Artificial Intelligence in Biofuels Production (Woodhead Series in Bioenergy) - Softcover

Softcover

ISBN 10: 0443267189 ISBN 13: 9780443267185

Verlag: Woodhead Publishing, 2025

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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

Von der hinteren Coverseite

Artificial Intelligence in Biofuels Production is a forward-looking guide on the role of artificial intelligence in biofuels production, optimization, modelling, and prediction. The book provides practical insights into the role of AI for the biofuels industry and demonstrates how AI tools can increase process efficiency and reduce costs. Comprehensively examining every aspect of biofuels production, the book discusses the utilization of biomass, biowaste, and wastewater as sustainable feedstocks, along with advancements in biodiesel and bioethanol production. Detailed chapters address bio-oil, biofuels for aviation, biogas, bio-hydrogen, bioelectricity, characteristics of biofuels, environmental and social impacts, emerging technologies, energy policies, global initiatives, electricity production, and a roadmap to achieving net-zero emissions. Each chapter provides guidance on how to use artificial intelligence tools, such as by analyzing datasets on feedstocks to maximize the growth and the yield of specific bio-components, and to reduce environmental impacts. The book also provides guidance on the application of AI models and equations to direct and predict the most desirable conditions for biofuels production (such as biotic and abiotic factors), process engineering and downstream processing, as well as the efficient management of resources (such as water, land, and crops) that lead to waste reduction. Artificial Intelligence in Biofuels Production is an invaluable reference for researchers, engineers, professionals, and industry entrepreneurs seeking to produce and commercialize biofuels, and will be of interest to anyone involved in biofuels and bioenergy.

Details zur Ausgabe

• Verlag: Woodhead Publishing
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 0443267189
• ISBN 13: 9780443267185
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 552
• Herausgeber: Salama
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar