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Mathematical and statistical approaches for anaerobic digestion feedstock optimization

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical and statistical approaches for anaerobic digestion feedstock optimization/ by Federico Moretta, Giulia Bozzano.
Author:	Moretta, Federico.
other author:	Bozzano, Giulia.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	viii, 69 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Biomass energy. -
Online resource:	https://doi.org/10.1007/978-3-031-56460-4
ISBN:	9783031564604

Mathematical and statistical approaches for anaerobic digestion feedstock optimization
Moretta, Federico.

Mathematical and statistical approaches for anaerobic digestion feedstock optimization[electronic resource] /by Federico Moretta, Giulia Bozzano. - Cham :Springer Nature Switzerland :2024. - viii, 69 p. :ill., digital ;24 cm. - SpringerBriefs in energy,2191-5539. - SpringerBriefs in energy..

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.

ISBN: 9783031564604

Standard No.: 10.1007/978-3-031-56460-4doiSubjects--Topical Terms:

683849
Biomass energy.

LC Class. No.: TP339

Dewey Class. No.: 662.88

Mathematical and statistical approaches for anaerobic digestion feedstock optimization
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100 1 $a Moretta, Federico. $3 3715241
245 1 0 $a Mathematical and statistical approaches for anaerobic digestion feedstock optimization $h [electronic resource] / $c by Federico Moretta, Giulia Bozzano.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a viii, 69 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in energy, $x 2191-5539
505 0 $a 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.
520 $a 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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650 0 $a Anaerobic bacteria. $3 659823
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650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Chemical Engineering. $3 959567
650 2 4 $a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 3591853
650 2 4 $a Chemical Process Engineering. $3 3595082
700 1 $a Bozzano, Giulia. $3 3715242
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950 $a Energy (SpringerNature-40367)