Advertisement

Mathematical Simulation of Anaerobic Stratified Biofilm Processes

  • Fang Ming
  • John A Howell
  • Manuel Canovas-Diaz

Abstract

A modified stratified anaerobic biofilm model has been developed. The model represents anaerobic digestion by a simplified two population distributed ecosystem. The model was built to examine the benefits that stratification can bestow on the stability and overall dynamic response of the system. Computation was carried out using the orthogonal collocation method.

Dynamic simulation was used to show that stratified biofilm populations can withstand the effects caused by organic overloading, inhibition and intermittent loading and that the time taken for the VFA concentration to reach the steady state is mainly affected by the rate of glucose conversion to VFA.

Under certain conditions the model predicted that a sustained oscillation phenomenon would be especially marked in the methanogenic bacterial layer.

Keywords

Anaerobic Digestion Volatile Fatty Acid Collocation Point Glucose Conversion Volatile Fatty Acid Concentration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Andrews, J F (1969) J. Sanitary Eng. Div., Proc. Am. Soc. Civil Eng., P5, 541–0595.Google Scholar
  2. 2.
    Andrews, J F and Graef, S P (1971) in “Anaerobic Biological Treatment Processes”, (Ed) R F Gould, American Chemical Society.Google Scholar
  3. 3.
    Canovas-Diaz, M (1985) PhD Thesis, U C Swansea, Swansea, Wales.Google Scholar
  4. 4.
    Ramachandran, P A (1974), J. Appl. Chem. Biotechnol. 24, 265–275.CrossRefGoogle Scholar
  5. 5.
    Ferguson, N B and Finlayson, B A (1970), Chem. Eng. J., (1), 327–335.CrossRefGoogle Scholar
  6. 6.
    Fang Ming (1987) MSc Thesis, University of Bath, Bath. UK.Google Scholar
  7. 7.
    Kennedy, K J and Van den Berg, L (1982) Water Research 16, 1391–1398.CrossRefGoogle Scholar
  8. 8.
    Kennedy, K J, Muzar, M and Copp, G H (1985), Biotech, and Bioeng., 27, 86–93.CrossRefGoogle Scholar
  9. 9.
    Franck, U F (1980), Ber. Bunsenges. Phys. Chem. 84, 334–341.Google Scholar
  10. 10.
    Kennedy, K J and Van den Berg, L (1985), ‘Comprehensive Biotechnology’ (Eds) Moo-Young, M., Howell, J A and Robertson, E J. Vol. 4, 1027–1049, Pergamon Press, Oxford.Google Scholar
  11. 11.
    Canovas-Diaz, M and Howell, J A (1986), Biotech. Letters 5, 379–384.CrossRefGoogle Scholar
  12. 12.
    Lettinga, G (1984) in “Biomethane, Production and Uses”, Turret-Whatland Ltd., 144–164.Google Scholar
  13. 13.
    Canovas-Diaz, M and Howell, J A (1987), Biotech, and Bioeng. 30, 289–296.CrossRefGoogle Scholar
  14. 14.
    Duff, S J B and Kennedy, K J (1982), Biotech. Letters., 4, No.12, 8115–8120.Google Scholar
  15. 15.
    Ramachandran, P A (1975), Biotech, and Bioeng. 17, 211–226.CrossRefGoogle Scholar
  16. 16.
    Hess, B and Boiteux, A (1980), Ber. Busenges. Phys Chem 84, 346–351.Google Scholar

Copyright information

© Society of Chemical Industry 1989

Authors and Affiliations

  • Fang Ming
    • 1
  • John A Howell
    • 1
  • Manuel Canovas-Diaz
    • 2
  1. 1.School of Chemical EngineeringUniversity of BathBathEngland
  2. 2.Department of Biochemistry, Faculty of ChemistryUniversity of MurciaMurciaSpain

Personalised recommendations