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Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization

Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization

Brand
Springer Nature
Manufacturer
N/A
Part Number
0
GTIN
9783031564604
Condition
New
Product Description

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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