Performance Prediction of Ground-Water Heat Pump System Using Artificial Neural Networks

摘要：

This paper describes an application of artificialneural networks(ANNs)to predict the performance ofa ground-water heat pump system(GWHP).In orderto gather data for training and testing the proposedANN model,an experimental GWHP system wasoperated at steady state conditions.Utilizing someexperimental data for training,an ANN model basedon a multi-layered perception/back propagation wasdeveloped The performances of the ANN predictionswere tested using experimental data not employed inthe training process.The predictions usually agreedwell with the experimental values with the coefficientsof multiple determinations in the range of 0.947-0.9999,and mean relative errors in the range of1.3％-3.47％.The ANN approach shows high accuracyand reliability for predicting the performance ofGWHP systems.

作者: Hui Xie Li Liu Fei Ma

作者单位: School of Civil & Environment Engineering,University of Scfence and Technology Beijing,Beijing

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 880-885

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）