About this document
Design and Optimization Project-Şahin Güngör-20171229 by sahin gungor is a document available to read on EtoBox.
This document discusses the optimization of heat transfer in ground source heat exchangers using a multiple regression model and hybrid regression techniques, including Artificial Neural Networks (ANN). It highlights the importance of energy efficiency and the role of heat exchangers in renewable energy systems, particularly in the context of increasing energy consumption and the need for sustainable solutions. The study employs various optimization algorithms to analyze and improve the thermal performance
- Author
- sahin gungor
- Language
- EN