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Zustand: New. In.

Zustand: New.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Anaerobic digestion is by far the most important technology for providing clean renewable energy to millions of people in rural areas around the world. It produces biomethane with anaerobic-digestate as a byproduct that can be used as a biofertilizer. In the context of energy consumption, more than 85% of the total energy consumed currently comes from non-renewable fossil resources. A wide variety of biowastes can be used as feedstocks for biogas production. Biogas technology can provide sustainable, affordable, and eco-friendly green energy along with useful byproducts. This book discusses the basics of biogas production and aims to address the needs of graduate and postgraduate students as well as other professionals through further evaluation of biogas production via case studies.

Zustand: 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.

Paperback. Zustand: Brand New. 350 pages. 9.00x6.00x9.02 inches. In Stock.

Hardcover. Zustand: gut. 2022. Biogas In deutscher Sprache. pages.

Taschenbuch. Zustand: 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.