统进行了实验研究,综合分析了实验结果,在此实验数据基础上建立了基于BP网络的低温热水地板辐射供暖系统的预测控制模型,并以训练后的模型进行在线修正预测控制,预测平均相对误差为-0.06%,预测值与实验值的相关系数为0.9832,说明此模型是可行的。该模型的建立可以提高系统运行控制精度,增加室内舒适度。
According to experimental study of intermittently operated radiant floor heating system, the experimental results are synthetically analyzed. Predictive control model of low-temperature radiant floor heating system based on BP neural network is built with the experimental data, and the system is regulated by way of predictive control based on on-line correction. Mean predicting relative error of the model is -0.06 %, and correlation coefficient of predicting value and experimental value is 0.9832. The results show the model is feasible. Operation control accuracy of the system is increased and comfortable feeling of the room is improved by using the model.
出处
《建筑热能通风空调》
2006年第4期5-9,共5页
Building Energy & Environment
基金
山东省科技发展项目(011150105)
青岛市科技发展计划项目(03-2-sh-08)
关键词
地板辐射供暖系统
间歇运行模式
BP神经网络
预测控制
在线修正
radiant floor heating system, intermittent operation mode, BP neural network, predictive control, on-line correction
