Performance prediction of solar air heater

ISBN-13: 9786202668392 / Angielski / Miękka / 2020 / 108 str.

Harish Kumar Ghritlahre;Ashfaque Ahmad

Opis

In this book, the working and construction details of solar air heater have been provided and also described the Artificial neural network (ANN) technique implementation for performance prediction. The aim of this book is to study the performance prediction of solar air heater using multi layer perceptron (MLP) model with relevant input parameters. The main objectives of this book are: (i) To develop neural model for prediction of thermal performance of solar air heater. (ii) Find out the relevant input parameters.

O autorze

Ghritlahre, Harish Kumar
Dr. Harish Kumar Ghritlahre received his Bachelor of Engineering (BE) from GEC Jagdalpur CG (2007), M.Tech from NIT Raipur CG (2012) and PhD from NIT Jamshedpur JH (2019), he is an Assistant Professor in Energy and Environmental Engineering department in Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai, Chhattisgarh, India.