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商品詳細
Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization.
・ISBN 978-3-031-56459-8 paper EUR 44.99
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| 著者・編者 | Moretta, Federico / Bozzano, Giulia, |
|---|---|
| シリーズ | (SpringerBriefs in Energy) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2024 |
| ページ数 | 69 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-40138＞ |
解説
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.