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Dynamic modeling of biogas production in an UASB reactor for potato processing wastewater treatment

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dc.contributor.author Barampouti, EMP en
dc.contributor.author Mai, ST en
dc.contributor.author Vlyssides, AG en
dc.date.accessioned 2014-03-01T01:22:13Z
dc.date.available 2014-03-01T01:22:13Z
dc.date.issued 2005 en
dc.identifier.issn 1385-8947 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/16493
dc.subject Anaerobic digestion en
dc.subject Dynamic model en
dc.subject Potato processing wastewater en
dc.subject Upflow anaerobic sludge blanket en
dc.subject.classification Engineering, Chemical en
dc.subject.other Bioreactors en
dc.subject.other Fatty acids en
dc.subject.other Hydrolysis en
dc.subject.other Mathematical models en
dc.subject.other Regression analysis en
dc.subject.other Starch en
dc.subject.other Wastewater treatment en
dc.subject.other Biogas production en
dc.subject.other Soluble effluents en
dc.subject.other Volatile fatty acids en
dc.subject.other Biogas en
dc.subject.other digestion en
dc.subject.other UASB reactor en
dc.subject.other wastewater treatment en
dc.subject.other Biogas en
dc.subject.other Chemical Reactors en
dc.subject.other Fatty Acids en
dc.subject.other Hydrolysis en
dc.subject.other Regression Analysis en
dc.subject.other Starch en
dc.subject.other Solanum tuberosum en
dc.title Dynamic modeling of biogas production in an UASB reactor for potato processing wastewater treatment en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.cej.2004.06.010 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.cej.2004.06.010 en
heal.language English en
heal.publicationDate 2005 en
heal.abstract In this work dynamic mathematical models for the prediction of biogas production in a UASB reactor were developed. The dynamic modeling technique was applied successfully to a 2-year data record from a potato wastewater treatment plant. The technique used included regression analysis by residuals. Seventeen parameters were examined including the following: wastewater's flow rate, reactor's temperature and pH, total and soluble influent COD, wastewater's temperature and pH, total and soluble effluent COD, volatile fatty acids, alkalinity, biogas production rate and each parameter with a time lag of up to 10 days. Finally, after all parameters and all time lag trials three models were the best fitted models that were developed. The models' adequacy was checked by chi(2) test for a data record of the same UASB reactor but at a different time period and proved to be satisfactory. Additionally, a comparison among the three models was conducted as far as their ability to predict and to control biogas production rate is concerned. Through these models various aspects of the process can be enlighten, such as the fact that the hydrolysis of starch requires a resident time of 9 days. (C) 2004 Elsevier B.V. All rights reserved. en
heal.publisher ELSEVIER SCIENCE SA en
heal.journalName Chemical Engineering Journal en
dc.identifier.doi 10.1016/j.cej.2004.06.010 en
dc.identifier.isi ISI:000226718800006 en
dc.identifier.volume 106 en
dc.identifier.issue 1 en
dc.identifier.spage 53 en
dc.identifier.epage 58 en


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