Literature DB >> 10022063

Mathematical modelling as a tool to study population dynamics between sulfate reducing and methanogenic bacteria.

S Kalyuzhnyi1, V Fedorovich, P Lens, L Hulshoff Pol, G Lettinga.   

Abstract

The existing mathematical models of sulphate fed anaerobic reactors are reviewed. Special attention was put on pecularities of the description of sulphide inhibition and competition between sulphate reduction and methanogenesis in such systems. The paper also presents an integrated mathematical model of the functioning of a sulphate fed granular sludge reactor taking into account concentration gradients on substrates, intermediates, products and bacteria inside the reactor as well as multiple-reaction stoichiometry and kinetics. The developed model includes the following blocks: a) hydrodynamic block describing liquid flow as well as transport and distribution of the components along the reactor height; b) kinetic block including growth, metabolism, inhibition and competition of acidogenic, acetogenic, methanogenic and sulphate reducing bacteria in the system; c) physico-chemical block for calculation of pH in each compartment of the liquid phase; d) transfer block describing a mass transfer of gaseous components from the liquid to the gas phase. The integrated model was calibrated and validated using laboratory studies on the functioning of sulphidogenic granular sludge reactors, i.e. their start-up and the maximization of sulphide yield in these reactors. The modelling of the reactor operation is supplemented with hypothetical computer simulations to illustrate the influence of engineering parameters on the operation performance and sulphate conversion of sulphidogenic reactors.

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Year:  1998        PMID: 10022063     DOI: 10.1023/a:1008339018423

Source DB:  PubMed          Journal:  Biodegradation        ISSN: 0923-9820            Impact factor:   3.909


  2 in total

1.  Dispersed plug flow model for upflow anaerobic sludge bed reactors with focus on granular sludge dynamics.

Authors:  Sergey V Kalyuzhnyi; Vyacheslav V Fedorovich; Piet Lens
Journal:  J Ind Microbiol Biotechnol       Date:  2005-04-08       Impact factor: 3.346

2.  Performance of CSTR-EGSB-SBR system for treating sulfate-rich cellulosic ethanol wastewater and microbial community analysis.

Authors:  Lili Shan; Zhaohan Zhang; Yanling Yu; John Justo Ambuchi; Yujie Feng
Journal:  Environ Sci Pollut Res Int       Date:  2017-04-21       Impact factor: 4.223

  2 in total

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