| 000 | 03329nam a22005775i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-56460-4 | ||
| 003 | DE-He213 | ||
| 005 | 20251030111813.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240410s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031564604 _9978-3-031-56460-4 |
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| 024 | 7 |
_a10.1007/978-3-031-56460-4 _2doi |
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| 050 | 4 | _aTK1001-1841 | |
| 072 | 7 |
_aTH _2bicssc |
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| 072 | 7 |
_aTEC031000 _2bisacsh |
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_aTH _2thema |
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| 100 | 1 |
_aMoretta, Federico. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _974999 |
|
| 245 | 1 | 0 |
_aMathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization _h[electronic resource] / _cby Federico Moretta, Giulia Bozzano. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
|
| 300 |
_aVIII, 69 p. 25 illus., 16 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringerBriefs in Energy, _x2191-5539 |
|
| 505 | 0 | _aWhat 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 | _aThis 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. . | ||
| 650 | 0 |
_aElectric power production. _965675 |
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| 650 | 0 |
_aMathematical models. _966910 |
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| 650 | 0 | _aChemical engineering. | |
| 650 | 0 |
_aStatistics . _965982 |
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| 650 | 1 | 4 |
_aMechanical Power Engineering. _965678 |
| 650 | 2 | 4 |
_aMathematical Modeling and Industrial Mathematics. _966912 |
| 650 | 2 | 4 | _aChemical Engineering. |
| 650 | 2 | 4 |
_aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. _966911 |
| 650 | 2 | 4 |
_aChemical Process Engineering. _970315 |
| 700 | 1 |
_aBozzano, Giulia. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _975000 |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031564598 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031564611 |
| 830 | 0 |
_aSpringerBriefs in Energy, _x2191-5539 _971992 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-56460-4 |
| 912 | _aZDB-2-ENE | ||
| 912 | _aZDB-2-SXEN | ||
| 999 |
_c59065 _d59065 |
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