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Modified ADM1 for modeling free ammonia inhibition in anaerobic acidogenic fermentation with high-solid sludge

发布日期:2018-05-22 来源:环境微生物技术研究室   何璐 点击数:


Modified ADM1 for modeling free ammonia inhibition in anaerobic acidogenic fermentation with high-solid sludge

Jie Bai, He Liu*, Bo Yin, Huijun Ma, Xinchun Chen                                                                    ▼全文下载

School  of   Environmental  and   Civil  Engineering,  Jiangnan  University,  214122  Wuxi,  China  

ABSTRACT: This  Anaerobic  acidogenic  fermentation  with  high-solid  sludge  is  a  promising method for volatile fatty acid (VFA) production to realize resource recovery. In this study, to model inhibition by free ammonia in high-solid sludge fermentation, the anaerobic digestion model No. 1 (ADM1) was  modified  to s imulate  the VFA generation in batch,  semi-continuous  and  full  scale  sludge. The ADM1 was operated on the platform AQUASIM 2.0.  Three  kinds of inhibition forms, e.g., simple inhibition, Monod and non-inhibition forms, were integrated into the ADM1 and tested with the  real  experimental  data  for  batch  and  semi-continuous  fermentation,  respectively.  The improved particle swarm optimization technique was used for kinetic parameter estimation using the software MATLAB 7.0. In the modified ADM1, the Ks of acetate is 0.025, the km,ac is 12.51, and the KI_NH3 is 0.02, respectively. The results showed that the simple inhibition model could simulate the VFA generation accurately while the Monod model was the better inhibition  kinetics  form  in semi-continuous fermentation at pH 10.0.  Finally,  the  modified  ADM1 could successfully describe the VFA generation  and  ammonia  accumulation  in  a  30 m full-scale  sludge  fermentation  reactor,  indicating that the developed model can be applicable in high-solid sludge anaerobic fermentation.

KEYWORDS: High-solid sludge; 

ADM1;    
Semi-continuous;    
Full scale;    
Free ammonia inhibition   

GRAPHIC ALABSTRACT:

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JOURNAL: Journal of Environmental Sciences

YEAR: 2017