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.

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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

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