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.Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Prof. El-Sayed Salama obtained his BSc degree in 2008 at the Faculty of Science, Benha University (Egypt). He pursued MSc and PhD degrees in 2016 from the Department of Earth Resources and Environmental Engineering, Hanyang University (South Korea). Followed by 3 years of working experience as a Post-Doc and Assistant Professor in the same department "under BK21 plus", funded by the Korean government. He was also hired as a Young Talent Fellow from 2018 to 2023 at the Department of Occupational and Environmental Health, School of Public Health, Lanzhou University (LZU) (China) and is now a full professor. Prof. Salama was listed in the top 2% Scientists Worldwide by Stanford University for three consecutive years.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780443267185
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Etat : New. Critically evaluates the role of artificial intelligence in the production and commercialization of biofuelsEvaluates and discusses artificial intelligence tools that may help in the improvement of biofuels production and commercialization. N° de réf. du vendeur 2388086459
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Taschenbuch. Etat : Neu. Neuware - 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. N° de réf. du vendeur 9780443267185
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