03459nam 22006495 450 991084759670332120240411084926.03-031-56460-X10.1007/978-3-031-56460-4(CKB)5860000000528032(DE-He213)978-3-031-56460-4(MiAaPQ)EBC31319660(Au-PeEL)EBL31319660(EXLCZ)99586000000052803220240410d2024 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierMathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization /by Federico Moretta, Giulia Bozzano1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (VIII, 69 p. 25 illus., 16 illus. in color.) SpringerBriefs in Energy,2191-55393-031-56459-6 What is anaerobic digestion? -- Reactions and operative conditions -- Energetic scenario in the XXI century -- Biomass in anaerobic digestion -- Biomass types and differences -- Principal biomass properties -- Experimental procedures -- Analytical methodologies.This book examines biomass mixture modeling and optimization. The book discusses anaerobic digestion and related fermentative processes and explains their compositional dynamics. Early chapter examine macromolecules, elemental fractions, and their direct influence on methane production. Supported by an extensive data bank of substrates obtained from research, the book points out correlations that enable the estimation of global methane production for diverse biomass mixtures. Furthermore, it provides valuable insights into discerning the optimal composition capable of yielding the utmost methane output. 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. It has many graphs, figures, and visuals. .SpringerBriefs in Energy,2191-5539Electric power productionMathematical modelsChemical engineeringStatisticsMechanical Power EngineeringMathematical Modeling and Industrial MathematicsChemical EngineeringStatistics in Engineering, Physics, Computer Science, Chemistry and Earth SciencesChemical Process EngineeringElectric power production.Mathematical models.Chemical engineering.Statistics.Mechanical Power Engineering.Mathematical Modeling and Industrial Mathematics.Chemical Engineering.Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Chemical Process Engineering.621.31Moretta Federicoauthttp://id.loc.gov/vocabulary/relators/aut1736453Bozzano Giuliaauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910847596703321Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization4156297UNINA