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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20801 - Environmental biotechnology

Result continuities

  • Project

  • 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

  • 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

  • UT code for WoS article

    000551216800001

  • EID of the result in the Scopus database

    2-s2.0-85087511278