ARPN Journal of Agricultural and Biological Science       ISSN 1990-6145
   
Custom Search
 
 
 

 
ARPN Journal of Agricultural and Biological Science                              June 2018 | Vol. 13  No. 6
 
Title:

Numerical model estimation of biomethane production using an anaerobic CSTR: Model formulation, parameter estimation and uncertainty/sensitivity analysis

Author (s):

Hatem Yazidi, Geraint Bevan, Joseph V Thanikal, Ole Pahl and Colin Hunter

Abstract:

In this paper, an innovative complex numerical model is proposed for simulating the anaerobic biogas production potential of organic waste materials both for full-scale anaerobic plant design and operation decisions and for laboratory and pilot scale co-digestion research. The model facilitates, in particular, the understanding of co-digestion and mixture effects by application of uncertainty and global sensitivity analysis. This allows multi-dimensional parameter analysis so that uncertainties and the main sensitivities can be identified among the model parameters, with a special focus on those leading to digester failure. The initial application of the complex model to ongoing lab-scale anaerobic co-digestion processes revealed that the hydrolysis and acidogenesis phases are the most affecting steps of the methane production. In particular, the following parameters have been found to contribute the most to the variance of the complex modelís estimate of methane production: polymer hydrolysis rate; specific acidogens maximum growth rate; saturation constant for acidogens, the specific acetoclastic methanogens maximum growth rate; saturation constant for acetoclastic methanogens; and the gas-liquid mass transfer coefficient for methane.

 
       
 
Full Text  

 

 

     

  

   

  

  

 

 

       arpnjournals.com                                                       Publishing Policy                                                  Review Process                                           Code of Ethics