1st Edition
Artificial Intelligence for Biomass-based Biofuel Production Current Status and Prospects
This book covers all current technological, industrial status, and future prospects of biofuel production with the concept of artificial intelligence including environmental and socioeconomic impact assessment of biofuel production from lignocellulosic biomass. It discusses the status and future scope of artificial intelligence for the advancement of biofuel research. It summarizes machine learning models in addressing the issues of biofuel supply chains, case studies, scientific challenges, and future directions.
Features:
- Covers the use of machine learning within the context of the processing of advanced biofuel feedstocks for biofuel production
- Includes larger alcohols, ethers, levulinates, GTL fuels, and furans production using machine learning approach
- Discusses how machine learning and biomass-based biofuel production can be integrated
- Reviews sustainability and cost analysis of artificial intelligence–based biofuel production
- Explores prediction of the potentiality of lignocellulosic biomass for biofuel applications
This book is aimed at researchers and graduate students in energy and fuels, chemical engineering, and machine learning.
Chapter 1. An Overview of Lignocellulosic Biomass
Johnatt Allan Rocha de Oliveira, Eduardo Dellosso Penteado, Yvan Jesus Olortiga Asencios, Anthony Andrey Ramalho Diniz, Luiza Helena da Silva Martins, Andrea Komesu
Chapter 2. Lignocellulosic Biomass-based Biofuel Production
Eduardo Dellosso Penteado, Yvan Jesus Olortiga Asencios, Anthony Andrey Ramalho Diniz, Luiza Helena da Silva Martins, Johnatt Allan Rocha de Oliveira, and Andrea Komesu
Chapter 3. Present Status and Future Scope of Lignocellulosic Biomass-based Biofuel Production
Moumita Bishai
Chapter 4. An Overview of Artificial Intelligence and Machine Learning
Adwika Singh, Falguni Sharma, and Anshuman Shastri
Chapter 5. Artificial Intelligence and Its Application in Biofuel Production
Shivani Sahu and Arindam Kuila
Chapter 6. Machine Learning and Its Application in Biodiesel Production
Arpan Das
Chapter 7. Machine Learning and Its Application in Bioethanol Production
Gboyega E. Adebami, Silas Olukunle Fagbenro, Benjamin Ayodipupo Babalola, Khusboo Negi, Samakshi Verma, Bucola Christianah Adebayo-Tayo
Chapter 8. Artificial Intelligence in Enhancement of Bioethanol Production from Lignocellulosic Biomass
Arpan Das
Chapter 9. Current Status of Artificial Intelligence-based Biofuel Research
Arpan Das
Chapter 10. Life Cycle Assessment and Cost Analysis of Artificial Intelligence-based Biofuel Production
Malhar Santosh Kapadnekar, Shubham Sunil Behele, Mohd Haad Khan, Monika Kumari, Krishika Lakhmichand Budhani, Ramalingam Kayalvizhi, and Samuel Jacob
Chapter 11. Artificial Intelligence-based Microalgal Biofuel Production: Future Prospect, Limitation, and Challenges
Bilal Ahmad Mir, Ritu Kumari, Aman Deep Raju, Rachana Singh, Sheo Mohan Prasad, Parul Parihar, and Shefali Gulliya
Chapter 12. Artificial Intelligence and Machine Learning in Biofuels as Tools for Advancing Efficiency and Sustainability
Thiago José Machado, Anthony Andrey Ramalho Diniz, and Moisés Dantas dos Santos
Chapter 13. AI-Driven Optimization Strategies for Enhanced Biobutanol Production
Aditi Dey, Soumya Pandit, and Elvis Fosso Kankeu
Chapter 14. Harnessing the Potential of Microbial Electrochemical Systems with AI and ML
Garima Singh, Soumya Pandit, and Elvis Fosso Kankeu
Biography
Arindam Kuila is currently working as Assistant Professor at the Department of Bioscience & Biotechnology, Banasthali Vidyapith, Rajasthan, India. Previously, he worked as a research associate at Hindustan Petroleum Green R&D Centre, Bangalore, India. He did his PhD from Agricultural & Food Engineering Department, the Indian Institute of Technology Kharagpur, India, in 2013 in the area of lignocellulosic biofuel production. He was awarded Petrotech Research Fellowship in 2008. He has completed one Indo-Brazil collaborative project funded by DBT, India. Presently, he is handling another project on scale-up study of lignocellulosic bioethanol production funded by DST. He has guided eight PhD students, currently five PhD students are working under his guidance. He has published 15 edited books, 20 book chapters, 40 papers in high-impact peer-reviewed journals, and filled 6 patents (2 patents granted). He is editorial board member and acted as a guest editor for several high-impact journals. He is a member of the Biotech Research Society of India and the Association of Microbiologists of India.
Anshuman Shastri is currently working as Director at the Centre for Artificial Intelligence, Banasthali Vidyapith, Rajasthan, India. He has vast experience in the area of artificial intelligence. He did his PhD from Kent University, United Kingdom. Along with five additional nominations for major honors, he was awarded the International Young Scientist Award in 2020 and the International Young Researcher Award in 2021. Before the age of 28, each of them was accomplished. In addition, his profile is filled with accolades from extracurricular and academic pursuits, and he has won over 30 more medals, prizes, and recognitions for his outstanding work in quizzes, academics, cricket, and violin. He has published several high-impact peer-reviewed papers in the area of artificial intelligence.
