03329nam a22005775i 4500 978-3-031-56460-4 DE-He213 20251030111813.0 cr nn 008mamaa 240410s2024 sz | s |||| 0|eng d 9783031564604 978-3-031-56460-4 10.1007/978-3-031-56460-4 doi TK1001-1841 TH bicssc TEC031000 bisacsh TH thema Moretta, Federico. author. aut http://id.loc.gov/vocabulary/relators/aut 74999 Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization [electronic resource] / by Federico Moretta, Giulia Bozzano. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. VIII, 69 p. 25 illus., 16 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda SpringerBriefs in Energy, 2191-5539 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. . Electric power production. 65675 Mathematical models. 66910 Chemical engineering. Statistics . 65982 Mechanical Power Engineering. 65678 Mathematical Modeling and Industrial Mathematics. 66912 Chemical Engineering. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 66911 Chemical Process Engineering. 70315 Bozzano, Giulia. author. aut http://id.loc.gov/vocabulary/relators/aut 75000 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031564598 Printed edition: 9783031564611 SpringerBriefs in Energy, 2191-5539 71992 https://doi.org/10.1007/978-3-031-56460-4 ZDB-2-ENE ZDB-2-SXEN 59065 59065