Initial rates technique as a procedure to predict the anaerobic digester operation

Abstract In this study a novel and practical procedure was developed, that involves: initial methane production rate measurement in batch tests, kinetic parameters determination and modeling application in a continuous digester. The procedure was evaluated with three experimental conditions: raw sludge as substrate incubated at 35 °C and 55 °C and thermal pretreated sludge incubated at 35 °C. The initial specific methane production rate was fitted with the Monod type equation in order to calculate the kinetic parameters. The values obtained for the maximum specific methane production rate were 0.043, 0.143 and 0.052 gCH 4  gVS I −1  d −1 for each experimental condition, aforementioned. The substantial increment of this parameter at thermophilic condition shows the differences in the specific maximum growth rate between thermophilic and mesophilic populations. The affinity constant values were 3.842, 4.790 and 4.623 g L −1 for each experimental condition; however, a significant uncertainty was obtained due to some identification problems. A preliminary validation of the procedure was applied for predicting the operation of a continuous digester treating raw sewage sludge. The overall behavior of the system was represented by the model, although it slightly underestimates the experimental values, by approximately 20%. The results achieved, indicate that the procedure may be used as a tool in a real scale operation; however, further research must be performed.

[1]  Hélène Carrère,et al.  Impacts of thermal pre-treatments on the semi-continuous anaerobic digestion of waste activated sludge , 2007 .

[2]  A. Donoso-Bravo,et al.  Full-stream and part-stream ultrasound treatment effect on sludge anaerobic digestion. , 2010, Water science and technology : a journal of the International Association on Water Pollution Research.

[3]  Puspendu Bhunia,et al.  Analysis, evaluation, and optimization of kinetic parameters for performance appraisal and design of UASB reactors. , 2008, Bioresource technology.

[4]  Andres Donoso-Bravo,et al.  Application of simplified models for anaerobic biodegradability tests. Evaluation of pre-treatment processes , 2010 .

[5]  Barth F. Smets,et al.  Variability in kinetic parameter estimates: A review of possible causes and a proposed terminology , 1996 .

[6]  Frederick E. Petry,et al.  Principles and Applications , 1997 .

[7]  R Chamy,et al.  Influence of temperature on the hydrolysis, acidogenesis and methanogenesis in mesophilic anaerobic digestion: parameter identification and modeling application. , 2009, Water science and technology : a journal of the International Association on Water Pollution Research.

[8]  M. C. Tomei,et al.  Anaerobic degradation kinetics of particulate organic matter in untreated and sonicated sewage sludge: role of the inoculum. , 2008, Bioresource technology.

[9]  Xavier Font,et al.  Long term operation of a thermophilic anaerobic reactor: process stability and efficiency at decreasing sludge retention time. , 2010, Bioresource technology.

[10]  J. Baeyens,et al.  Principles and potential of the anaerobic digestion of waste-activated sludge , 2008 .

[11]  Padmanaban Kesavan,et al.  Practical identifiability of parameters in Monod kinetics and statistical analysis of residuals , 2005 .

[12]  M. Martín,et al.  Influence of inoculum–substrate ratio on the anaerobic digestion of sunflower oil cake in batch mode: Process stability and kinetic evaluation , 2009 .

[13]  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.

[14]  K. Krauth,et al.  Population dynamics in anaerobic wastewater reactors: modelling and in situ characterization , 1999 .

[15]  P. Mccarty,et al.  Bioassay for monitoring biochemical methane potential and anaerobic toxicity , 1979 .

[16]  Holger Dette,et al.  A practical guide for optimal designs of experiments in the Monod model , 2009, Environ. Model. Softw..

[17]  J. Rintala,et al.  Evaluation of kinetic coefficients using integrated monod and haldane models for low-temperature acetoclastic methanogenesis. , 2001, Water research.

[18]  Delia Teresa Sponza,et al.  Kinetic of carbonaceous substrate in an upflow anaerobic sludge sludge blanket (UASB) reactor treating 2,4 dichlorophenol (2,4 DCP). , 2008, Journal of environmental management.

[19]  Hariklia N Gavala,et al.  Mesophilic and thermophilic anaerobic digestion of primary and secondary sludge. Effect of pre-treatment at elevated temperature. , 2003, Water research.

[20]  G. A. Ekama,et al.  A steady state model for anaerobic digestion of sewage sludges , 2006 .

[21]  Iván López,et al.  Modelling of slaughterhouse solid waste anaerobic digestion: determination of parameters and continuous reactor simulation. , 2010, Waste management.

[22]  Isabelle Queinnec,et al.  Macroscopic modelling and identification of an anaerobic waste treatment process , 2003 .

[23]  W. Gujer,et al.  Mathematical model for meso- and thermophilic anaerobic sewage sludge digestion. , 2002, Environmental science & technology.

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

[25]  G. V. Straten,et al.  Estimation of BODst, respiration rate and kinetics of activated sludge , 1997 .

[26]  D J Batstone,et al.  Estimation of hydrolysis parameters in full-scale anerobic digesters. , 2009, Biotechnology and bioengineering.