Springerbriefs in energy mathematical and statistical approaches for anaerobic digestion feedstock optimization
Uiterlijk 3 december in huis
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.
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.
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Taal: en
Bindwijze: Paperback
Oorspronkelijke releasedatum: 11 april 2024
Aantal pagina's: 69
Hoofdauteur: Federico Moretta
Tweede Auteur: Federico Moretta
Hoofduitgeverij: Springer International Publishing Ag
Product breedte: 155 mm
Product lengte: 235 mm
Verpakking breedte: 155 mm
Verpakking hoogte: 5 mm
Verpakking lengte: 235 mm
Verpakkingsgewicht: 137 g
EAN: 9783031564598