Moretta, Federico. creator author. aut http://id.loc.gov/vocabulary/relators/aut Bozzano, Giulia. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access VIII, 69 p. 25 illus., 16 illus. in color. online resource. 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. . 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. by Federico Moretta, Giulia Bozzano. Electric 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 TK1001-1841 9783031564604 https://doi.org/10.1007/978-3-031-56460-4 https://doi.org/10.1007/978-3-031-56460-4 240410 20251030111813.0 978-3-031-56460-4