Artificial Intelligence in Biofuels Production

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.

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