Identifying anaerobic digestion models using simultaneous batch experiments

Mathematical models have become a valuable tool to study the anaerobic digestion process, to guide plant design and optimize operation strategies. Models require accurate and significant parameter values for being useful. Although the identification problem is an issue of concern, often is neglected. The described method for model calibration consists on the performance of simultaneous batch experiments (SBE), which requires simple and usually available equipment, and is based on the analysis of the responses obtained when starting from different initial conditions. The objectives of the present work are to analyze the SBE method, illustrating and discussing the required steps, and to contribute to its systematization.

[1]  Peter A. Vanrolleghem,et al.  Practical Identifiability of a Biokinetic Model of Activated-sludge Respiration , 1995 .

[2]  D J Batstone,et al.  Kinetics of thermophilic, anaerobic oxidation of straight and branched chain butyrate and valerate , 2003, Biotechnology and bioengineering.

[3]  J Keller,et al.  A review of ADM1 extensions, applications, and analysis: 2002-2005. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[4]  Peter A. Vanrolleghem,et al.  Identification of biodegradation models under model and data uncertainty , 1996 .

[5]  B. Ahring,et al.  Identifiability study of the proteins degradation model, based on ADM1, using simultaneous batch experiments. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[6]  G Lyberatos,et al.  Application of ADM1 for the simulation of anaerobic digestion of olive pulp under mesophilic and thermophilic conditions. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[7]  D J Batstone,et al.  Use of an anaerobic sequencing batch reactor for parameter estimation in modelling of anaerobic digestion. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[8]  B. Ahring,et al.  A mathematical model for dynamic simulation of anaerobic digestion of complex substrates: Focusing on ammonia inhibition , 1993, Biotechnology and bioengineering.

[9]  T. H. I. Jaakola,et al.  Optimization by direct search and systematic reduction of the size of search region , 1973 .

[10]  Rein Luus,et al.  Reliability of optimization procedures for obtaining global optimum , 1978 .

[11]  Irini Angelidaki,et al.  Parameter identification of thermophilic anaerobic degradation of valerate , 2003, Applied biochemistry and biotechnology.

[12]  Juan M. Lema,et al.  Methanogenic and non-methanogenic activity tests. Theoretical basis and experimental set up , 1993 .

[13]  G. Lyberatos,et al.  Influence of anaerobic culture acclimation on the degradation kinetics of various substrates. , 2001, Biotechnology and bioengineering.

[14]  James V. Beck,et al.  Parameter Estimation in Engineering and Science , 1977 .

[15]  A. Guwy,et al.  Anaerobic Biodegradation, Activity and Inhibition (ABAI) Task Group Meeting 9th to 10th October 2006, in Prague , 2007 .

[16]  X Flotats,et al.  Hydrolysis kinetics in anaerobic degradation of particulate organic material: an overview. , 2008, Waste management.