Linking CFD and Kinetic Models in Anaerobic Digestion Using a Compartmental Model Approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22320%2F20%3A43921765" target="_blank" >RIV/60461373:22320/20:43921765 - isvavai.cz</a>
Result on the web
<a href="https://www-mdpi-com.ezproxy.vscht.cz/2227-9717/8/6/703/htm" target="_blank" >https://www-mdpi-com.ezproxy.vscht.cz/2227-9717/8/6/703/htm</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/pr8060703" target="_blank" >10.3390/pr8060703</a>
Alternative languages
Result language
angličtina
Original language name
Linking CFD and Kinetic Models in Anaerobic Digestion Using a Compartmental Model Approach
Original language description
Understanding mixing behavior and its impact on conversion processes is essential for the operational stability and conversion efficiency of anaerobic digestion (AD). Mathematical modelling is a powerful tool to achieve this. Direct linkage of Computational Fluid Dynamics (CFD) and the kinetic model is, however, computationally expensive, given the stiffness of the kinetic model. Therefore, this paper proposes a compartmental model (CM) approach, which is derived from a converged CFD solution to understand the performance of AD under non-ideal mixing conditions and with spatial variation of substrates, biomass, pH, and specific biogas and methane production. To quantify the effect of non-uniformity on the reactor performance, the CM implements the Anaerobic Digestion Model 1 (ADM1) in each compartment. It is demonstrated that the performance and spatial variation of the biochemical process in a CM are significantly different from a continuously stirred tank reactor (CSTR) assumption. Hence, the assumption of complete mixed conditions needs attention concerning the AD performance prediction and biochemical process non-uniformities.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20801 - Environmental biotechnology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Processes
ISSN
2227-9717
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
6
Country of publishing house
CH - SWITZERLAND
Number of pages
12
Pages from-to
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UT code for WoS article
000551216800001
EID of the result in the Scopus database
2-s2.0-85087511278