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Approach of describing dynamic production of volatile fatty acids from sludge alkaline fermentation
[Display omitted] •A model was developed to describe the sludge alkaline fermentation process.•The model proposed successfully reproduced the experimental data.•FA rather than alkaline condition was the major reason for SCFA accumulation. In this work, a mathematical model was developed to describe...
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Published in: | Bioresource technology 2017-08, Vol.238, p.343-351 |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | [Display omitted]
•A model was developed to describe the sludge alkaline fermentation process.•The model proposed successfully reproduced the experimental data.•FA rather than alkaline condition was the major reason for SCFA accumulation.
In this work, a mathematical model was developed to describe the dynamics of fermentation products in sludge alkaline fermentation systems for the first time. In this model, the impacts of alkaline fermentation on sludge disintegration, hydrolysis, acidogenesis, acetogenesis, and methanogenesis processes are specifically considered for describing the high-level formation of fermentation products. The model proposed successfully reproduced the experimental data obtained from five independent sludge alkaline fermentation studies. The modeling results showed that alkaline fermentation largely facilitated the disintegration, acidogenesis, and acetogenesis processes and severely inhibited methanogenesis process. With the pH increase from 7.0 to 10.0, the disintegration, acidogenesis, and acetogenesis processes respectively increased by 53%, 1030%, and 30% while methane production decreased by 3800%. However, no substantial effect on hydrolysis process was found. The model also indicated that the pathway of acetoclastic methanogenesis was more severely inhibited by alkaline condition than that of hydrogentrophic methanogenesis. |
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ISSN: | 0960-8524 1873-2976 |
DOI: | 10.1016/j.biortech.2017.04.054 |