TY  - BOOK
AU  - Moretta,Federico
AU  - Bozzano,Giulia
ED  - SpringerLink (Online service)
TI  - Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization
T2  - SpringerBriefs in Energy,
SN  - 9783031564604
AV  - TK1001-1841 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Electric power production
KW  - Mathematical models
KW  - Chemical engineering
KW  - Statistics 
KW  - Mechanical Power Engineering
KW  - Mathematical Modeling and Industrial Mathematics
KW  - Chemical Engineering
KW  - Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
KW  - Chemical Process Engineering
N1  - 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
N2  - 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.
UR  - https://doi.org/10.1007/978-3-031-56460-4
ER  -