Prediction of methane yield at optimum pH for anaerobic digestion of organic fraction of municipal solid waste

A concept of methane yield at optimum pH was advanced and subsequently a mathematical model that simulates the optimal pH of a batch process for anaerobic digestion of organic fraction of municipal solid waste (MSW) was developed and validated. The model was developed on the basis of the microbial g...

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Bibliographic Details
Published in:Bioresource technology Vol. 99; no. 4; pp. 882 - 888
Main Authors: Liu, Cun-fang, Yuan, Xing-zhong, Zeng, Guang-ming, Li, Wen-wei, Li, Jing
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01-03-2008
[New York, NY]: Elsevier Ltd
Elsevier
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Summary:A concept of methane yield at optimum pH was advanced and subsequently a mathematical model that simulates the optimal pH of a batch process for anaerobic digestion of organic fraction of municipal solid waste (MSW) was developed and validated. The model was developed on the basis of the microbial growth kinetics and was divided into three processes: hydrolysis of substrates by hydrolytic bacteria, consumption of soluble substrate by acidogenic bacteria, and finally consumption of acetate and methane generated by methanogenic bacteria. Material balance and liquid phase equilibrium chemistry were used in this study. A series of experiments were conducted to validate the model. The model simulation results agreed reasonably with experimental data in different temperatures and total solid (TS) concentrations under uncontrolled pH. A computer circulation program was used to predict the optimal pH in different conditions. Experiments in different temperatures and TS were run under optimal pH which predicted by the model. The model was succeeded in increasing the methane production and the cumulative methane production had an average increment about 35% in optimal pH of different temperatures and TS.
Bibliography:http://dx.doi.org/10.1016/j.biortech.2007.01.013
ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0960-8524
1873-2976
DOI:10.1016/j.biortech.2007.01.013