Modeling microbial diversity in anaerobic digestion through an extended ADM1 model.
The anaerobic digestion process comprises a whole network of sequential and parallel reactions, of both biochemical and physicochemical nature. Mathematical models, aiming at understanding and optimization of the anaerobic digestion process, describe these reactions in a structured way, the IWA Anaerobic Digestion Model No. 1 (ADM1) being the most well established example. While these models distinguish between different microorganisms involved in different reactions, to our knowledge they all neglect species diversity between organisms with the same function, i.e. performing the same reaction. Nevertheless, available experimental evidence suggests that the structure and properties of a microbial community may be influenced by process operation and on their turn also determine the reactor functioning. In order to adequately describe these phenomena, mathematical models need to consider the underlying microbial diversity. This is demonstrated in this contribution by extending the ADM1 to describe microbial diversity between organisms of the same functional group. The resulting model has been compared with the traditional ADM1 in describing experimental data of a pilot-scale hybrid Upflow Anaerobic Sludge Filter Bed (UASFB) reactor, as well as in a more detailed simulation study. The presented model is further shown useful in assessing the relationship between reactor performance and microbial community structure in mesophilic CSTRs seeded with slaughterhouse wastewater when facing increasing levels of ammonia.
INRA, UR50, Laboratoire de Biotechnologie de l'Environnement, Avenue des Etangs, Narbonne F-11100, France; Department of Automation, University of Ibague, Tolima, Colombia.
Ivan
I
Ramirez
Eveline I P
EI
Volcke
Rajagopal
R
Rajinikanth
Jean-Philippe
JP
Steyer
D000693:Anaerobiosis; D001419:Bacteria / Q000145:classification*; D019149:Bioreactors; D003198:Computer Simulation; D008954:Models, Biological; D014865:Waste Disposal, Fluid / Q000295:instrumentation / Q000379:methods*