Solar Air Heater with Thermal Storage. Based on Research Findings

      Аннотация: Solar energy is an abundantly available natural resource; however it is highly time-dependent. Hence, the storage of thermal energy during sun shine hours will help to serve the demand during off-sunshine hours. This book presents the research findings on the performances of a forced convection solar air heater (FCSAH) using various thermal storage materials such as sand, gravel and iron scraps. The CFD simulation has been performed to study the effect of channel depth and to study the heat transfer of a flat plate solar air heater having different turbulent promoters such as iron and aluminum scraps on the absorber plate. In addition, neural network models (ANN and WNN) have also been developed. This book will be useful for the academicians and researchers to enhance their knowledge in FCSAH systems.

Ключевые слова: Solar energy, Solar collector, Efficiency, Neural Network, CFD