Artificial Intelligence in Biofuels Production

by El-Sayed Salama (Editor)

Overview

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.

- Critically evaluates the role of artificial intelligence in the production and commercialization of biofuels

- Evaluates and discusses artificial intelligence tools that may help in the improvement of biofuels production and commercialization

- Reviews current trends and the latest developments in biofuel technologies and the potential for efficiencies using artificial intelligence and machine learning

Product Details

ISBN-13:	9780443267192
Publisher:	Woodhead Publishing, Limited
Publication date:	11/17/2025
Series:	Woodhead Series in Bioenergy
Sold by:	Barnes & Noble
Format:	eBook
Pages:	350
File size:	36 MB
Note:	This product may take a few minutes to download.

About the Author

El-Sayed Salama is a Professor of Public Health School at Lanzhou University (LZU), and head of the Green Environmental & Energy Laboratory. He was a high-level foreign talent at LZU from 2018 to 2023 and recognized as a Distinguished Expert of Science & Technology in the Ecological Industry of Gansu Province between 2021 and 2023 (China). From 2016 to 2018, he was an Assistant Professor and Post-Doctoral researcher at Hanyang University after earning his MSc & PhD from Yonsei and Hanyang Universities between 2010 and 2016 (South Korea). He got his BSc degree in 2008 from the Faculty of Science, Benha University (Egypt). He oversees editorial duties for international journals and leads a research team in bioenvironmental sciences and bioenergy at LZU. Since 2021, Stanford University (USA) has ranked him in the top 2% of scientists worldwide

Table of Contents

1. An overview of biofuels2. Artificial intelligence tools used in biofuels processing3. Exploring the biomasses and biowastes as sustainable feedstocks4. Wastewater as raw material for biofuels production5. Advancement in biodiesel production and economic feasibility6. Exploring the Frontier of Bioethanol Production: Real-Time Modelling7. Bio-oil8. Biofuels for aviation9. Bio-hythane as sustainable biofuel10. Revolution in biogas production: Pioneering11. Bio-Hydrogen as advanced biofuel12. Bioelectricity13. Characteristics of biofuels for better understanding14. Environmental and social impacts of biofuels15. Emerging technologies and innovations in biofuels16. Biofuels and rural development17. Policies and regulations18. Regional and global biofuels initiatives19. Biofuels for electricity production20. Roadmap to net-zero emission

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From the Publisher

A comprehensive analysis of biofuels production using the latest AI-based technological advancements