ADM1-based modeling of methane production from acidified sweet sorghum extract in a two stage process

Antonopoulou, G; Gavala, HN; Skiadas, IV; Lyberatos, G

dc.contributor.author	Antonopoulou, G	en
dc.contributor.author	Gavala, HN	en
dc.contributor.author	Skiadas, IV	en
dc.contributor.author	Lyberatos, G	en
dc.date.accessioned	2014-03-01T02:07:35Z
dc.date.available	2014-03-01T02:07:35Z
dc.date.issued	2012	en
dc.identifier.issn	09608524	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29585
dc.subject	ADM1	en
dc.subject	Methane production	en
dc.subject	Modeling	en
dc.subject	Sweet sorghum	en
dc.subject	Two stage anaerobic process	en
dc.subject.other	ADM1	en
dc.subject.other	Anaerobic digestion model 1	en
dc.subject.other	Anaerobic process	en
dc.subject.other	Batch experiments	en
dc.subject.other	COD removal	en
dc.subject.other	Continuous reactors	en
dc.subject.other	Experimental data	en
dc.subject.other	Gasphase	en
dc.subject.other	Largest deviation	en
dc.subject.other	Methane production	en
dc.subject.other	Model equations	en
dc.subject.other	Model prediction	en
dc.subject.other	Steady state	en
dc.subject.other	Sweet sorghum	en
dc.subject.other	Theoretical prediction	en
dc.subject.other	Two stage	en
dc.subject.other	Two-stage process	en
dc.subject.other	Forecasting	en
dc.subject.other	Hydrogen	en
dc.subject.other	Methane	en
dc.subject.other	Models	en
dc.subject.other	Volatile fatty acids	en
dc.subject.other	Anaerobic digestion	en
dc.subject.other	hydrogen	en
dc.subject.other	methane	en
dc.subject.other	plant extract	en
dc.subject.other	sorghum plant extract	en
dc.subject.other	unclassified drug	en
dc.subject.other	volatile fatty acid	en
dc.subject.other	acidification	en
dc.subject.other	bioreactor	en
dc.subject.other	biotechnology	en
dc.subject.other	experimental study	en
dc.subject.other	fatty acid	en
dc.subject.other	hydrogen	en
dc.subject.other	methane	en
dc.subject.other	numerical model	en
dc.subject.other	sorghum	en
dc.subject.other	anaerobic digestion	en
dc.subject.other	anaerobic digestion model 1	en
dc.subject.other	article	en
dc.subject.other	bioreactor	en
dc.subject.other	chemical reaction kinetics	en
dc.subject.other	gas	en
dc.subject.other	model	en
dc.subject.other	pH	en
dc.subject.other	priority journal	en
dc.subject.other	sorghum	en
dc.subject.other	Acids	en
dc.subject.other	Anaerobiosis	en
dc.subject.other	Bacteria	en
dc.subject.other	Biofuels	en
dc.subject.other	Biological Oxygen Demand Analysis	en
dc.subject.other	Biomass	en
dc.subject.other	Bioreactors	en
dc.subject.other	Biotechnology	en
dc.subject.other	Butyrates	en
dc.subject.other	Computer Simulation	en
dc.subject.other	Hydrogen-Ion Concentration	en
dc.subject.other	Methane	en
dc.subject.other	Models, Biological	en
dc.subject.other	Plant Extracts	en
dc.subject.other	Reproducibility of Results	en
dc.subject.other	Sorghum	en
dc.subject.other	Time Factors	en
dc.title	ADM1-based modeling of methane production from acidified sweet sorghum extract in a two stage process	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.biortech.2011.11.088	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.biortech.2011.11.088	en
heal.publicationDate	2012	en
heal.abstract	The present study focused on the application of the Anaerobic Digestion Model 1 on the methane production from acidified sorghum extract generated from a hydrogen producing bioreactor in a two-stage anaerobic process. The kinetic parameters for hydrogen and volatile fatty acids consumption were estimated through fitting of the model equations to the data obtained from batch experiments. The simulation of the continuous reactor performance at all HRTs tested (20, 15, and 10. d) was very satisfactory. Specifically, the largest deviation of the theoretical predictions against the experimental data was 12% for the methane production rate at the HRT of 20. d while the deviation values for the 15 and 10. d HRT were 1.9% and 1.1%, respectively. The model predictions regarding pH, methane percentage in the gas phase and COD removal were in very good agreement with the experimental data with a deviation less than 5% for all steady states. Therefore, the ADM1 is a valuable tool for process design in the case of a two-stage anaerobic process as well. © 2011 Elsevier Ltd.	en
heal.journalName	Bioresource Technology	en
dc.identifier.doi	10.1016/j.biortech.2011.11.088	en
dc.identifier.volume	106	en
dc.identifier.spage	10	en
dc.identifier.epage	19	en