Artificial Intelligence in Biofuels Production offers a comprehensive guide to leveraging AI for optimizing and predicting biofuels production. AI tools can significantly enhance process efficiency and reduce costs in the biofuels industry. This book covers the use of biomass, biowaste, and wastewater as renewable feedstocks, and explores advancements in biodiesel and bioethanol production. Detailed chapters address topics such as bio-oil, aviation biofuels, biogas, bio-hydrogen, and bioelectricity, as well as the environmental and social impacts of biofuels, emerging technologies, energy policies, and global initiatives.
The book provides practical insights and examples of how AI models and equations can be used to predict optimal conditions for biofuels production, manage resources efficiently, and minimize waste. It also offers guidance on using AI to analyze datasets, enhance feedstock yield, and reduce environmental impacts. This invaluable reference is ideal for researchers, engineers, professionals, and industry entrepreneurs seeking to produce and commercialize biofuels while contributing to sustainability and achieving net-zero emissions.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xi 7. About the editor - p. xv 8. Foreword - p. xvii 9. Preface - p. xix 10. 1. An overview of biofuels with artificial intelligence - p. 1 11. 2. Waste materials as raw material for biofuel production - p. 45 12. 3. Advancement in biodiesel production and economic feasibility - p. 61 13. 4. Exploring the frontier of bioethanol production: real-time modeling - p. 85 14. 5. Bio-oil and aviation production: applications and upgradation - p. 123 15. 6. Biohythane as sustainable biofuel - p. 155 16. 7. Biofuels for aviation - p. 195 17. 8. Revolution in biogas production: pioneering - p. 221 18. 9. Biohydrogen as advanced biofuel - p. 255 19. 10. Bioelectricity and microbial fuel cells: principles, materials, and applications - p. 319 20. 11. Emerging technologies and innovations in biofuels - p. 369 21. 12. Regional and global biofuel initiatives, policies, and social impact - p. 391 22. 13. Biofuels for electricity production - p. 421 23. 14. Roadmap to net-zero emissions - p. 461 24. 15. From plant to fuel: Advances in modeling, simulation, and optimization strategies for biofuel production - p. 477 25. Index - p. 509
Artificial Intelligence in Biofuels Production offers a comprehensive guide to leveraging AI for optimizing and predicting biofuels production. AI tools can significantly enhance process efficiency and reduce costs in the biofuels industry. This book covers the use of biomass, biowaste, and wastewater as renewable feedstocks, and explores advancements in biodiesel and bioethanol production. Detailed chapters address topics such as bio-oil, aviation biofuels, biogas, bio-hydrogen, and bioelectricity, as well as the environmental and social impacts of biofuels, emerging technologies, energy policies, and global initiatives.
The book provides practical insights and examples of how AI models and equations can be used to predict optimal conditions for biofuels production, manage resources efficiently, and minimize waste. It also offers guidance on using AI to analyze datasets, enhance feedstock yield, and reduce environmental impacts. This invaluable reference is ideal for researchers, engineers, professionals, and industry entrepreneurs seeking to produce and commercialize biofuels while contributing to sustainability and achieving net-zero emissions.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xi 7. About the editor - p. xv 8. Foreword - p. xvii 9. Preface - p. xix 10. 1. An overview of biofuels with artificial intelligence - p. 1 11. 2. Waste materials as raw material for biofuel production - p. 45 12. 3. Advancement in biodiesel production and economic feasibility - p. 61 13. 4. Exploring the frontier of bioethanol production: real-time modeling - p. 85 14. 5. Bio-oil and aviation production: applications and upgradation - p. 123 15. 6. Biohythane as sustainable biofuel - p. 155 16. 7. Biofuels for aviation - p. 195 17. 8. Revolution in biogas production: pioneering - p. 221 18. 9. Biohydrogen as advanced biofuel - p. 255 19. 10. Bioelectricity and microbial fuel cells: principles, materials, and applications - p. 319 20. 11. Emerging technologies and innovations in biofuels - p. 369 21. 12. Regional and global biofuel initiatives, policies, and social impact - p. 391 22. 13. Biofuels for electricity production - p. 421 23. 14. Roadmap to net-zero emissions - p. 461 24. 15. From plant to fuel: Advances in modeling, simulation, and optimization strategies for biofuel production - p. 477 25. Index - p. 509
