This book explores the urgent quest for sustainable energy solutions by examining potential renewable energy sources that meet global demands. As fossil fuels deplete at an alarming rate, this book addresses the critical challenges in selecting sustainable feedstocks and optimizing processes for industrial-scale biodiesel production. With a focus on Garcinia-gummi-gutta seeds as a promising feedstock, the book provides a detailed analysis of oil extraction, biofuel conversion, and the practical application of biodiesel in diesel engines.

Key concepts explored include selecting and optimizing transesterification variables, engine performance, and emission characteristics. The authors employ cutting-edge tools such as statistical design of experiments and artificial intelligence to offer insights into biodiesel production's physics, kinetics, and mechanics. Readers will discover experimental results, intelligent modeling techniques, and optimization strategies that enhance biodiesel yield and engine efficiency while minimizing emissions.

This resource is designed for engineers and researchers in renewable energy and biofuel production. It offers a systematic framework from feedstock selection to engine optimization, making it invaluable for those seeking to advance their knowledge in sustainable energy solutions. Whether you're a novice or a seasoned professional, this book provides the tools and insights needed to drive innovation in biodiesel production at an industrial scale.

Offers a selection of potential changes in sustainable feedstocks/raw materials Provides insights on biodiesel production, engine performance, and emissions Offers a systematic framework written for experimentation, modelling, and optimization

Autorentext

Dr. Manjunath Patel GC is an Assistant Professor in the Mechanical Engineering Department at PES Institute of Technology and Management, Shivamogga, India. He obtained Ph.D. in Mechanical Engineering with specialization in Manufacturing from National Institute of Technology Karnataka, Surathkal, India in 2015. Modelling and Optimization of Advanced Metal Casting, Welding and Machining Processes are the areas of Interest and specialization. Currently, he is doing research in advanced machining, and Hydrid Casting Processes. Mr. Ganesh R Chate is an Assistant Professor in Mechanical Engineering Department at KLS Gogte Institute of Technology Belagavi, Karnataka State, India. He holds a Master's degree in Production Management from KLS Gogte Institute of Technology, Belagavi.His research areas include manufacturing process, 3D printing, CAD and automation. Prof. Mahesh B Parappagoudar joined Indian Institute of Technology, Kharagpur in 2004 asa research scholar, in the mechanical engineering department under the quality improvement program funded by MHRD, Govt. of India. Further, he obtained his PhD degree in Mechanical Engineering from Indian Institute of Technology, Kharagpur - 721302, India in 2008. Presently he is working as the principal and professor in Padre Conceicao College of Engineering, GOA, INDIA. His total experience (Industry, Teaching,Research, and Administration) extends over a period of 28 years. His research interests include applicationof statistical and soft computing tools in manufacturing and industrial engineering. Prof. Kapil Gupta is an Associate Professor in the Dept. of Mechanical and Industrial Engineering Technology at the University of Johannesburg. He obtained Ph.D. in mechanical engineering with specialization in Avanced Manufacturing from Indian Institute of Technology Indore, India in 2014. Advanced machining processes, sustainable manufacturing, precision engineering and gear technology are the areas of his interest and specialization. Currently, he is doing research in advanced/modern machining, sustainable manufacturing and gear engineering.

Inhalt

Preface.- Introduction to Renewable Energy Resources and Sustainable Feedstocks for Biodiesel.- Studies on oil extraction, biodiesel production methods, and engine performance and emission characteristic.- Experimentation, Modelling, and Analysis of Biodiesel conversion and their engine performance and emission characteristics.- Artificial Intelligence Modelling of engine performance and emission characteristic.- Optimization of engine performance and emission characteristics.