Performance evaluation of ground source heat pump using linear and nonlinear regressions and artificial neural networks

• An experimental database containing influential parameters and heat transfer capacity was compiled using literature-based data collection and on-site measurement. • Linear and nonlinear regression models were adopted to evaluate the heat transfer performance of GSHP. • BP neural networks were empl...
Ausführliche Beschreibung

• An experimental database containing influential parameters and heat transfer capacity was compiled using literature-based data collection and on-site measurement. • Linear and nonlinear regression models were adopted to evaluate the heat transfer performance of GSHP. • BP neural networks were employed to develop a prediction model for evaluation of heat transfer capacity of GSHP. • A parametric analysis using the trained ANN model was conducted to predict the trend of heat transfer capacity as a function of each parameter. Ausführliche Beschreibung