The solar collector is the heart of any solar energy collection system designed for operation
in the low to medium temperature ranges. So, an efficient design of solar collector system …

Artificial neural networks (ANN) have been widely used for thermal analysis of heat
exchangers during the last two decades. In this paper, the applications of ANN for thermal …

Miniature condensers utilizing mini/micro-channel has been recognized as one effective
technique for designing a compact heat rejection device. However, because of the complex …

The ability of thermal energy storage (TES) systems to facilitate energy savings, renewable
energy use and reduce environmental impact has led to a recent resurgence in their interest …

In this paper, an attempt has been made to review the applications of artificial neural
networks (ANN) for energy and exergy analysis of refrigeration, air conditioning and heat …

Flow boiling in mini/micro channels is a very effective technique for meeting the high
dissipating requirements of thermal management systems. However, accurate prediction of …

In this study, a feed-forward back-propagation artificial neural network (ANN) algorithm is
proposed for heat transfer analysis of phase change process in a finned-tube, latent heat …

Nusselt number (Nu), friction factor (f), and thermal performance factor (η) are effective
thermal parameters in determining the robustness of thermal management systems …

This paper presents an experimental investigation of the Coefficient of Performance (COP)'s
augmentation of an air conditioning system utilizing an evaporative cooling condenser. The …

This paper presents a neural network model to predict the effects of operational parameters
on the organic and inorganic sulfur removal from coal by sodium butoxide. The coal particle …