LEADER 03459nam 22006495 450 001 9910847596703321 005 20240411084926.0 010 $a3-031-56460-X 024 7 $a10.1007/978-3-031-56460-4 035 $a(CKB)5860000000528032 035 $a(DE-He213)978-3-031-56460-4 035 $a(MiAaPQ)EBC31319660 035 $a(Au-PeEL)EBL31319660 035 $a(EXLCZ)995860000000528032 100 $a20240410d2024 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization /$fby Federico Moretta, Giulia Bozzano 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (VIII, 69 p. 25 illus., 16 illus. in color.) 225 1 $aSpringerBriefs in Energy,$x2191-5539 311 $a3-031-56459-6 327 $aWhat 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. 330 $aThis book examines biomass mixture modeling and optimization. The book discusses anaerobic digestion and related fermentative processes and explains their compositional dynamics. Early chapter examine macromolecules, elemental fractions, and their direct influence on methane production. Supported by an extensive data bank of substrates obtained from research, the book points out correlations that enable the estimation of global methane production for diverse biomass mixtures. Furthermore, it provides valuable insights into discerning the optimal composition capable of yielding the utmost methane output. The book integrates cutting-edge machine learning techniques and shows how the programming language Python and Julia can be used for analysis and to optimize processes. It has many graphs, figures, and visuals. . 410 0$aSpringerBriefs in Energy,$x2191-5539 606 $aElectric power production 606 $aMathematical models 606 $aChemical engineering 606 $aStatistics 606 $aMechanical Power Engineering 606 $aMathematical Modeling and Industrial Mathematics 606 $aChemical Engineering 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aChemical Process Engineering 615 0$aElectric power production. 615 0$aMathematical models. 615 0$aChemical engineering. 615 0$aStatistics. 615 14$aMechanical Power Engineering. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aChemical Engineering. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aChemical Process Engineering. 676 $a621.31 700 $aMoretta$b Federico$4aut$4http://id.loc.gov/vocabulary/relators/aut$01736453 702 $aBozzano$b Giulia$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910847596703321 996 $aMathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization$94156297 997 $aUNINA