Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization
Federico Moretta & Giulia Bozzano
Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization
Federico Moretta & Giulia Bozzano
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Omschrijving
The book integrates cutting-edge machine learning techniques and shows how the programming language Python and Julia can be used for analysis and to optimize processes.
Federico Moretta is a chemical engineering graduate from Politecnico di Milano. Now he is a Ph.D. student at the school of Chemical Industry and Chemical Engineering at Politecnico di Milano. His main project is about the characterization and optimization of anaerobic digestion processes. He has published various research articles in literature and presented research projects in congresses about mathematical modelling and data science of fermentative reactions and microorganism metabolism.
Giulia Bozzano is an Associate Professor of Chemical Engineering at the Department of Chemistry, Materials and Chemical Engineering Giulio Natta, Politecnico di Milano, where she obtained the M.Sc. degree and holds the course Fundamentals of Chemical Engineering for undergraduate students. She is the author of more than 120 scientific papers published across various peer-reviewed international journals and has about 2500 citations. She has been active in homogeneous and heterogeneous chemical reactors modelling, non-conventional equipment modelling (glass production furnaces, soap production plants, equipment for liquid-liquid extraction), complex kinetic schemes for gas and liquid pyrolysis (visbreaking, delayed coking, steam cracking, thermal degradation of plastics), fluid dynamics of diffusional turbulent flames and bubbles movement in liquids, characterization of complex hydrocarbon mixtures. Currently, her major interest is in anaerobic digestion modelling and optimization of biological processes for the production of sustainable energy, fuels, and biochemicals (i.e., methane, methanol, acetic acid). She supervises M.Sc. and Ph.D. thesis projects, coordinates research units in national projects with public funding, and leads industrial projects on technological advances and applied science in her research area.