摘要
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 system efficiency of the solar heat pump and reduce energy consumption, the RBF neural network model of the solar corrector is built and the simulation model of other components are established. Based on the established models, the simulation model of the solar heat pump system is presented, which is verified with a certain building in Qingdao City. The results show that the simulation model and program of the system is feasible and effective.
出处
《水电能源科学》
北大核心
2011年第7期129-131,共3页
Water Resources and Power
基金
河南省教育厅科技攻关基金资助项目(2009B560005)
