为进一步提高太阳能热泵系统的集热效率、降低能耗,建立了太阳能集热器RBF神经网络模型,同时建立了其他部件的仿真模型。根据建立的系统各部分模型,构建了太阳能热泵系统仿真模型,并以青岛市某建筑物为例进行了验证。结果表明,该模型及程序可行、有效。 In order to further improve the heat collecting efficiency and reduce the energy consumption of the solar heat pump system, a RBF neural network model of solar collector was established and a simulation model of other components was also established. Based on the model of each part of the system, a simulation model of solar heat pump system is constructed, and a building in Qingdao is taken as an example to verify. The results show that the model and procedure are feasible and effective.