Literature DB >> 24065871

Evaluation of Anaerobic Biofilm Reactor Kinetic Parameters Using Ant Colony Optimization.

Eswari Jujjavarapu Satya1, Chimmiri Venkateswarlu.   

Abstract

Fixed bed reactors with naturally attached biofilms are increasingly used for anaerobic treatment of industry wastewaters due their effective treatment performance. The complex nature of biological reactions in biofilm processes often poses difficulty in analyzing them experimentally, and mathematical models could be very useful for their design and analysis. However, effective application of biofilm reactor models to practical problems suffers due to the lack of knowledge of accurate kinetic models and uncertainty in model parameters. In this work, an inverse modeling approach based on ant colony optimization is proposed and applied to estimate the kinetic and film thickness model parameters of wastewater treatment process in an anaerobic fixed bed biofilm reactor. Experimental data of pharmaceutical industry wastewater treatment process are used to determine the model parameters as a consequence of the solution of the rigorous mathematical models of the process. Results were evaluated for different modeling configurations derived from the combination of mathematical models, kinetic expressions, and optimization algorithms. Analysis of results showed that the two-dimensional mathematical model with Haldane kinetics better represents the pharmaceutical wastewater treatment in the biofilm reactor. The mathematical and kinetic modeling of this work forms a useful basis for the design and optimization of industry wastewater treating biofilm reactors.

Entities:  

Keywords:  anaerobic biofilm reactor; ant colony optimization; inverse modeling; parameter estimation

Year:  2013        PMID: 24065871      PMCID: PMC3777650          DOI: 10.1089/ees.2012.0158

Source DB:  PubMed          Journal:  Environ Eng Sci        ISSN: 1092-8758            Impact factor:   1.907


  5 in total

1.  Parameter identification in dynamical models of anaerobic waste water treatment.

Authors:  T G Müller; N Noykova; M Gyllenberg; J Timmer
Journal:  Math Biosci       Date:  2002 May-Jun       Impact factor: 2.144

2.  Estimating biofilm reaction kinetics using hybrid mechanistic-neural network rate function model.

Authors:  B Shiva Kumar; Ch Venkateswarlu
Journal:  Bioresour Technol       Date:  2011-10-17       Impact factor: 9.642

3.  Optimization by simulated annealing.

Authors:  S Kirkpatrick; C D Gelatt; M P Vecchi
Journal:  Science       Date:  1983-05-13       Impact factor: 47.728

4.  The influence of high substrate concentrations on microbial kinetics.

Authors:  V H Edwards
Journal:  Biotechnol Bioeng       Date:  1970-09       Impact factor: 4.530

5.  Ant system: optimization by a colony of cooperating agents.

Authors:  M Dorigo; V Maniezzo; A Colorni
Journal:  IEEE Trans Syst Man Cybern B Cybern       Date:  1996
  5 in total

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