ABSTRACT
In parallel with the development of computer technology and industrial manufacturing techniques, designs are becoming more original and more aesthetic, and functional outputs are getting widespread. Heat exchangers are the most widely used components in thermal-fluid engineering systems, especially for energy recovery, and the reuse of waste energy. Several models have been reported for the heat transfer in ground heat exchangers and heat pump systems. Regression analysis is used for estimating the relationships between the parameters of an engineering problem. The variables that are desired to predict outcomes by using a linear or nonlinear regression model are called target or dependent variables. The correlations between heat flux and each parameter that passed the monadic regression test are used in optimization analysis. It is found that heat flux depends on all other parameters except soil porosity and borehole depth. A three-dimensional numerical model for a vertical ground heat exchanger is simulated in the reference study using nine different input parameters.
