Biofuel Production, Performance, and Emission Optimization - Patel G. C., Manjunath; B Suresh, Ajith; Jagadish; - Prospero Internetes Könyváruház

 
A termék adatai:

ISBN13:9783031848056
ISBN10:3031848055
Kötéstípus:Puhakötés
Terjedelem:189 oldal
Méret:235x155 mm
Nyelv:angol
Illusztrációk: 13 Illustrations, black & white; 52 Illustrations, color
700
Témakör:

Biofuel Production, Performance, and Emission Optimization

A Comprehensive Approach to Modelling and Optimization
 
Kiadó: Springer
Megjelenés dátuma:
Kötetek száma: 1 pieces, Book
 
Normál ár:

Kiadói listaár:
EUR 117.69
Becsült forint ár:
51 159 Ft (48 723 Ft + 5% áfa)
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Az Ön ára:

47 066 (44 825 Ft + 5% áfa )
Kedvezmény(ek): 8% (kb. 4 093 Ft)
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  példányt

 
Rövid leírás:

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.

Hosszú leírás:

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.

Tartalomjegyzék:

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.